1 00:00:05,873 --> 00:00:19,195 TODAY WE HAVE PRESENTATIONS. 2 00:00:19,195 --> 00:00:25,334 DR. SHERRY WILL BE ON ZOOM SO 3 00:00:25,334 --> 00:00:35,511 I'LL START BY INTRODUCING DR. 4 00:00:35,511 --> 00:00:36,779 SUSAN GREGURICK, ODSS LEADS 5 00:00:36,779 --> 00:00:38,781 IMPLEMENTATION OF STRATEGIC PLAN 6 00:00:38,781 --> 00:00:42,285 FOR DATA SCIENCE, THROUGH 7 00:00:42,285 --> 00:00:43,086 SCIENTIFIC, TECHNICAL, 8 00:00:43,086 --> 00:00:44,620 OPERATIONAL COLLABORATION WITH 9 00:00:44,620 --> 00:00:46,255 NIH INSTITUTES, CENTERS, 10 00:00:46,255 --> 00:00:46,556 OFFICES. 11 00:00:46,556 --> 00:00:48,124 DR. GREGURICK WAS PREVIOUSLY 12 00:00:48,124 --> 00:00:52,295 DIVISION DIRECT YOKING FOR 13 00:00:52,295 --> 00:00:54,630 BIOPHYSICS, BIOMEDICAL 14 00:00:54,630 --> 00:00:55,164 TECHNOLOGY, COMPUTATIONAL 15 00:00:55,164 --> 00:00:56,899 BIOSCIENCE NATIONAL INSTITUTE OF 16 00:00:56,899 --> 00:01:07,343 GENERAL MEDICAL SCIENCES, 17 00:01:12,381 --> 00:01:13,416 WELCOME, DR. GREGURICK. 18 00:01:13,416 --> 00:01:17,787 >> IT'S GOOD? 19 00:01:17,787 --> 00:01:18,988 >> WE CAN HEAR YOU. 20 00:01:18,988 --> 00:01:21,390 >> IT SAYS IT'S ON. 21 00:01:21,390 --> 00:01:23,025 >> I HEAR YOU FINE,AN. 22 00:01:23,025 --> 00:01:25,294 >> WE CAN HEAR YOU NOW. 23 00:01:25,294 --> 00:01:27,730 >> IF YOU CAN'T HEAR ME LET ME 24 00:01:27,730 --> 00:01:27,930 KNOW. 25 00:01:27,930 --> 00:01:30,333 IT'S SUCH A DELIGHT TO BE HERE 26 00:01:30,333 --> 00:01:32,335 TODAY TO TELL BUT THE WORK I'M 27 00:01:32,335 --> 00:01:35,705 DOING WITH DR. SEAN MOONEY AND 28 00:01:35,705 --> 00:01:37,373 DR. STEVE SHERRY, IT'S A REALLY 29 00:01:37,373 --> 00:01:39,842 PLEASURE TO WORK ACROSS NIH, 30 00:01:39,842 --> 00:01:41,611 ESPECIALLY WITH LUMINARIES LIKE 31 00:01:41,611 --> 00:01:45,014 SEAN AND STEVE WHO REALLY THINK 32 00:01:45,014 --> 00:01:47,350 ABOUT DATA, DATA SCIENCE, 33 00:01:47,350 --> 00:01:49,585 ARTIFICIAL INTELLIGENCE, I.T. 34 00:01:49,585 --> 00:01:49,986 INFRASTRUCTURE. 35 00:01:49,986 --> 00:01:52,789 I'M FROM DPCPSI, DATA SCIENCE, 36 00:01:52,789 --> 00:01:56,159 DPCPSI AS YOU KNOW IS A 37 00:01:56,159 --> 00:01:57,026 COORDINATING CATALYTIC 38 00:01:57,026 --> 00:01:57,927 SCIENTIFIC ACTIVITY BUT THERE'S 39 00:01:57,927 --> 00:01:58,995 16 OFFICES IN DPCPSI. 40 00:01:58,995 --> 00:02:00,563 I'M JUST ONE OF THEM. 41 00:02:00,563 --> 00:02:03,399 MY ROLE IS TO CATALYZE AND 42 00:02:03,399 --> 00:02:06,335 COORDINATE ACTIVITIES ACROSS THE 43 00:02:06,335 --> 00:02:08,404 INSTITUTES, CENTERS, OFFICES, 44 00:02:08,404 --> 00:02:09,005 AND DATA SCIENCE-RELATED 45 00:02:09,005 --> 00:02:10,072 ACTIVITIES, I'LL TELL YOU ABOUT 46 00:02:10,072 --> 00:02:12,141 THOSE BUT I CAN'T TELL YOU ABOUT 47 00:02:12,141 --> 00:02:19,482 EVERYTHING SIMPLY BECAUSE THERE 48 00:02:19,482 --> 00:02:22,952 WOULDN'T BE ENOUGH TIME. 49 00:02:22,952 --> 00:02:25,354 I'M GOING TO HIGHLIGHT WORK WITH 50 00:02:25,354 --> 00:02:28,891 SEAN AND STEVE IN THE LIBRARY 51 00:02:28,891 --> 00:02:29,625 COMMUNITIES. 52 00:02:29,625 --> 00:02:34,130 WE COORDINATE, CATALYZE, WE'RE 53 00:02:34,130 --> 00:02:36,199 LOOKING TOWARDS A MODERNIZED 54 00:02:36,199 --> 00:02:38,734 BIOMEDICAL SYSTEM, FUTURE PLANS 55 00:02:38,734 --> 00:02:40,903 ARE EXCITING BECAUSE THAT'S THE 56 00:02:40,903 --> 00:02:42,338 ON STEROIDS WHAT WE'VE BEEN 57 00:02:42,338 --> 00:02:42,538 DOING. 58 00:02:42,538 --> 00:02:44,507 EXCITED TO TELL YOU ABOUT THE 59 00:02:44,507 --> 00:02:47,243 WAY IN WHICH WE'RE ENHANCING NIH 60 00:02:47,243 --> 00:02:49,445 DATA SCIENCE WORK FORCE, I CAN'T 61 00:02:49,445 --> 00:02:50,980 TELL YOU ABOUT TRAINING AND 62 00:02:50,980 --> 00:02:52,615 EXTRAMURAL, THAT WOULD BE 63 00:02:52,615 --> 00:02:54,150 ANOTHER TALK. 64 00:02:54,150 --> 00:02:56,319 WE BUILD STRATEGIC PLANS. 65 00:02:56,319 --> 00:02:58,955 YOU WON'T HEAR ABOUT A.I. AHEAD 66 00:02:58,955 --> 00:03:01,357 BUT IT YOU'RE INTERESTED, I'M 67 00:03:01,357 --> 00:03:04,327 HAPPY TO ANSWER QUESTIONS. 68 00:03:04,327 --> 00:03:07,063 WE'RE MOTIVATED BY THE STRATEGIC 69 00:03:07,063 --> 00:03:08,798 PLAN FOR DATA SIGNS. 70 00:03:08,798 --> 00:03:11,000 RFI WENT OUT, CAME BACK, WE'RE 71 00:03:11,000 --> 00:03:13,603 ANALYZING THE RESPONSES. 72 00:03:13,603 --> 00:03:15,471 IT WAS NUMEROUS AND MEATY. 73 00:03:15,471 --> 00:03:21,611 WE'LL HAVE A PUBLIC SYNOPSIS IN 74 00:03:21,611 --> 00:03:22,678 THE FINALIZED PLANS, OUT BY THE 75 00:03:22,678 --> 00:03:25,848 END OF THE YEAR WITH OTHER 76 00:03:25,848 --> 00:03:27,617 STRATEGIC PLANS. 77 00:03:27,617 --> 00:03:29,585 A NUMBER OF GOALS, THE NUMBER 78 00:03:29,585 --> 00:03:35,625 ONE GOAL WE HEARD WE HAVE TO 79 00:03:35,625 --> 00:03:37,360 SUPPORT DATA MANAGEMENT AND 80 00:03:37,360 --> 00:03:39,795 SHARING POLICY, LOUD AND CLEAR, 81 00:03:39,795 --> 00:03:41,864 THE LIBRARY HAS A CRITICAL ROLE 82 00:03:41,864 --> 00:03:46,903 HERE, I'M EXCITED TO EXPLORE 83 00:03:46,903 --> 00:03:50,940 THAT WITH YOU. 84 00:03:50,940 --> 00:03:55,344 SECOND, ENHANCING HUMAN-DERIVED 85 00:03:55,344 --> 00:03:56,312 RESEARCH WITH DR. BERTAGNOLLI, 86 00:03:56,312 --> 00:03:58,948 WORKING WITH SEAN AND MY 87 00:03:58,948 --> 00:04:01,918 COLLEAGUES AT NCATS, AND NIA. 88 00:04:01,918 --> 00:04:04,854 GOAL 3 IS ABOUT A.I. AND 89 00:04:04,854 --> 00:04:05,154 COMPUTATION. 90 00:04:05,154 --> 00:04:06,923 GOAL 4 IS SOMETHING I'LL TALK 91 00:04:06,923 --> 00:04:08,891 BRIEFLY ABOUT BECAUSE YOU IMPACT 92 00:04:08,891 --> 00:04:11,727 SIGNIFICANTLY OUR ABILITY TO 93 00:04:11,727 --> 00:04:13,596 SUPPORT A FEDERATED DATA 94 00:04:13,596 --> 00:04:13,963 INFRASTRUCTURE. 95 00:04:13,963 --> 00:04:15,131 WE WANT TO INVEST IN PEOPLE 96 00:04:15,131 --> 00:04:16,933 BECAUSE THEY ARE THE FUTURE OF 97 00:04:16,933 --> 00:04:17,633 OUR WORKFORCE. 98 00:04:17,633 --> 00:04:23,639 THEY ARE GOING TO TAKE OVER WHEN 99 00:04:23,639 --> 00:04:25,207 I RETIRE, WHEN ALL OF US SEEK 100 00:04:25,207 --> 00:04:25,942 MORE FUN THINGS. 101 00:04:25,942 --> 00:04:27,910 THE NUMBER ONE THING I HEARD AND 102 00:04:27,910 --> 00:04:30,680 THAT YOU HEARD, IT'S ON YOUR 103 00:04:30,680 --> 00:04:33,616 BIND, HOW DO WE EXPAND DATA 104 00:04:33,616 --> 00:04:35,584 CULTURE, DATA SHARING, THAT IS 105 00:04:35,584 --> 00:04:37,420 SUPPORTED BY THE MANAGEMENT AND 106 00:04:37,420 --> 00:04:41,590 SHARING POLICY, THIS IS A REALLY 107 00:04:41,590 --> 00:04:43,225 IMPACTFUL POLICY, IT'S GOING TO 108 00:04:43,225 --> 00:04:45,294 WRITE A DATA MANAGEMENT SHARING 109 00:04:45,294 --> 00:04:47,830 PLAN AT THE TIME OF SUBMISSION 110 00:04:47,830 --> 00:04:50,232 OF GRANTS OR CONTRACT OR 111 00:04:50,232 --> 00:04:51,000 INTRAMURAL RESEARCH PROJECT AND 112 00:04:51,000 --> 00:04:52,535 THEY ARE GOING TO TELL US HOW 113 00:04:52,535 --> 00:04:55,237 THEY ARE GOING TO SHARE DATA. 114 00:04:55,237 --> 00:04:58,240 THIS IS SOMETHING I THINK NLM 115 00:04:58,240 --> 00:05:00,509 HAS DEEP, DEEP EXPERIENCE IN AND 116 00:05:00,509 --> 00:05:03,879 CAN REALLY ADD VALUE IN CURATION 117 00:05:03,879 --> 00:05:05,481 AND THERE'S A LOT OF MAPPING. 118 00:05:05,481 --> 00:05:08,084 I DO A LOT OF MAPPING TO DATA 119 00:05:08,084 --> 00:05:08,417 STANDARDS. 120 00:05:08,417 --> 00:05:10,920 IT'S REALLY IMPORTANT AND 121 00:05:10,920 --> 00:05:12,788 CRITICAL, VALUE ADDED FROM 122 00:05:12,788 --> 00:05:14,623 ANALYTICS AND ANALYTICS 123 00:05:14,623 --> 00:05:15,624 PLATFORMS, FINALLY IMPACT. 124 00:05:15,624 --> 00:05:19,729 HERE IS WHERE IT'S HARD, A HARD 125 00:05:19,729 --> 00:05:21,197 CONVERSATION, BECAUSE WE'RE USED 126 00:05:21,197 --> 00:05:22,164 TO COUNTING CITATIONS BUT WHAT 127 00:05:22,164 --> 00:05:23,499 DO DO YOU IN DATA SHARING? 128 00:05:23,499 --> 00:05:25,368 HOW DO YOU SHOW IMPACT OF 129 00:05:25,368 --> 00:05:27,003 SCIENCE, OF SOMETHING THAT IS 130 00:05:27,003 --> 00:05:28,204 FAR DOWNSTREAM? 131 00:05:28,204 --> 00:05:31,374 THESE ARE THINGS I'M EXCITED 132 00:05:31,374 --> 00:05:33,142 TOWARDS, STEVE AND SEAN ARE. 133 00:05:33,142 --> 00:05:34,877 THERE'S A CONCEPT WE'RE DOING SO 134 00:05:34,877 --> 00:05:37,713 I'M GOING WALK THROUGH A FEW AND 135 00:05:37,713 --> 00:05:39,382 I'LL HIGHLIGHT SOME THINGS I 136 00:05:39,382 --> 00:05:40,716 THINK ARE REALLY IMPACTFUL FOR 137 00:05:40,716 --> 00:05:43,119 NLM, AND I'M NOT GOING TO TALK 138 00:05:43,119 --> 00:05:44,420 TOO BEFORE DATA CURATION NETWORK 139 00:05:44,420 --> 00:05:52,194 BUT I'M GOING TO TELL YOU WE 140 00:05:52,194 --> 00:05:53,162 HAVE PARTNERED TO INSTANTIATE 141 00:05:53,162 --> 00:05:54,830 TRAINING AND EXPERTISE IN THE 142 00:05:54,830 --> 00:05:56,165 LIBRARY COMMUNITY FOR DATA 143 00:05:56,165 --> 00:05:57,466 CRAIGS BECAUSE THE FIRST THING 144 00:05:57,466 --> 00:05:59,535 INVESTIGATORS SHOULD DO IS GO TO 145 00:05:59,535 --> 00:06:02,938 THEIR LIBRARIAN AND TALK ABOUT 146 00:06:02,938 --> 00:06:04,006 DATA SHARING BECAUSE THAT'S 147 00:06:04,006 --> 00:06:05,775 WHERE THE RUBBER MEETS THE ROAD. 148 00:06:05,775 --> 00:06:06,876 THOSE PEOPLE KNOW WHAT DATA 149 00:06:06,876 --> 00:06:09,812 SHARING IS, THEY KNOW ABOUT 150 00:06:09,812 --> 00:06:11,113 REPOSITORIES, THEY KNOW ABOUT 151 00:06:11,113 --> 00:06:14,316 CITATIONS, THEY KNOW HOW TO 152 00:06:14,316 --> 00:06:15,484 CONSTRUCT RETURN ON INVESTMENT. 153 00:06:15,484 --> 00:06:20,723 IF YOU'RE NOT TALK TALKING TO R 154 00:06:20,723 --> 00:06:23,392 LIBRARIAN YOU'RE MISSING OUT. 155 00:06:23,392 --> 00:06:26,896 WE ARE FORMING A FORMAL 156 00:06:26,896 --> 00:06:30,599 PARTNERSHIP WITH ELIXIRE LIKE 157 00:06:30,599 --> 00:06:33,436 WITH RDA, WE'RE FORMING ANOTHER 158 00:06:33,436 --> 00:06:34,537 PARTNERSHIP WITH ELIXIR, IT WILL 159 00:06:34,537 --> 00:06:40,142 LOOK LIKE SCIENCE AND TRAINING 160 00:06:40,142 --> 00:06:40,910 ACROSS OUR TWO. 161 00:06:40,910 --> 00:06:42,745 I WANT TO TELL YOU ABOUT THERE'S 162 00:06:42,745 --> 00:06:44,947 A LOT OF HELP THAT'S NEEDED IN 163 00:06:44,947 --> 00:06:46,482 THE RESEARCH COMMUNITY AND IN 164 00:06:46,482 --> 00:06:50,186 OUR COMMUNITY AT NIH. 165 00:06:50,186 --> 00:06:51,420 OUR PROGRAM OFFICERS ARE GETTING 166 00:06:51,420 --> 00:06:52,621 DATA MANAGEMENT SHARING PLANS 167 00:06:52,621 --> 00:06:54,690 AND NEED SOME GUIDANCE. 168 00:06:54,690 --> 00:06:56,559 THEY DON'T NEED US TO TELL THEM 169 00:06:56,559 --> 00:06:58,627 THE PLAN IS OKAY OR NOT, THAT'S 170 00:06:58,627 --> 00:06:59,161 THEIR JOB. 171 00:06:59,161 --> 00:07:01,430 THEY NEED TO UNDERSTAND WHAT 172 00:07:01,430 --> 00:07:03,466 DOES A GOOD PLAN LOOK LIKE, WHAT 173 00:07:03,466 --> 00:07:04,333 SHOULD IT CONSIST OF. 174 00:07:04,333 --> 00:07:06,302 THIS IS THE DATA SCIENCE CENTER 175 00:07:06,302 --> 00:07:09,138 OF EXCELLENCE. 176 00:07:09,138 --> 00:07:10,139 IT PROVIDES GUIDANCE AND 177 00:07:10,139 --> 00:07:12,108 RESOURCES TOKER OUR NIH 178 00:07:12,108 --> 00:07:13,075 COMMUNITY PROGRAM STAFF, TO 179 00:07:13,075 --> 00:07:15,211 UNDERSTAND WHAT IS A DATA 180 00:07:15,211 --> 00:07:16,278 MANAGEMENT SHARING PLAN, WHAT 181 00:07:16,278 --> 00:07:19,248 DOES IT LOOK LIKE IN DIFFERENT 182 00:07:19,248 --> 00:07:23,853 COMMUNITIES, WHAT IS FAIR, HOW 183 00:07:23,853 --> 00:07:25,254 DOES THAT GET IMPLEMENTED, WE'LL 184 00:07:25,254 --> 00:07:27,556 MAKE EVERYTHING PUBLIC. 185 00:07:27,556 --> 00:07:29,325 WE'RE PROVIDING TRAINING. 186 00:07:29,325 --> 00:07:30,326 FOLKS FROM THE EXTRAMURAL 187 00:07:30,326 --> 00:07:32,061 COMMUNITY WITH LOOK AT RESOURCES 188 00:07:32,061 --> 00:07:35,564 BUT IT'S REALLY FOR NIH STAFF. 189 00:07:35,564 --> 00:07:36,765 CENTER OF EXCELLENCE IS A 190 00:07:36,765 --> 00:07:38,167 PARTNERSHIP WITH THE OFFICE OF 191 00:07:38,167 --> 00:07:39,034 EXTRAMURAL RESEARCH, AND WITH 192 00:07:39,034 --> 00:07:42,471 MANY OF OUR I.C.s. 193 00:07:42,471 --> 00:07:43,572 SO THAT'S AN FYI. 194 00:07:43,572 --> 00:07:46,175 WE'VE GOT OUR EYES ON THIS BUT 195 00:07:46,175 --> 00:07:50,980 KNOW THIS IS A HARD PROBLEM. 196 00:07:50,980 --> 00:07:53,516 ACROSS NIH, WE'RE SUPPORTING 197 00:07:53,516 --> 00:07:54,717 SIGNIFICANT BIOMEDICAL DATA 198 00:07:54,717 --> 00:07:57,119 ASSETS THROUGH TWO FUNDING 199 00:07:57,119 --> 00:07:57,453 ANNOUNCEMENTS. 200 00:07:57,453 --> 00:08:03,692 CAN YOU SEE THE FIST, PAR-20. 201 00:08:03,692 --> 00:08:05,961 OH, THOSE ARE OLD. 202 00:08:05,961 --> 00:08:12,334 SHOOT, NOTE TO SELF, FIX THE 203 00:08:12,334 --> 00:08:12,568 SLIDES. 204 00:08:12,568 --> 00:08:23,112 THESE ARE FUNDING ANNOUNCED, NOT 205 00:08:28,817 --> 00:08:31,820 AS RESOURCE, THOSE ARE THE 206 00:08:31,820 --> 00:08:33,656 GUIDES FOR REVIEWING, LOOKING AT 207 00:08:33,656 --> 00:08:34,957 DOES IT FILL A SCIENTIFIC GAP IN 208 00:08:34,957 --> 00:08:36,859 THE COMMUNITY, IS IT AN 209 00:08:36,859 --> 00:08:37,726 IMPORTANT NEED? 210 00:08:37,726 --> 00:08:41,030 IS THERE GOOD DATA MANAGEMENT 211 00:08:41,030 --> 00:08:44,400 PRACTICES INSTANTIATED IN THIS 212 00:08:44,400 --> 00:08:44,667 RESOURCE? 213 00:08:44,667 --> 00:08:45,734 DOES IT CONTRIBUTE TO THE 214 00:08:45,734 --> 00:08:46,936 COMMUNITIES, IS IT WORKING WITH 215 00:08:46,936 --> 00:08:48,470 THE JOURNALS OF THAT COMMUNITY, 216 00:08:48,470 --> 00:08:50,105 WITH THE RESEARCHERS, DOES IT 217 00:08:50,105 --> 00:08:51,941 HAVE A SCIENTIFIC ADVISORY 218 00:08:51,941 --> 00:08:52,374 BOARD? 219 00:08:52,374 --> 00:08:54,143 FINALLY DOES IT UNDERSTAND DATA 220 00:08:54,143 --> 00:08:55,144 LIFE CYCLE AND PRESERVATION AND 221 00:08:55,144 --> 00:08:55,444 MANAGEMENT. 222 00:08:55,444 --> 00:08:58,414 THIS IS WHAT THE LIBRARY KNOWS 223 00:08:58,414 --> 00:08:58,614 BEST. 224 00:08:58,614 --> 00:09:00,716 I LOVE TO WORK WITH I.C.s AND 225 00:09:00,716 --> 00:09:02,885 NLM ON THIS PROGRAM. 226 00:09:02,885 --> 00:09:05,521 YOU'LL SEE SOME OF THE RESOURCES 227 00:09:05,521 --> 00:09:10,426 WE'RE FUNDING, MY OFFICE 228 00:09:10,426 --> 00:09:11,760 CO-FUNDS, SO THAT'S HOW IT WORKS 229 00:09:11,760 --> 00:09:13,829 IN MY GROUP. 230 00:09:13,829 --> 00:09:16,232 SOME THESE RESOURCES HAVE RED 231 00:09:16,232 --> 00:09:17,967 BOXES, THERE'S A PARTICULAR 232 00:09:17,967 --> 00:09:18,767 REASON, SPECIAL FLAGS. 233 00:09:18,767 --> 00:09:21,837 I'M GOING TO TELL BUT THE GLOBAL 234 00:09:21,837 --> 00:09:23,772 BIODATA COALITION AND CORE 235 00:09:23,772 --> 00:09:24,673 GLOBAL BIODATA RESOURCE, THEY 236 00:09:24,673 --> 00:09:27,076 HAVE GONE THROUGH A SECOND PEER 237 00:09:27,076 --> 00:09:27,309 REVIEW. 238 00:09:27,309 --> 00:09:28,177 IT'S NOT MONETARY. 239 00:09:28,177 --> 00:09:30,579 IT'S A NOTE OF NOTORIETY THAT 240 00:09:30,579 --> 00:09:32,448 THESE ARE CORE RESOURCES THAT 241 00:09:32,448 --> 00:09:35,951 THE COMMUNITY HAS SAID ARE 242 00:09:35,951 --> 00:09:37,486 VALUABLE AND, YOU KNOW, GETTING 243 00:09:37,486 --> 00:09:41,523 RESOURCES IS SO HARD. 244 00:09:41,523 --> 00:09:42,858 OFTEN RESEARCHERS DON'T CITE 245 00:09:42,858 --> 00:09:43,826 DATA OR RESOURCES, WE STRUGGLE 246 00:09:43,826 --> 00:09:46,662 WITH THIS EVERY DAY. 247 00:09:46,662 --> 00:09:53,435 I TALK WITH STEVE A LOT. 248 00:09:53,435 --> 00:09:56,505 HOW IS THE DATA IN REPOSITORY 249 00:09:56,505 --> 00:09:57,840 AND FOR REPOSITORIES TO SHOW 250 00:09:57,840 --> 00:10:00,776 VALUE, THIS IS ONE OF MANY WAYS. 251 00:10:00,776 --> 00:10:03,178 CHRISTY IS HERE. 252 00:10:03,178 --> 00:10:06,682 SHOUT OUT TO CHRISTY. 253 00:10:06,682 --> 00:10:07,449 GENERAL REPOSITORY ECOSYSTEM, 254 00:10:07,449 --> 00:10:11,053 PUT YOUR DATA IN AND GO, 255 00:10:11,053 --> 00:10:14,356 COMMUNITY-DRIVEN REPOSITORIES 256 00:10:14,356 --> 00:10:17,426 ARE IMPORTANT FOR OUR SCIENTIFIC 257 00:10:17,426 --> 00:10:18,961 COMMUNITIES. 258 00:10:18,961 --> 00:10:20,462 WE NEED THE SUPPORT OF 259 00:10:20,462 --> 00:10:21,163 REPOSITORY, FOR RESEARCHERS AND 260 00:10:21,163 --> 00:10:23,966 THERE ARE MANY WHO JUST DON'T 261 00:10:23,966 --> 00:10:25,634 HAVE THE COMMUNITY, THE 262 00:10:25,634 --> 00:10:26,635 RESOURCES AREN'T THERE THEY NEED 263 00:10:26,635 --> 00:10:28,470 TO SHARE TO SHARE DATA IN A WAY 264 00:10:28,470 --> 00:10:29,038 THAT'S EFFECTIVE. 265 00:10:29,038 --> 00:10:31,974 OUR GOAL IS TO MAKE DATA SHARING 266 00:10:31,974 --> 00:10:36,011 MORE EFFECTIVE ABE CROSS THE 267 00:10:36,011 --> 00:10:37,780 GENERALIST REPOSITORY BY 268 00:10:37,780 --> 00:10:42,051 INSTANTIATING THE CONCEPT OF 269 00:10:42,051 --> 00:10:43,786 CO-OPETITION, THINGS WE WITH 270 00:10:43,786 --> 00:10:44,687 COLLABORATE ON TOGETHER. 271 00:10:44,687 --> 00:10:49,158 FOR EXAMPLE COLLABORATE ON WAYS 272 00:10:49,158 --> 00:10:50,459 TO INSTANTIATE CONSISTENT 273 00:10:50,459 --> 00:10:52,761 CAPABILITIES, METADATA, SEARCH 274 00:10:52,761 --> 00:10:57,566 AND DISCOVERY, CAN WE GET DATA 275 00:10:57,566 --> 00:10:59,768 ACCESS, DISCOVERY ACROSS THE 276 00:10:59,768 --> 00:11:00,102 REPOSITORIES. 277 00:11:00,102 --> 00:11:02,171 CAN WE OUTREACH AND TRAIN OUR 278 00:11:02,171 --> 00:11:06,542 RESEARCHERS COLLECTIVELY? 279 00:11:06,542 --> 00:11:09,178 WHY DON'T WE WORK TOGETHER ON 280 00:11:09,178 --> 00:11:09,445 TRAINING? 281 00:11:09,445 --> 00:11:11,246 CAN WE ENCOURAGE RESEARCH WITHIN 282 00:11:11,246 --> 00:11:13,349 THE RESEARCH COMMUNITY THAT USES 283 00:11:13,349 --> 00:11:14,350 THIS DATA, IT'S VALUABLE, WE 284 00:11:14,350 --> 00:11:16,418 WANT TO SEE PEOPLE REUSE DATA IN 285 00:11:16,418 --> 00:11:17,720 IMPORTANT WAYS. 286 00:11:17,720 --> 00:11:20,456 SO THIS IS THE WORK IN GRAY, YOU 287 00:11:20,456 --> 00:11:21,890 CAN SEE THE COLLEAGUES AT THE 288 00:11:21,890 --> 00:11:23,425 BOTTOM, IT'S BEEN A PLEASURE 289 00:11:23,425 --> 00:11:24,960 WORKING ON THIS FOR THE PAST 2 290 00:11:24,960 --> 00:11:26,028 1/2 YEARS. 291 00:11:26,028 --> 00:11:36,605 I REALLY LOOK FORWARD TO 292 00:11:36,605 --> 00:11:42,010 CONTINUING THE PROGRAM AND THANK 293 00:11:42,010 --> 00:11:43,011 CHRISTY FOR HER LEADERSHIP. 294 00:11:43,011 --> 00:11:43,779 WHAT IS THIS? 295 00:11:43,779 --> 00:11:50,686 I KNOW IT WHEN I SEE IT. 296 00:11:50,686 --> 00:11:55,057 STEVE AND OTHERS DEVELOPED A 297 00:11:55,057 --> 00:11:56,392 STRONG CONCEPT THESE SIGNIFICANT 298 00:11:56,392 --> 00:11:57,893 BIOMEDICAL DATA ASSETS ARE 299 00:11:57,893 --> 00:12:00,095 DYNAMIC, REPOSITORIES OR 300 00:12:00,095 --> 00:12:01,830 KNOWLEDGE BASES, MAY BE STATIC. 301 00:12:01,830 --> 00:12:03,499 THEY OFTEN HAVE DATA 302 00:12:03,499 --> 00:12:05,134 COLLECTIONS, MANY TIMES DATA 303 00:12:05,134 --> 00:12:06,769 HARMONIZE, NOT ALWAYS, BUT MANY 304 00:12:06,769 --> 00:12:07,102 TIMES. 305 00:12:07,102 --> 00:12:08,070 THEY PROVIDE STRATEGIC UTILITY 306 00:12:08,070 --> 00:12:12,975 FOR NIH AND OUR MISSION, ACROSS 307 00:12:12,975 --> 00:12:15,177 NIH, LIKE UNIPRO, A MISSION THAT 308 00:12:15,177 --> 00:12:16,812 SHARES MANY I.C.s, AND THEY 309 00:12:16,812 --> 00:12:24,920 ARE REALLY IMPORTANT FOR OUR 310 00:12:24,920 --> 00:12:26,355 UNDERSTANDING OF LIVING SYSTEMS. 311 00:12:26,355 --> 00:12:29,191 WE CAME UP WITH SOME CONCEPTS WE 312 00:12:29,191 --> 00:12:33,128 WANT TO EXPLORE FURTHER, CAN WE 313 00:12:33,128 --> 00:12:34,430 MAINTAIN SUSTAINABILITY PLANS 314 00:12:34,430 --> 00:12:38,400 FOR RESOURCES? 315 00:12:38,400 --> 00:12:39,768 WE CAN PROMISE OVERFUNDING BUT 316 00:12:39,768 --> 00:12:41,670 CAN WE THINK ABOUT WHAT 317 00:12:41,670 --> 00:12:42,871 SUSTAINABILITY MIGHT LOOK LIKE 318 00:12:42,871 --> 00:12:44,740 FOR BIOMEDICAL DATA ASSETS? 319 00:12:44,740 --> 00:12:48,010 ARE THERE OPERATIONAL BEST 320 00:12:48,010 --> 00:12:49,978 PRACTICES THAT CAN BE SHARED? 321 00:12:49,978 --> 00:12:51,613 ARE THERE STANDARDS AND 322 00:12:51,613 --> 00:12:54,249 APPROACHES FOR COLLECTING 323 00:12:54,249 --> 00:12:56,118 METRICS, IT SEEMS EASY, BUT THAT 324 00:12:56,118 --> 00:12:57,519 DOESN'T HAPPEN IN WAYS WE WANT 325 00:12:57,519 --> 00:13:01,356 IT TO SO WE WANT TO THINK ABOUT 326 00:13:01,356 --> 00:13:02,224 METRICS FOR SIGNIFICANT 327 00:13:02,224 --> 00:13:03,525 BIOMEDICAL DATA ASSETS. 328 00:13:03,525 --> 00:13:05,494 WHAT ABOUT INFRASTRUCTURE? 329 00:13:05,494 --> 00:13:06,962 YOU'LL HEAR MORE ABOUT 330 00:13:06,962 --> 00:13:09,031 INFRASTRUCTURE FROM DR. SEAN 331 00:13:09,031 --> 00:13:09,264 MOONEY. 332 00:13:09,264 --> 00:13:10,899 WHAT ABOUT STANDARDS? 333 00:13:10,899 --> 00:13:12,968 OMOP IS A BIG STANDARD FOR A LOT 334 00:13:12,968 --> 00:13:14,937 OF CLINICAL RESEARCH BUT THERE 335 00:13:14,937 --> 00:13:15,804 ARE OTHER STANDARDS. 336 00:13:15,804 --> 00:13:19,508 HOW CAN WE PUSH AND HELP SUPPORT 337 00:13:19,508 --> 00:13:20,843 STANDARDS, COMMON DATA ELEMENTS. 338 00:13:20,843 --> 00:13:24,446 FINALLY ARE THERE WAYS TO THINK 339 00:13:24,446 --> 00:13:27,082 ABOUT OVERSIGHT AND 340 00:13:27,082 --> 00:13:27,483 RESPONSIBILITY FOR 341 00:13:27,483 --> 00:13:29,718 SUSTAINABILITY IN MANAGEMENT, 342 00:13:29,718 --> 00:13:30,919 STRUCTURES THAT HELP ACQUIRE 343 00:13:30,919 --> 00:13:32,688 YOUR FEEDBACK SO WE CAN MAKE 344 00:13:32,688 --> 00:13:34,990 SURE THESE RESOURCES ARE MEETING 345 00:13:34,990 --> 00:13:35,624 YOUR NEEDS. 346 00:13:35,624 --> 00:13:38,460 THIS IS -- THE LIBRARY IS THE 347 00:13:38,460 --> 00:13:39,561 RIGHT PLACE. 348 00:13:39,561 --> 00:13:41,864 YOU'RE EXPERTS HERE. 349 00:13:41,864 --> 00:13:43,899 AND SO I'M THRILLED TO WORK WITH 350 00:13:43,899 --> 00:13:49,204 STEVE AND SEAN ON THESE 351 00:13:49,204 --> 00:13:50,272 ACTIVITIES ACROSS NIH. 352 00:13:50,272 --> 00:13:52,307 WE'RE NOT THE ONLY ONES WORKING 353 00:13:52,307 --> 00:13:53,041 ON THIS. 354 00:13:53,041 --> 00:13:56,111 ELIXIR, YOU KNOW THE CORE DATA 355 00:13:56,111 --> 00:13:57,312 RESOURCES IN ELIXIR. 356 00:13:57,312 --> 00:13:59,848 WE'VE GRAFTED SOME OF THEIR 357 00:13:59,848 --> 00:14:02,584 INDICATORS SUCH AS COMMUNITY 358 00:14:02,584 --> 00:14:06,388 FOCUS, QUALITY OF SERVICE, 359 00:14:06,388 --> 00:14:08,824 FUNDING STRUCK. 360 00:14:08,824 --> 00:14:14,062 THERE'S A DUAL ACTIVITY, MY 361 00:14:14,062 --> 00:14:16,698 COLLEAGUE DR. LAURA BEVIK CAME 362 00:14:16,698 --> 00:14:20,602 UP WITH THIS FOR DOE RESOURCES, 363 00:14:20,602 --> 00:14:24,039 LIKE NIH THEY HAVE CORE 364 00:14:24,039 --> 00:14:24,740 RESOURCES. 365 00:14:24,740 --> 00:14:28,544 FINALLY I'M CALLING OUT 366 00:14:28,544 --> 00:14:29,177 HIGHLIGHTS, THE COALITION, 367 00:14:29,177 --> 00:14:35,284 RESOURCES GO THROUGH THAT AND 368 00:14:35,284 --> 00:14:37,085 ARE DESIGNATED, THOSE ARE THE 369 00:14:37,085 --> 00:14:38,820 RED BOXES AROUND THE ONES I 370 00:14:38,820 --> 00:14:40,255 SHOWED YOU. 371 00:14:40,255 --> 00:14:42,658 I'M SO PLEASED WE CAN WORK WITH 372 00:14:42,658 --> 00:14:43,859 DATA SIGNS, INSTANTIATE ABILITY 373 00:14:43,859 --> 00:14:50,532 FOR OUR DATA RESOURCES THAT ANY 374 00:14:50,532 --> 00:14:54,903 I.C. CAN ACCESS FREE OF CHARGE. 375 00:14:54,903 --> 00:14:56,872 ANY I.C., ANY FUNDED DATABASE, 376 00:14:56,872 --> 00:15:03,011 KNOWLEDGE BASE, CAN HAVE THEIR 377 00:15:03,011 --> 00:15:03,679 RESOURCES WITH PERSISTENT 378 00:15:03,679 --> 00:15:04,212 IDENTIFIERS. 379 00:15:04,212 --> 00:15:11,320 THIS IS FOR EXTRAMURAL RESOURCE 380 00:15:11,320 --> 00:15:11,787 RESOURCES 381 00:15:11,787 --> 00:15:13,088 TO GET CITED. 382 00:15:13,088 --> 00:15:18,527 PLEASE LINK YOUR DATA TO YOUR 383 00:15:18,527 --> 00:15:20,195 ORCID I.D 384 00:15:20,195 --> 00:15:25,434 YOU'LL GET CREDIT ON DATA 385 00:15:25,434 --> 00:15:28,637 SHARING AND WE'LL SHOW A RETURN 386 00:15:28,637 --> 00:15:29,605 ON INVESTMENT. 387 00:15:29,605 --> 00:15:32,007 THERE'S MANY WAYS TO INCENTIVIZE 388 00:15:32,007 --> 00:15:33,775 DATA SHARING. 389 00:15:33,775 --> 00:15:40,983 WE PARTNER WITH CORE DATA 390 00:15:40,983 --> 00:15:44,386 RESOURCE COMMUNITY, THEY HAVE A 391 00:15:44,386 --> 00:15:46,455 LOT OF RESEARCH, WE THOUGHT IT 392 00:15:46,455 --> 00:15:50,525 WOULD BE NICE TO PARTNER AND 393 00:15:50,525 --> 00:15:52,160 HAVE RESEARCHERS TELL US HOW 394 00:15:52,160 --> 00:15:56,632 THEY WOULD LIKE TO WE USE NLM 395 00:15:56,632 --> 00:15:59,701 DATA, OTHER DATA, AND THEN THEY 396 00:15:59,701 --> 00:16:02,437 CAN GET MONEY FOR ACTUALLY 397 00:16:02,437 --> 00:16:03,205 ACCOMPLISHING THOSE GOALS. 398 00:16:03,205 --> 00:16:06,475 SO I'M JUST PLEASED TO BE ABLE 399 00:16:06,475 --> 00:16:08,010 TO CONTINUE THIS PARTNERSHIP. 400 00:16:08,010 --> 00:16:10,545 WE HAVE COOL THINGS. 401 00:16:10,545 --> 00:16:13,148 LAST YEAR THE GUYS WHO WON THE 402 00:16:13,148 --> 00:16:14,249 TOP PRIZE, KIND OF A LOT OF 403 00:16:14,249 --> 00:16:17,419 MONEY, I THINK IT'S LIKE 404 00:16:17,419 --> 00:16:18,854 $100,000, WERE GRAD STUDENTS AND 405 00:16:18,854 --> 00:16:23,892 POSTDOCS. 406 00:16:23,892 --> 00:16:25,627 IT WAS SO COOL. 407 00:16:25,627 --> 00:16:29,031 OKAY, THERE'S WAYS WE CAN THINK 408 00:16:29,031 --> 00:16:33,001 ABOUT BETTER ACCESS, LESS COST 409 00:16:33,001 --> 00:16:37,339 AND FORMATTING, MY COLLEAGUE THE 410 00:16:37,339 --> 00:16:38,874 CHAIR INFORMATICS WORK 411 00:16:38,874 --> 00:16:41,977 FORMATTING FOR FDA AND CMS, 412 00:16:41,977 --> 00:16:43,145 FORMATTING DATA FOR NCC, THAT'S 413 00:16:43,145 --> 00:16:47,215 LIKE PEOPLE. 414 00:16:47,215 --> 00:16:47,849 THAT'S PEOPLE. 415 00:16:47,849 --> 00:16:49,618 WE CAN DO BETTER, WE CAN ALSO 416 00:16:49,618 --> 00:16:51,687 INCREASE THE QUALITY OF DATA. 417 00:16:51,687 --> 00:16:54,189 I TALKED WITH JIM ABOUT THIS. 418 00:16:54,189 --> 00:16:56,158 LET ME TELL YOU ONE OF THE 419 00:16:56,158 --> 00:16:57,926 THINGS THAT I'M PLEASED AND I'M 420 00:16:57,926 --> 00:17:00,762 GOING TO TELL YOU THIS IS REALLY 421 00:17:00,762 --> 00:17:01,096 NLM. 422 00:17:01,096 --> 00:17:05,701 THERE'S A RESOURCE AND I KNOW 423 00:17:05,701 --> 00:17:11,306 THERE ARE CHALLENGES WITH 424 00:17:11,306 --> 00:17:15,877 dbGAP, THERE'S A RESOURCE TO 425 00:17:15,877 --> 00:17:17,179 STREAMLINE ACCESS CONTROLLED 426 00:17:17,179 --> 00:17:18,413 ACCESS OF DATA GENOMICS AND 427 00:17:18,413 --> 00:17:18,647 BEYOND. 428 00:17:18,647 --> 00:17:21,917 THIS IS PART OF THE WORK I 429 00:17:21,917 --> 00:17:23,552 STARTED WITH PATTI BRENNAN WHERE 430 00:17:23,552 --> 00:17:27,956 WE WANTED TO THINK HOW CAN WE 431 00:17:27,956 --> 00:17:29,157 FACILITATE EFFECTIVE BOTH IN 432 00:17:29,157 --> 00:17:34,963 COST AND TIME ACCESS TO DATA IN 433 00:17:34,963 --> 00:17:37,699 A WAY ACROSS OUR I.C.s, WAYS 434 00:17:37,699 --> 00:17:39,234 TO INCREASE DATA ACCESS, 435 00:17:39,234 --> 00:17:43,138 DECREASE TIME OF DATA ACCESS TO 436 00:17:43,138 --> 00:17:50,178 REVIEW THESE APPLICATIONS FOR 437 00:17:50,178 --> 00:17:52,447 dbGAP BECAUSE WE AUTOMATED, 438 00:17:52,447 --> 00:17:53,815 REDUCED TIME FROM TWO DAYS TO A 439 00:17:53,815 --> 00:17:54,449 COUPLE HOURS. 440 00:17:54,449 --> 00:17:56,084 AS LONG AS YOU DON'T HAVE A 441 00:17:56,084 --> 00:17:58,487 SPECIAL PAGE THERE ARE NORMAL 442 00:17:58,487 --> 00:18:00,222 RESEARCHERS, COMING IN FOR DATA 443 00:18:00,222 --> 00:18:01,123 THAT'S EASY TO AUTOMATE, WE CAN 444 00:18:01,123 --> 00:18:03,725 GET YOU THAT DATA REALLY QUICK. 445 00:18:03,725 --> 00:18:05,260 FOR ME, THAT'S A HUGE 446 00:18:05,260 --> 00:18:05,794 ACCOMPLISHMENT. 447 00:18:05,794 --> 00:18:10,198 WE ALSO WANT TO INCREASE 448 00:18:10,198 --> 00:18:11,733 FIRST-TIME LOG-IN TO MAKE IT 449 00:18:11,733 --> 00:18:14,569 EASY, AND LOOK AT THINGS LIKE 450 00:18:14,569 --> 00:18:15,337 SEARCH AND DISCOVERY. 451 00:18:15,337 --> 00:18:24,412 YOU DON'T HAVE TO PUT YOUR DATA 452 00:18:24,412 --> 00:18:27,382 IN dbGAP. 453 00:18:27,382 --> 00:18:28,884 ALSO WORKING WITH NLM 454 00:18:28,884 --> 00:18:33,388 REPOSITORY, CDs ARE IMPORTANT. 455 00:18:33,388 --> 00:18:37,759 IT'S A QUESTION, CLINICAL 456 00:18:37,759 --> 00:18:40,028 QUESTION, CONTENT IN A 457 00:18:40,028 --> 00:18:41,596 STANDARDIZED WAY TO FACILITATE 458 00:18:41,596 --> 00:18:41,863 DATA USE. 459 00:18:41,863 --> 00:18:44,766 WE'VE BEEN WORKING WITH NLM TO 460 00:18:44,766 --> 00:18:46,301 AUTOMATE AND IMPROVE USER 461 00:18:46,301 --> 00:18:50,138 EXPERIENCE OF THE CDE 462 00:18:50,138 --> 00:18:51,273 REPOSITORY, AND INCLUDING 463 00:18:51,273 --> 00:18:53,842 INCREASING THE PROCESS OF THE 464 00:18:53,842 --> 00:18:55,510 CDE REPOSITORY, REDUCING MANUAL 465 00:18:55,510 --> 00:18:58,446 TIME NEEDED TO PROCESS CDE 466 00:18:58,446 --> 00:19:02,417 SUBMISSION SO YOU CAN SEE 467 00:19:02,417 --> 00:19:03,819 AUTOMATED, LOOKS AT MAPPING, YOU 468 00:19:03,819 --> 00:19:04,853 HEARD FROM RICHARD MAYBE A 469 00:19:04,853 --> 00:19:08,523 LITTLE BIT ABOUT SOME OF THIS 470 00:19:08,523 --> 00:19:11,159 TOO, SO VERY COOL. 471 00:19:11,159 --> 00:19:12,994 WE'VE ALSO STARTED ORIGINALLY 472 00:19:12,994 --> 00:19:16,631 WITH NLM AND DESIGNED WAYS IN 473 00:19:16,631 --> 00:19:20,001 WHICH WE CAN BE TRAINING ON 474 00:19:20,001 --> 00:19:25,807 RESOURCES AT INSTITUTIONS THAT 475 00:19:25,807 --> 00:19:27,642 ARE NOT FHIR SAVVY, IDeA 476 00:19:27,642 --> 00:19:30,078 STATES, A LOT OF TRAINING 477 00:19:30,078 --> 00:19:31,546 BECAUSE FHIR, WHICH IS AN 478 00:19:31,546 --> 00:19:33,248 EXCHANGE FORMAT FOR HEALTH CARE 479 00:19:33,248 --> 00:19:35,317 I.T., IS SUPER GREAT FOR 480 00:19:35,317 --> 00:19:35,650 RESEARCH. 481 00:19:35,650 --> 00:19:40,455 WE CAN FORMAT THE DATA IN FHIR 482 00:19:40,455 --> 00:19:41,790 AND FACILITATE DISCOVERY 483 00:19:41,790 --> 00:19:42,657 EXCHANGE ACROSS, WE'RE DOING A 484 00:19:42,657 --> 00:19:45,827 LOT OF THAT NOW WITH A NUMBER OF 485 00:19:45,827 --> 00:19:51,733 OUR COLLEAGUES IN THE I.C. SO 486 00:19:51,733 --> 00:19:56,771 DATA PLATFORM, DATA CATALYST, 487 00:19:56,771 --> 00:19:57,205 FRAMEWORK. 488 00:19:57,205 --> 00:19:59,608 I'M GOING TO RUN OVER ON TIME. 489 00:19:59,608 --> 00:20:01,142 THAT BRINGS ME TO FEDERATION. 490 00:20:01,142 --> 00:20:02,577 WE'VE HAD THIS PROJECT GOING IN 491 00:20:02,577 --> 00:20:05,847 THE BACKGROUND FOR A WHILE NOW. 492 00:20:05,847 --> 00:20:14,589 WHICH IS A FEDERATED WAY FOR BIG 493 00:20:14,589 --> 00:20:16,358 DATA PLATFORMS LIKE dbGAP 494 00:20:16,358 --> 00:20:17,125 EXCHANGE INFORMATION EASILY. 495 00:20:17,125 --> 00:20:20,829 IN THE OLD DAYS HAD YOU TO LOG 496 00:20:20,829 --> 00:20:22,030 IN, DO SEPARATE THINGS THERE. 497 00:20:22,030 --> 00:20:25,200 IT WAS HARD FOR YOU TO CRUNCH 498 00:20:25,200 --> 00:20:27,402 THE DATA ACROSS THOSE PLATFORMS. 499 00:20:27,402 --> 00:20:30,538 I THINK IT WAS PRETTY MUCH 500 00:20:30,538 --> 00:20:30,839 IMPOSSIBLE. 501 00:20:30,839 --> 00:20:34,709 NOW WE CREATED THROUGH CIT, 502 00:20:34,709 --> 00:20:36,044 ACCESS MANAGEMENT SYSTEM 503 00:20:36,044 --> 00:20:37,879 RESEARCHERS CAN LOG IN ONCE AND 504 00:20:37,879 --> 00:20:39,514 GET ACCESS ACROSS THE PLATFORMS, 505 00:20:39,514 --> 00:20:42,417 44 OF THEM NOW USE THE SYSTEM. 506 00:20:42,417 --> 00:20:45,987 WE CAN FIND AND DISCOVER DATA 507 00:20:45,987 --> 00:20:48,757 AND PULL DATA INTO ONE PLATFORM, 508 00:20:48,757 --> 00:20:49,758 DO THE ANALYSIS, THAT'S WHAT 509 00:20:49,758 --> 00:20:51,293 THEY HAVE BEEN DOING. 510 00:20:51,293 --> 00:20:54,763 THEY HAVE BEEN -- THIS IS A 511 00:20:54,763 --> 00:20:57,499 GREAT EXAMPLE USING SRA, PULL 512 00:20:57,499 --> 00:21:01,436 DATA FROM SRA, COLD STORAGE TO 513 00:21:01,436 --> 00:21:05,040 HOT STORAGE, WITH POOLS NCPI 514 00:21:05,040 --> 00:21:07,809 CREATED TO CONCERT SRA METADATA 515 00:21:07,809 --> 00:21:10,111 INTO A SEARCH FORMAT THROUGH 516 00:21:10,111 --> 00:21:13,949 TOOLS NCPI HAS DONE AND PULL 517 00:21:13,949 --> 00:21:14,783 LINKS INTO ANY PLATFORM, IT HAS 518 00:21:14,783 --> 00:21:16,551 TO BE DONE IN THE CLOUD NOW, AND 519 00:21:16,551 --> 00:21:20,822 DO THEIR ANALYSIS. 520 00:21:20,822 --> 00:21:22,357 THIS IS WHAT RESEARCHERS IN THE 521 00:21:22,357 --> 00:21:26,194 DISEASE NETWORK HAVE BEEN 522 00:21:26,194 --> 00:21:28,797 WORKING ON AND HIGHLIGHT, THIS 523 00:21:28,797 --> 00:21:39,307 IS COMING UP MAYBE NEXT WEEK. 524 00:21:39,607 --> 00:21:41,843 THEY WANT TO MOVE TO THE CLOUD, 525 00:21:41,843 --> 00:21:44,245 WE'LL WORK WITH CIT TO GET LIFTS 526 00:21:44,245 --> 00:21:44,546 DONE. 527 00:21:44,546 --> 00:21:48,783 SO GLAD WE CAN SUPPORT NLM. 528 00:21:48,783 --> 00:21:53,788 WE'LL TALK ABOUT CLOUD BUCKS, 529 00:21:53,788 --> 00:21:59,461 WE'RE THE INSTITUTE RUNNING FOR 530 00:21:59,461 --> 00:22:03,765 RESEARCHERS TO GET ACCESS TO 531 00:22:03,765 --> 00:22:05,166 LARGE COMPUTES TO DO A.I. AND WE 532 00:22:05,166 --> 00:22:07,035 HAVE A NUMBER OF FOLKS WHO HAVE 533 00:22:07,035 --> 00:22:08,570 BEEN WORKING WITH US ON THAT. 534 00:22:08,570 --> 00:22:10,305 ONE OF THE COOL THINGS IS THAT 535 00:22:10,305 --> 00:22:12,841 THE CLOUD LAB IS PART OF THIS, 536 00:22:12,841 --> 00:22:14,509 THESE ARE ALL THE RESOURCES WE 537 00:22:14,509 --> 00:22:18,013 SUPPORTING FOR THE NATIONAL A.I. 538 00:22:18,013 --> 00:22:19,647 RESEARCH RESOURCE, AN 539 00:22:19,647 --> 00:22:20,648 INTEGRATION AND COLLABORATION 540 00:22:20,648 --> 00:22:22,017 ACROSS FEDERAL AGENCIES TO 541 00:22:22,017 --> 00:22:25,120 PROVIDE RESOURCES IN A.I. FOR 542 00:22:25,120 --> 00:22:26,421 ANY SCIENCE, INCLUDING 543 00:22:26,421 --> 00:22:28,656 BIOMEDICAL SCIENCE. 544 00:22:28,656 --> 00:22:30,258 IF YOU'RE INTERESTED IN 545 00:22:30,258 --> 00:22:32,127 ACCESSING DATA, WE'RE THE GUYS 546 00:22:32,127 --> 00:22:35,196 DOING IT FOR THE GOVERNMENT. 547 00:22:35,196 --> 00:22:36,498 NAIRR AND WE SUPPORT DATA 548 00:22:36,498 --> 00:22:36,931 SCHOLARS. 549 00:22:36,931 --> 00:22:39,567 WE'VE HAD A NUMBER OF THEM. 550 00:22:39,567 --> 00:22:42,937 WE'RE HAPPY TO EMBED EXPERTS IN 551 00:22:42,937 --> 00:22:43,905 COMPUTER SCIENCE, A.I., DATA 552 00:22:43,905 --> 00:22:45,573 SCIENCE IN THE I.C.s. 553 00:22:45,573 --> 00:22:48,109 A NUMBER OF THESE BECOME FEDERAL 554 00:22:48,109 --> 00:22:50,512 EMPLOYEES, SO YOU CAN SEE WE'RE 555 00:22:50,512 --> 00:22:52,380 ENRICHING OUR COMMUNITY OF 556 00:22:52,380 --> 00:22:56,551 SCIENTISTS AT NIH THROUGH THIS 557 00:22:56,551 --> 00:22:59,487 PROGRAM, AND WE HAVE PATHWAYS 558 00:22:59,487 --> 00:23:01,990 FOR YOUNGER PEOPLE WHO ARE 559 00:23:01,990 --> 00:23:02,624 POSTBACS OR MASTER'S GRADUATES 560 00:23:02,624 --> 00:23:07,128 WHO WOULD LIKE TO COME IN, NOT 561 00:23:07,128 --> 00:23:09,531 AT THE Ph.D. LEVEL BUT GOOD AT 562 00:23:09,531 --> 00:23:11,166 INFORMATION SCIENCE, THE ONLY 563 00:23:11,166 --> 00:23:16,771 THING TO NOTE THEY HAVE TO HAVE 564 00:23:16,771 --> 00:23:18,840 A PATHWAY, THEY COME, LEAVE, MAY 565 00:23:18,840 --> 00:23:19,174 STAY. 566 00:23:19,174 --> 00:23:22,777 THESE GUYS ARE EXPECTED TO HAVE 567 00:23:22,777 --> 00:23:23,044 PATHWAY. 568 00:23:23,044 --> 00:23:24,746 THANK YOU SO MUCH. 569 00:23:24,746 --> 00:23:27,048 I APOLOGIZE IF I WENT A LITTLE 570 00:23:27,048 --> 00:23:34,722 FAST, A LITTLE OVER TIME. 571 00:23:34,722 --> 00:23:36,791 NOW SEAN MOONEY. 572 00:23:36,791 --> 00:23:37,659 >> OKAY. 573 00:23:37,659 --> 00:23:40,295 AS WE TRANSITION SLIDES I'LL 574 00:23:40,295 --> 00:23:41,463 INTRODUCE DR. MOONEY, DIRECTOR 575 00:23:41,463 --> 00:23:43,231 OF THE CENTER FOR INFORMATION 576 00:23:43,231 --> 00:23:45,333 TECHNOLOGY AND IS RESPONSIBLE 577 00:23:45,333 --> 00:23:47,202 FOR PROVIDING LEADERSHIP AND 578 00:23:47,202 --> 00:23:49,070 DIRECTION FOR THE ORGANIZATION 579 00:23:49,070 --> 00:23:51,239 INCLUDING OVERSEEING A PORTFOLIO 580 00:23:51,239 --> 00:23:52,774 THAT FACILITATES RESEARCH 581 00:23:52,774 --> 00:23:57,479 INCLUDING A WORLD RENOWNED 582 00:23:57,479 --> 00:23:58,113 SUPERCOMPUTER, STATE-OF-THE-ART 583 00:23:58,113 --> 00:23:58,813 NETWORK, CLOUD-BASED SERVICE, 584 00:23:58,813 --> 00:24:00,982 COLLABORATION TOOLS TO PROMOTE 585 00:24:00,982 --> 00:24:02,851 FLEXIBILITY AND PRODUCTIVITY. 586 00:24:02,851 --> 00:24:04,385 BEFORE JOINING CIT, DR. MOONEY 587 00:24:04,385 --> 00:24:06,254 SERVED AS PROFESSOR OF 588 00:24:06,254 --> 00:24:07,388 BIOMEDICAL INFORMATICS AND 589 00:24:07,388 --> 00:24:10,525 MEDICAL EDUCATION AT UNIVERSITY 590 00:24:10,525 --> 00:24:12,594 OF WASHINGTON SCHOOL OF 591 00:24:12,594 --> 00:24:12,861 MEDICINE. 592 00:24:12,861 --> 00:24:16,397 WELCOME, DR. MOONEY. 593 00:24:16,397 --> 00:24:16,698 >> GREAT. 594 00:24:16,698 --> 00:24:17,298 I THANK YOU. 595 00:24:17,298 --> 00:24:20,802 IT'S REALLY A PLEASURE TO BE 596 00:24:20,802 --> 00:24:21,302 HERE. 597 00:24:21,302 --> 00:24:24,873 I AM SIX MONTHS INTO MY JOB. 598 00:24:24,873 --> 00:24:26,941 I'M NEW TO THE FEDERAL 599 00:24:26,941 --> 00:24:27,242 GOVERNMENT. 600 00:24:27,242 --> 00:24:29,544 I'M GOING TO START. THERE TODAY 601 00:24:29,544 --> 00:24:32,080 WE'RE GOING TO TALK ABOUT I.T. 602 00:24:32,080 --> 00:24:35,049 AND THE WORK THAT WE'RE DOING TO 603 00:24:35,049 --> 00:24:37,685 THINK ABOUT BOTH HOW WE PROVIDE 604 00:24:37,685 --> 00:24:38,620 INFORMATION TECHNOLOGY SERVICES 605 00:24:38,620 --> 00:24:40,622 TO THE NIH AS A WHOLE BUT THEN 606 00:24:40,622 --> 00:24:45,326 ALSO HOY DO -- HOW DO WE THINK 607 00:24:45,326 --> 00:24:48,062 ABOUT THE CONCEPT OF CYBER 608 00:24:48,062 --> 00:24:48,863 INFRASTRUCTURE FOR THE 609 00:24:48,863 --> 00:24:49,531 BIOMEDICAL RESEARCH COMMUNITY AS 610 00:24:49,531 --> 00:24:50,465 A WHOLE. 611 00:24:50,465 --> 00:24:53,401 I THANK SUSAN AND STEVE WHO 612 00:24:53,401 --> 00:24:55,270 WE'LL HEAR FROM IN A SECOND, 613 00:24:55,270 --> 00:24:56,504 HUGE PARTNERS FOR CIT BEFORE I 614 00:24:56,504 --> 00:24:59,440 GOT HERE, CONTINUE TO BE GREAT 615 00:24:59,440 --> 00:25:01,509 PARTNERSHIP FOR THE WORK THAT WE 616 00:25:01,509 --> 00:25:02,610 ARE DOING. 617 00:25:02,610 --> 00:25:04,412 SO, WHAT I'M GOING TO DO TODAY, 618 00:25:04,412 --> 00:25:06,214 I THINK A LOT OF FOLKS DON'T 619 00:25:06,214 --> 00:25:08,316 REALLY KNOW WHAT THE CENTER FOR 620 00:25:08,316 --> 00:25:09,717 INFORMATION TECHNOLOGY IS. 621 00:25:09,717 --> 00:25:11,853 I'M GOING TO TALK AND INTRODUCE 622 00:25:11,853 --> 00:25:15,623 THE CIT AND THE WORK WE DO. 623 00:25:15,623 --> 00:25:18,126 AND THEN I'LL TALK ABOUT OUR, 624 00:25:18,126 --> 00:25:22,764 YOU KNOW, FOCUS ON BUILDING A 625 00:25:22,764 --> 00:25:25,266 COLLABORATIVE NIH FOR 626 00:25:25,266 --> 00:25:26,901 INFORMATION TECHNOLOGY, TO 627 00:25:26,901 --> 00:25:28,870 SUPPORT ALL NEEDS OF THE OTHER 628 00:25:28,870 --> 00:25:31,172 26 I.C.s WITHIN THE NIH, I'LL 629 00:25:31,172 --> 00:25:32,807 TALK ABOUT THE CLOUD, I'LL TALK 630 00:25:32,807 --> 00:25:34,108 ABOUT THE TOOLS FOR CYBER 631 00:25:34,108 --> 00:25:35,443 INFRASTRUCTURE AND OUR STRATEGY, 632 00:25:35,443 --> 00:25:37,879 AND HOW WE WORK WITH NLM TODAY, 633 00:25:37,879 --> 00:25:40,048 AND HOW WE CAN WORK WITH NLM WE 634 00:25:40,048 --> 00:25:41,916 THINK IN THE FUTURE. 635 00:25:41,916 --> 00:25:46,187 OKAY, SO, CIT WAS STARTED IN 636 00:25:46,187 --> 00:25:48,690 1954, BACK WHEN COMPUTERS WERE, 637 00:25:48,690 --> 00:25:52,527 YOU KNOW, VERY, VERY 638 00:25:52,527 --> 00:25:53,061 RUDIMENTARY, GETTING INTO 639 00:25:53,061 --> 00:25:55,663 SCIENCE AND THE WORK WE DO. 640 00:25:55,663 --> 00:25:56,931 TODAY WE'RE ALMOST 1300 PEOPLE 641 00:25:56,931 --> 00:26:00,535 SUPPORTING I.T. ACROSS THE NIH. 642 00:26:00,535 --> 00:26:01,936 AND I'LL TALK ABOUT THE KIND OF 643 00:26:01,936 --> 00:26:03,605 WORK WE'VE DONE THAT WE'VE 644 00:26:03,605 --> 00:26:06,307 EVOLVED INTO DOING THAT TODAY, 645 00:26:06,307 --> 00:26:08,409 BUT EVERYTHING THAT YOU MIGHT 646 00:26:08,409 --> 00:26:09,911 IMAGINE THAT YOU COULD THINK 647 00:26:09,911 --> 00:26:11,546 ABOUT WHAT THE NIH MIGHT NEED TO 648 00:26:11,546 --> 00:26:14,182 DO AND THINK ABOUT WE PROBABLY 649 00:26:14,182 --> 00:26:16,050 HAVE SOME TOUCH POINTS INTO IT 650 00:26:16,050 --> 00:26:16,784 INCLUDING CLOUD TECHNOLOGIES, 651 00:26:16,784 --> 00:26:18,586 I'LL TALK MORE ABOUT THAT IN A 652 00:26:18,586 --> 00:26:19,654 SECOND, HIGH PERFORMANCE 653 00:26:19,654 --> 00:26:21,422 COMPUTING FOR THE INTRAMURAL 654 00:26:21,422 --> 00:26:23,391 RESEARCH PROGRAM, BOTH BUSINESS 655 00:26:23,391 --> 00:26:24,425 AND RESEARCH APPLICATIONS TO 656 00:26:24,425 --> 00:26:26,995 SUPPORT THE FUNCTIONS OF THE NIH 657 00:26:26,995 --> 00:26:29,731 BUT ALSO SUPPORT LIKE FOR 658 00:26:29,731 --> 00:26:31,065 EXAMPLE CLINICAL RESEARCH, 659 00:26:31,065 --> 00:26:33,468 RESEARCH COMPUTING MORE IN 660 00:26:33,468 --> 00:26:35,870 GENERAL, AS A SERVICE FROM RACK 661 00:26:35,870 --> 00:26:38,706 SPACES AT SERVERS TO 662 00:26:38,706 --> 00:26:39,574 INFORMATICS. 663 00:26:39,574 --> 00:26:42,210 IDENTITY AND ACCESS MANAGEMENT, 664 00:26:42,210 --> 00:26:44,946 WE MANAGE YOUR COMMONS I.D.s, 665 00:26:44,946 --> 00:26:46,481 WE MANAGE ACCESS FOR EMPLOYEES 666 00:26:46,481 --> 00:26:48,216 OF THE NIH. 667 00:26:48,216 --> 00:26:50,084 WE MANAGE THE NIH NETWORK. 668 00:26:50,084 --> 00:26:51,519 I'LL TALK MORE ABOUT CYBER 669 00:26:51,519 --> 00:26:55,123 INFRASTRUCTURE AND DEFINE THAT. 670 00:26:55,123 --> 00:26:56,858 WE MANAGE COLLABORATION TOOLS 671 00:26:56,858 --> 00:26:59,260 AND SUPPORT CYBERSECURITY FOR 672 00:26:59,260 --> 00:27:00,261 THE NIH. 673 00:27:00,261 --> 00:27:02,430 WHEN I GOT HERE THERE WAS IN 674 00:27:02,430 --> 00:27:03,965 FACT A STRATEGY AND PLAN, THINGS 675 00:27:03,965 --> 00:27:07,268 WE COULD WORK OFF OF, PATTI 676 00:27:07,268 --> 00:27:10,171 BRENNAN AND MY PREDECESSOR 677 00:27:10,171 --> 00:27:10,972 ANDREA NORRIS WORKED ON A 678 00:27:10,972 --> 00:27:12,173 STRATEGIC PLAN PLAN FOR THE 679 00:27:12,173 --> 00:27:12,940 DIGITAL NIH. 680 00:27:12,940 --> 00:27:14,142 THAT PLAN WAS PUBLISHED. 681 00:27:14,142 --> 00:27:17,312 YOU CAN GOOGLE IT AND READ IT. 682 00:27:17,312 --> 00:27:19,080 IT'S ONLINE. 683 00:27:19,080 --> 00:27:22,350 AND THEY DEFINED KIND OF FOUR 684 00:27:22,350 --> 00:27:24,786 AREAS FOR, YOU KNOW, FOR THIS 685 00:27:24,786 --> 00:27:25,420 STRATEGIC PLAN. 686 00:27:25,420 --> 00:27:26,854 MANAGEMENT OF THE EXTRAMURAL 687 00:27:26,854 --> 00:27:30,024 PROGRAM THAT YOU MIGHT EXPECT, 688 00:27:30,024 --> 00:27:31,426 INTRAMURAL CLINICAL RESEARCH 689 00:27:31,426 --> 00:27:33,728 PROGRAM, THE INTRAMURAL BASIC 690 00:27:33,728 --> 00:27:34,696 RESEARCH PROGRAM, AND 691 00:27:34,696 --> 00:27:36,364 ADMINISTRATION AND MANAGEMENT OF 692 00:27:36,364 --> 00:27:37,432 THE NIH. 693 00:27:37,432 --> 00:27:39,967 THROUGH THAT THEY MADE FIVE -- A 694 00:27:39,967 --> 00:27:41,002 SET OF FIVE RECOMMENDATIONS, 695 00:27:41,002 --> 00:27:42,704 EXACTLY WHAT YOU MIGHT EXPECT. 696 00:27:42,704 --> 00:27:46,407 YOU KNOW, INNOVATION AND 697 00:27:46,407 --> 00:27:47,642 INFRASTRUCTURE, A COMMON 698 00:27:47,642 --> 00:27:48,710 ARCHITECTURE, THINGS WE TALK 699 00:27:48,710 --> 00:27:52,980 ABOUT WITH THE NLM COMMUNITY. 700 00:27:52,980 --> 00:27:54,716 DIGITAL COMPETENT WORKFORCE. 701 00:27:54,716 --> 00:27:57,251 TECHNOLOGY TO SUPPORT ANYWHERE 702 00:27:57,251 --> 00:27:58,986 POST-PANDEMIC, SO ZOOM CALLS, 703 00:27:58,986 --> 00:28:01,489 LOTS OF TEAMS MEETINGS, AND THEN 704 00:28:01,489 --> 00:28:02,590 OF COURSE CYBERSECURITY, WHICH 705 00:28:02,590 --> 00:28:05,893 IS OF COURSE VERY, VERY 706 00:28:05,893 --> 00:28:08,162 IMPORTANT. 707 00:28:08,162 --> 00:28:12,667 I.T. IS NOT IN THE NIH'S CORE 708 00:28:12,667 --> 00:28:14,435 MISSION WHICH IS INTERESTING IN 709 00:28:14,435 --> 00:28:18,039 THAT WE'RE THE ONLY I.C., CIT, 710 00:28:18,039 --> 00:28:21,876 THAT DOESN'T HAVE A FACA 711 00:28:21,876 --> 00:28:22,977 COMMITTEE LIKE THIS COMMITTEE 712 00:28:22,977 --> 00:28:24,278 THAT'S HERE. 713 00:28:24,278 --> 00:28:24,946 EXTERNAL ADVISORY COMMITTEE 714 00:28:24,946 --> 00:28:29,450 WHICH I THINK IS ABSOLUTELY MIND 715 00:28:29,450 --> 00:28:30,218 BOGGLING BECAUSE WE'RE DOING 716 00:28:30,218 --> 00:28:32,620 STUFF NOT IN THE NIH MISSION, 717 00:28:32,620 --> 00:28:34,489 AND WE'RE ONE PLACE WE SHOULD 718 00:28:34,489 --> 00:28:35,890 GET OUTSIDE ADVISORS. 719 00:28:35,890 --> 00:28:37,425 WE STARTED AS PART OF THE PATH 720 00:28:37,425 --> 00:28:39,727 TO GET THERE, WE STARTED A 721 00:28:39,727 --> 00:28:41,362 WORKING GROUP FOR THE ADVISORY 722 00:28:41,362 --> 00:28:45,199 COUNCIL TO THE DIRECTOR THAT IS 723 00:28:45,199 --> 00:28:46,968 NOW TASKED, WE'VE GOT INVITES 724 00:28:46,968 --> 00:28:48,169 AND ACCEPTANCES OUT, AND WE'RE 725 00:28:48,169 --> 00:28:49,137 GOING TO START MEETING. 726 00:28:49,137 --> 00:28:52,840 THIS IS A LONGER TERM PLAN TO 727 00:28:52,840 --> 00:28:53,975 CREATE A COUNCIL FOR I.T. AND 728 00:28:53,975 --> 00:28:56,277 CYBER INFRASTRUCTURE TO GIVE US 729 00:28:56,277 --> 00:29:00,081 ADVICE, JUST LIKE YOU ARE GIVING 730 00:29:00,081 --> 00:29:02,283 ADVICE TO THE NLM TO THINK ABOUT 731 00:29:02,283 --> 00:29:03,818 WHAT OUR OPERATIONAL STRATEGY IS 732 00:29:03,818 --> 00:29:06,654 FOR I.T. AND SUPPORT US. 733 00:29:06,654 --> 00:29:08,089 LET ME TALK VERY BRIEFLY ABOUT 734 00:29:08,089 --> 00:29:09,557 KINDS OF THINGS WE DO. 735 00:29:09,557 --> 00:29:10,658 I'LL MOVE QUICKLY BECAUSE I WANT 736 00:29:10,658 --> 00:29:13,428 TO MAKE SURE I GET THROUGH 737 00:29:13,428 --> 00:29:13,728 EVERYTHING. 738 00:29:13,728 --> 00:29:17,465 WE RUN THE NIH NETWORK. 739 00:29:17,465 --> 00:29:20,935 45,000 STAFF, 700,000 VISITORS 740 00:29:20,935 --> 00:29:24,672 ACROSS 200 NIH BUILDINGS. 741 00:29:24,672 --> 00:29:25,973 4300 MILES OF 100-GIGABIT 742 00:29:25,973 --> 00:29:26,774 NETWORK THAT INCLUDES NETWORK 743 00:29:26,774 --> 00:29:29,277 OUT OF STATE TO NORTH CAROLINA, 744 00:29:29,277 --> 00:29:32,680 TO MONTANA, TO ARIZONA, THIS 745 00:29:32,680 --> 00:29:33,314 NETWORK IS LEVERAGED BY HEALTH 746 00:29:33,314 --> 00:29:35,082 AND HUMAN SERVICES MORE BROADLY, 747 00:29:35,082 --> 00:29:38,152 AND I'LL JUST SAY THAT AS I'VE 748 00:29:38,152 --> 00:29:40,121 GOTTEN HERE AND LEARNED, REALLY 749 00:29:40,121 --> 00:29:41,689 THIS IS A NATIONAL STRATEGIC 750 00:29:41,689 --> 00:29:43,491 NETWORK, IN TERMS OF THE KIND OF 751 00:29:43,491 --> 00:29:47,862 THINGS THAT GO ACROSS, TO 752 00:29:47,862 --> 00:29:48,629 SUPPORT HHS'S MISSION AND OF 753 00:29:48,629 --> 00:29:50,765 COURSE THE MISSION OF THE NIH. 754 00:29:50,765 --> 00:29:52,600 WITHIN THAT, THE KIND OF 755 00:29:52,600 --> 00:29:55,670 HARDWARE IS MIND BOGGLING. 756 00:29:55,670 --> 00:29:57,872 WE HAVE THE WIRED NETWORK, 757 00:29:57,872 --> 00:29:59,507 ALMOST 10,000 OF WIRELESS ACCESS 758 00:29:59,507 --> 00:30:01,876 POINTS LIKE THE ONES YOU SEE IN 759 00:30:01,876 --> 00:30:03,711 THE BUILDINGS AROUND US. 760 00:30:03,711 --> 00:30:05,279 WE EVEN MANAGE A CELLULAR 761 00:30:05,279 --> 00:30:05,513 NETWORK. 762 00:30:05,513 --> 00:30:07,515 AND ONE OF THE THINGS THAT I 763 00:30:07,515 --> 00:30:09,016 WANT FOLKS TO THINK ABOUT, AND 764 00:30:09,016 --> 00:30:11,219 YOU SEE THIS IN YOUR OWN ROLES, 765 00:30:11,219 --> 00:30:13,721 OVER THE YEARS I.T. COSTS HAVE 766 00:30:13,721 --> 00:30:15,022 GONE LIKE THIS. 767 00:30:15,022 --> 00:30:16,224 WE'VE SEEN WIRED NETWORKS 768 00:30:16,224 --> 00:30:19,293 APPEAR, NOW WE SEE WIRELESS 769 00:30:19,293 --> 00:30:20,161 NETWORKS BUT WIRED NETWORKS 770 00:30:20,161 --> 00:30:22,463 HAVEN'T GONE AWAY. 771 00:30:22,463 --> 00:30:26,000 WE'RE SEEING CELLULAR NETWORKS, 772 00:30:26,000 --> 00:30:27,435 WIRELESS, THE WI-FI HASN'T GONE 773 00:30:27,435 --> 00:30:27,735 AWAY. 774 00:30:27,735 --> 00:30:31,572 COSTS WITH GOING UP IN I.T. 775 00:30:31,572 --> 00:30:33,341 GOING UP IN DATA, AND NOW WE 776 00:30:33,341 --> 00:30:36,377 HAVE A.I., COSTS ARE GOING UP IN 777 00:30:36,377 --> 00:30:36,544 A.I. 778 00:30:36,544 --> 00:30:37,645 ALL THESE ACCUMULATED, WE'RE NOT 779 00:30:37,645 --> 00:30:39,213 REMOVING THINGS FROM THE PAST. 780 00:30:39,213 --> 00:30:40,915 IT'S A REAL CHALLENGE FOR THE 781 00:30:40,915 --> 00:30:41,849 BIOMEDICAL RESEARCH COMMUNITY AS 782 00:30:41,849 --> 00:30:45,686 A WHOLE, HUGE CHALLENGE FOR I.T. 783 00:30:45,686 --> 00:30:46,687 WE MANAGE ALL THE COLLABORATION 784 00:30:46,687 --> 00:30:50,591 TOOLS THAT ARE OUT THERE. 785 00:30:50,591 --> 00:30:53,361 WE'VE INITIATED 2.5 MILLION 786 00:30:53,361 --> 00:30:54,829 ZOOM, WEBEX, AND TEAMS MEETINGS 787 00:30:54,829 --> 00:30:57,298 LAST YEAR UNDER OUR LICENSES 788 00:30:57,298 --> 00:30:58,599 THAT WE SUPPORT. 789 00:30:58,599 --> 00:31:00,568 AND ALL OF THE THINGS THAT -- 790 00:31:00,568 --> 00:31:02,103 ALL THE COLLABORATIONS AND 791 00:31:02,103 --> 00:31:04,505 WEBINARS AND THINGS YOU DO, A 792 00:31:04,505 --> 00:31:07,441 LOT ARE RUN BY CIT, NOT ALL, A 793 00:31:07,441 --> 00:31:10,411 LOT OF ICs HAVE THEIR OWN 794 00:31:10,411 --> 00:31:12,046 NETWORKS. 795 00:31:12,046 --> 00:31:16,217 WE RUN A SUPERCOMPUTER, BIOWULF. 796 00:31:16,217 --> 00:31:19,620 IN 2004 I WAS DOING RESEARCH, 797 00:31:19,620 --> 00:31:28,162 AND BACK THEN IBM BLUEJEAN WAS 798 00:31:28,162 --> 00:31:28,429 FASTESSED. 799 00:31:28,429 --> 00:31:29,363 TODAY TODAY KIDS' GAME SYSTEMS 800 00:31:29,363 --> 00:31:31,098 HAVE THE SAME AMOUNT OF 801 00:31:31,098 --> 00:31:35,036 CALCULATIONS IT CAN DO AS THE 802 00:31:35,036 --> 00:31:45,179 $2,004, 803 00:31:46,080 --> 00:31:47,014 2000 $100 MILLION SUPERCOMPUTER. 804 00:31:47,014 --> 00:31:50,918 WE DID A LOT OF RESEARCH IN THE 805 00:31:50,918 --> 00:31:52,086 INTRAMURAL PROGRAM, OUR 806 00:31:52,086 --> 00:31:53,220 SUPERCOMPUTER IS 105,000 CORES, 807 00:31:53,220 --> 00:31:57,158 AT ONE POINT IN THE TOP 50 808 00:31:57,158 --> 00:31:59,327 AGING, NEED TO REFRESH IT, IT'S 809 00:31:59,327 --> 00:32:01,095 JUST IN THE BUILDING THAT'S 810 00:32:01,095 --> 00:32:02,163 RIGHT OVER HERE. 811 00:32:02,163 --> 00:32:07,535 AND IT HAS ABOUT A THOUSAND 812 00:32:07,535 --> 00:32:07,768 GPUs. 813 00:32:07,768 --> 00:32:11,272 GPUs ARE KEY, I READ IN THE 814 00:32:11,272 --> 00:32:15,109 NEWS TESLA HAS BUILT A $3 815 00:32:15,109 --> 00:32:16,377 BILLION SUPERCOMPUTER IN TEXAS 816 00:32:16,377 --> 00:32:19,780 TO SUPPORT THEIR A.I. 817 00:32:19,780 --> 00:32:21,082 ACTIVITIES. 818 00:32:21,082 --> 00:32:25,419 IT'S ALL GPUs, YOU CAN IMAGINE 819 00:32:25,419 --> 00:32:26,587 JUST EXACTLY HOW MUCH CAPABILITY 820 00:32:26,587 --> 00:32:29,557 IS NEEDED TO MEET THAT A.I. 821 00:32:29,557 --> 00:32:30,958 WORLD, AND WE'RE DEFINITELY 822 00:32:30,958 --> 00:32:35,229 PAYING ATTENTION TO IT. 823 00:32:35,229 --> 00:32:36,097 NOT SURPRISINGLY, BIOWULF IS 824 00:32:36,097 --> 00:32:38,065 SATURATED TODAY IN TERMS OF USE, 825 00:32:38,065 --> 00:32:41,035 RUNNING RIGHT NOW ABOUT 100%, 826 00:32:41,035 --> 00:32:43,971 AND WE ARE AVERAGING AT THIS 827 00:32:43,971 --> 00:32:46,941 POINT NOW ABOUT 600 PAPERS 828 00:32:46,941 --> 00:32:48,409 PUBLISHED USING BIOWULF'S 829 00:32:48,409 --> 00:32:49,176 INFRASTRUCTURE TODAY. 830 00:32:49,176 --> 00:32:50,011 ALL RIGHT. 831 00:32:50,011 --> 00:32:51,312 LET'S TALK ABOUT CYBER 832 00:32:51,312 --> 00:32:51,879 INFRASTRUCTURE. 833 00:32:51,879 --> 00:32:52,413 I LIKE THAT TERM. 834 00:32:52,413 --> 00:32:53,280 I DON'T KNOW IF EVERYBODY LIKES 835 00:32:53,280 --> 00:32:55,282 THAT TERM BUT I LIKE IT. 836 00:32:55,282 --> 00:32:57,218 IT CAME FROM THE NATIONAL 837 00:32:57,218 --> 00:32:58,219 SCIENCE FOUNDATION ABOUT 20 838 00:32:58,219 --> 00:33:01,622 YEARS AGO, REALLY TALKS ABOUT 839 00:33:01,622 --> 00:33:03,891 THAT COLLABORATIVE NETWORK AS 840 00:33:03,891 --> 00:33:05,426 DATA AND COMPUTER INFRASTRUCTURE 841 00:33:05,426 --> 00:33:07,928 OF ALL THOSE THINGS THAT ENABLE 842 00:33:07,928 --> 00:33:09,263 BIOMEDICINE AND BIOMEDICAL 843 00:33:09,263 --> 00:33:09,530 RESEARCH. 844 00:33:09,530 --> 00:33:13,434 AND THAT'S THE WAY I LIKE TO 845 00:33:13,434 --> 00:33:14,402 THINK ABOUT THINGS. 846 00:33:14,402 --> 00:33:16,937 AT THE NIH, CYBER INFRASTRUCTURE 847 00:33:16,937 --> 00:33:20,307 IS A PARTNERSHIP BETWEEN ODSS 848 00:33:20,307 --> 00:33:21,976 AND SUSAN, THE NATIONAL LIBRARY 849 00:33:21,976 --> 00:33:23,511 OF MEDICINE HERE, CIT, THE 850 00:33:23,511 --> 00:33:25,246 OFFICE OF THE CIO, AND THEN ALL 851 00:33:25,246 --> 00:33:28,382 OF THE I.C.s WITHIN THE NIH 852 00:33:28,382 --> 00:33:32,053 HAVE THEIR OWN I.T. SHOPS DOING 853 00:33:32,053 --> 00:33:34,355 INFORMATICS AND DELIVERING THE 854 00:33:34,355 --> 00:33:38,592 MISSION THEY HAVE TO DELIVER. 855 00:33:38,592 --> 00:33:40,327 JUST LIKE A UNIVERSITY, WE'RE 856 00:33:40,327 --> 00:33:41,796 PRETTY SILOED, I THINK. 857 00:33:41,796 --> 00:33:43,831 I THINK THAT'S A GOOD WAY TO 858 00:33:43,831 --> 00:33:44,398 CHARACTERIZE IT. 859 00:33:44,398 --> 00:33:46,167 I COME FROM THE UNIVERSITY OF 860 00:33:46,167 --> 00:33:47,668 WASHINGTON, SIX MONTHS AGO I WAS 861 00:33:47,668 --> 00:33:49,970 IN A SCHOOL OF MEDICINE AT A 862 00:33:49,970 --> 00:33:51,405 HEALTHCARE SYSTEM THAT SAW A 863 00:33:51,405 --> 00:33:54,675 MILLION PATIENTS A YEAR, VERY 864 00:33:54,675 --> 00:33:54,909 SIMILAR. 865 00:33:54,909 --> 00:33:56,644 32 OR 31 ACADEMIC DEPARTMENTS 866 00:33:56,644 --> 00:33:59,380 ALL DOING THEIR OWN THING WITH 867 00:33:59,380 --> 00:34:00,581 THE HEALTH SYSTEM THAT SOME 868 00:34:00,581 --> 00:34:02,683 PARTS WERE ALSO DOING ITS OWN 869 00:34:02,683 --> 00:34:05,720 THING, SOME WERE MORE 870 00:34:05,720 --> 00:34:06,687 CENTRALIZED OR INTEGRATED. 871 00:34:06,687 --> 00:34:08,656 LET'S TALK ABOUT THE CLOUD. 872 00:34:08,656 --> 00:34:10,324 YOU HEARD ABOUT THE STRIDES 873 00:34:10,324 --> 00:34:13,427 PROGRAM BRIEFLY FROM SUSAN, WE 874 00:34:13,427 --> 00:34:15,129 HAVE A PARTNERSHIP WITH THE 875 00:34:15,129 --> 00:34:17,865 THREE KEY CLOUD VENDORS, AMAZON, 876 00:34:17,865 --> 00:34:19,533 GOOGLE, MICROSOFT. 877 00:34:19,533 --> 00:34:21,535 AND HAVE AN AGREEMENT WITH THOSE 878 00:34:21,535 --> 00:34:24,905 CLOUD VENDORS TO PROVIDE CLOUD 879 00:34:24,905 --> 00:34:26,974 RESOURCES AT A DISCOUNT, AND 880 00:34:26,974 --> 00:34:28,075 STRIDES IS WIDELY USED 881 00:34:28,075 --> 00:34:30,044 INTERNALLY AT THE NIH, BUT ALSO 882 00:34:30,044 --> 00:34:31,712 IN THE EXTRAMURAL WORLD, MAYBE 883 00:34:31,712 --> 00:34:34,348 SOME OF YOU HAVE USED STRIDES 884 00:34:34,348 --> 00:34:35,783 BEFORE, I THINK WHEN I WAS AT 885 00:34:35,783 --> 00:34:36,817 THE UNIVERSITY OF WASHINGTON WE 886 00:34:36,817 --> 00:34:38,853 MADE HEAVY USE OF THE STRIDES 887 00:34:38,853 --> 00:34:39,186 PROGRAM. 888 00:34:39,186 --> 00:34:41,455 AND I THINK ONE OF THE THINGS I 889 00:34:41,455 --> 00:34:43,657 WANT TO IMPRESS UPON THIS GROUP 890 00:34:43,657 --> 00:34:45,860 IS THAT STRIDES IS NOT JUST A 891 00:34:45,860 --> 00:34:46,293 DISCOUNT. 892 00:34:46,293 --> 00:34:48,763 I THINK IT'S A COMMON PLATFORM 893 00:34:48,763 --> 00:34:51,665 THAT ENABLES US TO BUILD OFF OF 894 00:34:51,665 --> 00:34:53,634 THE CLOUD, COLLABORATIVELY. 895 00:34:53,634 --> 00:34:57,772 I'LL GIVE EXAMPLES OF HOW WE'RE 896 00:34:57,772 --> 00:34:58,239 DOING THAT. 897 00:34:58,239 --> 00:35:01,175 TODAY THERE ARE 334 MILLION 898 00:35:01,175 --> 00:35:04,612 GIGABYTES IN THE STRIDES 899 00:35:04,612 --> 00:35:07,414 PROGRAM, SERVING ABOUT 2500 900 00:35:07,414 --> 00:35:08,582 RESEARCH GROUPS, RESEARCH 901 00:35:08,582 --> 00:35:09,517 PROGRAMS, MANAGING EVERY SINGLE 902 00:35:09,517 --> 00:35:12,787 KIND OF DATA THAT YOU COULD 903 00:35:12,787 --> 00:35:13,721 POSSIBLY IMAGINE. 904 00:35:13,721 --> 00:35:15,956 MOST OF THE I.C.s TAKE 905 00:35:15,956 --> 00:35:17,491 ADVANTAGE OF STRIDES INCLUDING 906 00:35:17,491 --> 00:35:20,194 NLM, PART OF THE OUR 907 00:35:20,194 --> 00:35:20,828 COLLABORATION WITH THE NATIONAL 908 00:35:20,828 --> 00:35:24,165 LIBRARY OF MEDICINE AND MANY 909 00:35:24,165 --> 00:35:25,266 RESEARCH FUNDED PROGRAMS ENABLE 910 00:35:25,266 --> 00:35:25,466 THIS. 911 00:35:25,466 --> 00:35:28,869 STRIDES IS LED OUT OF ODSS, 912 00:35:28,869 --> 00:35:32,273 MANAGED BY CIT, SO A GREAT 913 00:35:32,273 --> 00:35:34,909 EXAMPLE OF HOW LEADERSHIP OUT OF 914 00:35:34,909 --> 00:35:37,611 SUSAN'S TEAM AND THE OPERATIONAL 915 00:35:37,611 --> 00:35:39,280 WORK THAT CIT DOES CAN 916 00:35:39,280 --> 00:35:43,017 COLLABORATE AND BUILD HOPEFULLY 917 00:35:43,017 --> 00:35:44,318 A MORE COLLABORATIVE BIOMEDICAL 918 00:35:44,318 --> 00:35:45,152 RESEARCH INFRASTRUCTURE. 919 00:35:45,152 --> 00:35:47,154 ONE EXAMPLE OF SOMETHING YOU MAY 920 00:35:47,154 --> 00:35:48,455 HAVE SEEN WE'VE ANNOUNCED 921 00:35:48,455 --> 00:35:50,024 RECENTLY ALSO A GOOD 922 00:35:50,024 --> 00:35:51,425 COLLABORATION WITH ODSS AND LED 923 00:35:51,425 --> 00:35:54,161 OUT OF SUSAN'S TEAM IS NIH CLOUD 924 00:35:54,161 --> 00:35:54,361 LAB. 925 00:35:54,361 --> 00:35:56,430 THIS IS ANYBODY THAT'S 926 00:35:56,430 --> 00:35:58,632 ASSOCIATED WITH NIH OR 927 00:35:58,632 --> 00:36:03,137 AFFILIATED WITH NIH RESEARCH 928 00:36:03,137 --> 00:36:04,605 PROGRAMS COULD BE, WITHIN THE 929 00:36:04,605 --> 00:36:06,373 EXTRAMURAL WORLD, CAN MAKE A CAN 930 00:36:06,373 --> 00:36:08,275 AND GET $500 OF CREDITS TO 931 00:36:08,275 --> 00:36:10,110 ACCESS TO THE CLOUDS, ONCE THEY 932 00:36:10,110 --> 00:36:11,312 GET THOSE $500 OF CREDITS AND 933 00:36:11,312 --> 00:36:16,917 GET IN THEY CAN GET ACCESS TO 934 00:36:16,917 --> 00:36:17,618 TRAININGS, OTHER THINGS 935 00:36:17,618 --> 00:36:19,320 COLLABORATIVELY DEVELOPED BY A 936 00:36:19,320 --> 00:36:21,488 NUMBER OF IDeA STATES 937 00:36:21,488 --> 00:36:24,124 INSTITUTION, FUNDED BY IDSS, 938 00:36:24,124 --> 00:36:25,226 THAT WORK TOGETHER TO BUILD 939 00:36:25,226 --> 00:36:27,094 TRAININGS HOW TO USE THE CLOUD. 940 00:36:27,094 --> 00:36:28,829 IF YOU HAVE INVESTIGATORS 941 00:36:28,829 --> 00:36:29,930 INTERESTED IN GETTING ACCESS TO 942 00:36:29,930 --> 00:36:33,167 THE CLOUD, UNDERSTANDING HOW THE 943 00:36:33,167 --> 00:36:34,935 CLOUD WORKS, WORKING, THEY CAN 944 00:36:34,935 --> 00:36:38,472 GET FREE ACCESS UP TO $500 BUT 945 00:36:38,472 --> 00:36:39,974 WILL ALSO GET BIOMEDICAL 946 00:36:39,974 --> 00:36:40,741 RESEARCH COMMUNITY DEVELOPED 947 00:36:40,741 --> 00:36:43,410 TRAININGS HOW TO USE IT IN 948 00:36:43,410 --> 00:36:44,245 DIFFERENT AREAS LIKE SEQUENCE 949 00:36:44,245 --> 00:36:45,679 ANALYSIS, THAT SORT OF THING. 950 00:36:45,679 --> 00:36:49,083 I WANT TO STRESS THAT WE BUILT A 951 00:36:49,083 --> 00:36:51,051 COMPUTATIONAL PLATFORM THAT 952 00:36:51,051 --> 00:36:53,020 GIVES YOU A DISCOUNT AT ACCESS 953 00:36:53,020 --> 00:36:54,555 BUT IS LEVERAGED TO BUILD UPON 954 00:36:54,555 --> 00:36:56,090 IT AS A PLATFORM TO DO THINGS 955 00:36:56,090 --> 00:36:59,393 COLLABORATIVELY THAT ARE OF 956 00:36:59,393 --> 00:37:00,127 INTEREST. 957 00:37:00,127 --> 00:37:00,327 OKAY. 958 00:37:00,327 --> 00:37:04,832 LET ME TALK ABOUT SOME TOOLS FOR 959 00:37:04,832 --> 00:37:07,701 MANAGING CLINICAL RESEARCH DATA. 960 00:37:07,701 --> 00:37:10,004 AND THE KIND OF DIGITAL 961 00:37:10,004 --> 00:37:11,305 ECOSYSTEM OF CYBER 962 00:37:11,305 --> 00:37:11,805 INFRASTRUCTURE. 963 00:37:11,805 --> 00:37:18,312 I THINK ABOUT THIS LIKE LEGO 964 00:37:18,312 --> 00:37:19,179 BLOCKS, PLASTIC INTEROPERABLE 965 00:37:19,179 --> 00:37:20,114 BLOCKS, REUSABLE, INTEROPERABLE, 966 00:37:20,114 --> 00:37:23,083 YOU INVESTIGATORS CAN BUILD THEM 967 00:37:23,083 --> 00:37:24,618 IN THE WAY THAT THEIR NEEDS, 968 00:37:24,618 --> 00:37:26,053 WHAT THEY WANT TO ACCOMPLISH. 969 00:37:26,053 --> 00:37:32,726 SO I LIKE TO THING ABOUT CYBER 970 00:37:32,726 --> 00:37:34,361 INFRASTRUCTURE LIKE 971 00:37:34,361 --> 00:37:36,330 INTEROPERABLE BLOCKS, WE PROVIDE 972 00:37:36,330 --> 00:37:39,266 TOOLS HOPEFUL THEY WILL BE 973 00:37:39,266 --> 00:37:40,034 INTEROPERABLE THAT THAT WAY AND 974 00:37:40,034 --> 00:37:43,337 SUPPORT ANYTHING YOU COULD 975 00:37:43,337 --> 00:37:44,538 IMAGINE, BIOINFORMATICS 976 00:37:44,538 --> 00:37:45,606 WORKFLOWS, COMPONENTS OF 977 00:37:45,606 --> 00:37:50,311 CLOUD-BASED PLATFORMS, COULD BE 978 00:37:50,311 --> 00:37:51,011 SPECIALIZED COMPUTING LIKE 979 00:37:51,011 --> 00:37:52,513 GPUs, OR A.I. TOOLS, ANYTHING 980 00:37:52,513 --> 00:37:54,815 YOU COULD IMAGINE A BIOMEDICAL 981 00:37:54,815 --> 00:37:56,016 RESEARCHER MIGHT PUT TOGETHER. 982 00:37:56,016 --> 00:38:02,356 ONE OF THOSE EXAMPLES IS THE 983 00:38:02,356 --> 00:38:05,259 RESEARCHER EDUCATION SERVICE, 984 00:38:05,259 --> 00:38:06,860 REF, A GREAT COLLABORATION 985 00:38:06,860 --> 00:38:09,163 WHETHER WE'RE SOLVING COMMON 986 00:38:09,163 --> 00:38:12,099 PROBLEM OF GETTING 987 00:38:12,099 --> 00:38:13,634 AUTHENTICATION INTO SYSTEMS, 988 00:38:13,634 --> 00:38:17,338 INTO THE CLOUD, LEVERAGING THE 989 00:38:17,338 --> 00:38:18,973 STRIDES PROGRAM, AUTHORIZATION 990 00:38:18,973 --> 00:38:25,646 ACROSS DIFFERENT PLATFORMS 991 00:38:25,646 --> 00:38:30,784 MANAGING CONTROLLED ACCESS 992 00:38:30,784 --> 00:38:32,319 DATA THAT LEVERAGES dbGAP AND 993 00:38:32,319 --> 00:38:33,754 WORK CIT IS DOING, ET CETERA. 994 00:38:33,754 --> 00:38:34,955 SOMETHING WE'RE VERY INTERESTED 995 00:38:34,955 --> 00:38:37,491 IN IS THE CONCEPT OF A 996 00:38:37,491 --> 00:38:38,792 COMPUTATIONAL WORKSPACE. 997 00:38:38,792 --> 00:38:42,830 THAT IS, WE'VE SEEN A NUMBER OF 998 00:38:42,830 --> 00:38:43,931 DIFFERENT PLATFORMS THAT ARE 999 00:38:43,931 --> 00:38:45,466 CLOUD BASED THAT MANAGE DATA. 1000 00:38:45,466 --> 00:38:47,534 BEFORE I CAME HERE, I WAS 1001 00:38:47,534 --> 00:38:50,270 CONSULTING FOR A NON-PROFIT THAT 1002 00:38:50,270 --> 00:38:53,307 WAS REFRESHING THEIR CLINICAL 1003 00:38:53,307 --> 00:38:53,974 RESEARCH PLATFORM, INCLUDING 1004 00:38:53,974 --> 00:38:55,609 PATIENT DATA, GENETIC DATA, 1005 00:38:55,609 --> 00:38:56,710 IMAGING PATHOLOGY DATA, ALL THE 1006 00:38:56,710 --> 00:38:58,145 THINGS YOU MIGHT EXPECT. 1007 00:38:58,145 --> 00:39:00,114 THEY WERE REFRESHING THEIR CLOUD 1008 00:39:00,114 --> 00:39:01,982 PLATFORM, PUT AN RFP UP TO GET 1009 00:39:01,982 --> 00:39:04,918 VENDORS TO COME IN AND DO THAT 1010 00:39:04,918 --> 00:39:05,152 REFRESH. 1011 00:39:05,152 --> 00:39:07,121 AND THEY GOT A LOT OF PROPOSALS. 1012 00:39:07,121 --> 00:39:09,723 THERE'S A HUGE INDUSTRY NOW 1013 00:39:09,723 --> 00:39:11,225 THAT'S OUT THERE THAT IS 1014 00:39:11,225 --> 00:39:12,359 BUILDING KIND OF THE NEXT 1015 00:39:12,359 --> 00:39:16,330 GENERATION OF THESE CLOUD TOOLS 1016 00:39:16,330 --> 00:39:17,831 TO SUPPORT CLINICAL DATA 1017 00:39:17,831 --> 00:39:18,265 MANAGEMENT. 1018 00:39:18,265 --> 00:39:20,601 SO WE'RE THINKING ABOUT HOW CAN 1019 00:39:20,601 --> 00:39:22,102 WE LEVERAGE THE EXISTING 1020 00:39:22,102 --> 00:39:24,405 PLATFORMS AND WHAT ARE THE TOOLS 1021 00:39:24,405 --> 00:39:25,839 THAT WE CAN PROVIDE AS A SERVICE 1022 00:39:25,839 --> 00:39:28,342 THAT CAN MAKE THEM EASIER TO 1023 00:39:28,342 --> 00:39:31,412 USE, MAKE THEM MORE 1024 00:39:31,412 --> 00:39:32,846 INTEROPERABLE, SPIN UP EASIER, 1025 00:39:32,846 --> 00:39:35,149 EASIER TO WORK WITH IN THE 1026 00:39:35,149 --> 00:39:38,218 FEDERAL GOVERNMENT ENVIRONMENT. 1027 00:39:38,218 --> 00:39:40,054 WE CAN TALK ABOUT THAT IN THE 1028 00:39:40,054 --> 00:39:43,223 DISCUSSION, AND HOW CAN WE SCALE 1029 00:39:43,223 --> 00:39:44,658 THEM BETTER. 1030 00:39:44,658 --> 00:39:48,295 LOTS OF EXAMPLES, ONE EXAMPLE IS 1031 00:39:48,295 --> 00:39:51,799 NIH RECOVERS PLATFORM IS BUILT 1032 00:39:51,799 --> 00:39:55,736 OFF OF, AGAIN, CLOUD AND -- 1033 00:39:55,736 --> 00:39:58,605 CLOUD AND CIT AND OTHERS HAVE 1034 00:39:58,605 --> 00:39:59,473 PROVIDED. 1035 00:39:59,473 --> 00:40:01,975 SO, LET'S TALK ABOUT OUR 1036 00:40:01,975 --> 00:40:02,309 STRATEGY. 1037 00:40:02,309 --> 00:40:03,210 AGAIN, I'M PRESENTING HERE DOING 1038 00:40:03,210 --> 00:40:05,813 A ROAD SHOW THIS WEEK, IT'S 1039 00:40:05,813 --> 00:40:06,146 COUNCIL WEEK. 1040 00:40:06,146 --> 00:40:09,450 I'M DOING A ROAD SHOW THIS WEEK, 1041 00:40:09,450 --> 00:40:10,951 LOOKING FOR ADVICE, EITHER TODAY 1042 00:40:10,951 --> 00:40:12,953 OR OFFLINE IN THE FUTURE, ABOUT 1043 00:40:12,953 --> 00:40:13,954 WHERE WE'RE HEADED. 1044 00:40:13,954 --> 00:40:15,456 AND HOW WE'RE -- YOU KNOW, WHAT 1045 00:40:15,456 --> 00:40:18,525 DIRECTION WE'RE GOING IN. 1046 00:40:18,525 --> 00:40:19,860 I'D LOVE THIS GROUP HERE, YOU 1047 00:40:19,860 --> 00:40:22,896 ARE REALLY EXPERTS THAT CAN KIND 1048 00:40:22,896 --> 00:40:25,966 OF HELP US WITH HOW WE ARE 1049 00:40:25,966 --> 00:40:27,067 MOVING FORWARD. 1050 00:40:27,067 --> 00:40:28,869 SO, WE REALLY DESIRE TO BE THE 1051 00:40:28,869 --> 00:40:30,270 HUB FOR I.T. SERVICES. 1052 00:40:30,270 --> 00:40:32,973 WE WANT TO PROVIDE TOOLS THAT 1053 00:40:32,973 --> 00:40:34,141 CAN BE COLLABORATIVE, IN 1054 00:40:34,141 --> 00:40:36,810 COLLABORATION WITH I.C.s, 1055 00:40:36,810 --> 00:40:39,213 INCLUDING NLM, ODSS, AND OTHERS, 1056 00:40:39,213 --> 00:40:42,282 THAT WILL MAKE, YOU KNOW, 1057 00:40:42,282 --> 00:40:43,917 MANAGING OR DOING BIOMEDICAL 1058 00:40:43,917 --> 00:40:44,785 RESEARCH EASIER. 1059 00:40:44,785 --> 00:40:46,887 THINGS WE ALREADY DO, I TALKED 1060 00:40:46,887 --> 00:40:49,323 ABOUT CLOUD, TALKED ABOUT 1061 00:40:49,323 --> 00:40:51,592 AUTHORIZATION AND 1062 00:40:51,592 --> 00:40:53,460 AUTHENTICATION, BASICALLY IAM 1063 00:40:53,460 --> 00:40:54,428 FOR BIOMEDICAL RESEARCH, 1064 00:40:54,428 --> 00:40:55,762 WORKSPACES AND HOW WE SUPPORT 1065 00:40:55,762 --> 00:40:56,330 THEM. 1066 00:40:56,330 --> 00:40:58,065 I DIDN'T TALK ABOUT BRICKS, BUT 1067 00:40:58,065 --> 00:41:02,302 IT'S A PLATFORM THAT WE SUPPORT, 1068 00:41:02,302 --> 00:41:04,605 ONE OF THOSE TOOLS THAT ARE 1069 00:41:04,605 --> 00:41:04,905 WORKSPACES. 1070 00:41:04,905 --> 00:41:06,039 IF YOU HAVE DATA, NEED A SERVICE 1071 00:41:06,039 --> 00:41:07,441 TO MANAGE, WE CAN HELP WITH 1072 00:41:07,441 --> 00:41:08,108 THAT. 1073 00:41:08,108 --> 00:41:09,209 WE'RE ALSO HELPING WITH 1074 00:41:09,209 --> 00:41:11,712 ENTERPRISE ROLLOUT OF LARGE 1075 00:41:11,712 --> 00:41:13,347 LANGUAGE MODELS AND KIND OF 1076 00:41:13,347 --> 00:41:18,719 ADVANCED A.I., THESE ARE 1077 00:41:18,719 --> 00:41:20,687 SERVICES WHERE WE CAN SHARE 1078 00:41:20,687 --> 00:41:21,688 FEDERAL NIH CONFIDENTIAL 1079 00:41:21,688 --> 00:41:22,656 INFORMATION, WITH THE CLOUD, 1080 00:41:22,656 --> 00:41:24,958 WITH THESE A.I. SERVICES, IN A 1081 00:41:24,958 --> 00:41:27,127 WAY THE INVESTIGATORS KNOW THEY 1082 00:41:27,127 --> 00:41:27,928 ARE SECURELY PROTECTED. 1083 00:41:27,928 --> 00:41:30,330 THINGS WE WOULD LIKE TO DO IN 1084 00:41:30,330 --> 00:41:31,832 THE FUTURE, SCALE BETTER, BE 1085 00:41:31,832 --> 00:41:34,067 MORE AUTOMATED IN TERMS OF WHAT 1086 00:41:34,067 --> 00:41:38,338 WE DO, COLLABORATE MORE WITH 1087 00:41:38,338 --> 00:41:42,809 GROUPS LIKE NLM, AND WE WANT TO 1088 00:41:42,809 --> 00:41:44,011 MAKE ANALYSIS ENVIRONMENT 1089 00:41:44,011 --> 00:41:44,244 EASIER. 1090 00:41:44,244 --> 00:41:47,681 I WORKED WITH A NUMBER OF 1091 00:41:47,681 --> 00:41:49,483 NIH-FUNDED CONSORTIA BEFORE I 1092 00:41:49,483 --> 00:41:51,251 CAME HERE TO CIT, WHEN I WAS AT 1093 00:41:51,251 --> 00:41:52,986 THE UNIVERSITY OF WASHINGTON, 1094 00:41:52,986 --> 00:41:55,055 AND I TELL 'YA, ALL OF THEM WERE 1095 00:41:55,055 --> 00:41:58,892 WORKING, TRYING TO BUILD 1096 00:41:58,892 --> 00:41:59,426 CLOUD-BASED ENCLAVES OR 1097 00:41:59,426 --> 00:42:01,395 SANDBOXES, WHATEVER YOU WANT TO 1098 00:42:01,395 --> 00:42:02,963 CALL THEM, AND WERE STRUGGLING, 1099 00:42:02,963 --> 00:42:06,433 COME UP WITH THEIR OWN SOLUTION 1100 00:42:06,433 --> 00:42:07,100 AND STRUGGLING. 1101 00:42:07,100 --> 00:42:08,302 ONE PROJECT THREE TIMES TO GET 1102 00:42:08,302 --> 00:42:09,836 WHERE THEY ARE, WE MAY BE ABLE 1103 00:42:09,836 --> 00:42:12,239 TO HELP WITH SOME OF THAT. 1104 00:42:12,239 --> 00:42:13,874 CLINICAL TRIALS TOO IS AN 1105 00:42:13,874 --> 00:42:15,976 IMPORTANT AREA. 1106 00:42:15,976 --> 00:42:19,146 I FIND THAT CLINICAL TRIALS KIND 1107 00:42:19,146 --> 00:42:25,385 OF SPACE IS MAYBE -- NEEDS 1108 00:42:25,385 --> 00:42:26,019 MODERNIZATION AT NIH. 1109 00:42:26,019 --> 00:42:28,989 THEY HAVE NOT KEPT UP WITH 1110 00:42:28,989 --> 00:42:31,158 INSTITUTIONSES AND THERE MAY BE 1111 00:42:31,158 --> 00:42:32,159 OPPORTUNITIES, I CAN'T TELL YOU 1112 00:42:32,159 --> 00:42:34,828 HOW MANY CLINICAL TRIALS ARE 1113 00:42:34,828 --> 00:42:36,763 CURRENTLY BEING RUN AT THE NIH 1114 00:42:36,763 --> 00:42:38,165 RIGHT NOW, IT'S SURPRISING. 1115 00:42:38,165 --> 00:42:40,367 SO I'M JUST ABOUT OUT OF TIME. 1116 00:42:40,367 --> 00:42:43,403 SO I WANT TO MENTION ALSO WHAT 1117 00:42:43,403 --> 00:42:45,372 ARE WE UNLIKELY TO DO? 1118 00:42:45,372 --> 00:42:47,674 WE'RE NOT GOING TO BUILD AND 1119 00:42:47,674 --> 00:42:48,875 LEAD NATIONAL INFORMATION 1120 00:42:48,875 --> 00:42:50,978 RESOURCES, THAT'S WHAT THE NLM 1121 00:42:50,978 --> 00:42:51,411 DOES. 1122 00:42:51,411 --> 00:42:56,350 WE'RE NOT GOING TO BUILD 1123 00:42:56,350 --> 00:42:58,418 CANCER-BASED CLOUD PLATFORMS FOR 1124 00:42:58,418 --> 00:43:00,487 MANAGING, THAT'S WHAT NCI DOES. 1125 00:43:00,487 --> 00:43:03,690 WE'RE NOT GOING TO RUN AN 1126 00:43:03,690 --> 00:43:05,292 ASSOCIATION STUDY, THAT'S WHAT 1127 00:43:05,292 --> 00:43:06,293 NHGRI DOES. 1128 00:43:06,293 --> 00:43:07,494 REMEMBER THE OLD COMMERCIALS, WE 1129 00:43:07,494 --> 00:43:08,695 DON'T MAKE THE THINGS YOU DO, WE 1130 00:43:08,695 --> 00:43:11,198 MAKE THE THINGS YOU DO BETTER, 1131 00:43:11,198 --> 00:43:12,499 THE OLD BASF COMMERCIALS, WE 1132 00:43:12,499 --> 00:43:16,136 WANT TO BE SERVICES WE CAN 1133 00:43:16,136 --> 00:43:18,438 PROVIDE TO MAKE CYBER 1134 00:43:18,438 --> 00:43:19,006 INFRASTRUCTURE EASIER, MORE 1135 00:43:19,006 --> 00:43:21,475 SCALABLE, AND MEET KIND OF ALL 1136 00:43:21,475 --> 00:43:23,343 THOSE THINGS WE TALK ABOUT A 1137 00:43:23,343 --> 00:43:24,978 LOT, BUT, YOU KNOW, AND ARE 1138 00:43:24,978 --> 00:43:31,118 THINKING ABOUT HOW TO GET THERE, 1139 00:43:31,118 --> 00:43:32,653 FAIR DATA, ET CETERA. 1140 00:43:32,653 --> 00:43:34,187 SOMETHING ELSE BRIEFLY IS THE 1141 00:43:34,187 --> 00:43:36,356 CONCEPT OF DATA LIFE CYCLE, 1142 00:43:36,356 --> 00:43:39,092 SOMETHING THE NLM HAS THOUGHT A 1143 00:43:39,092 --> 00:43:42,296 LOT ABOUT OVER THE LAST -- OVER 1144 00:43:42,296 --> 00:43:45,132 PROBABLY ITS ENTIRE EXISTENCE, 1145 00:43:45,132 --> 00:43:46,500 AND THE CLINICAL WORLD, CLINICAL 1146 00:43:46,500 --> 00:43:47,834 INFORMATICS WORLD, HAS COME UP 1147 00:43:47,834 --> 00:43:51,305 WITH THIS CONCEPT OF A MATURITY 1148 00:43:51,305 --> 00:43:52,639 MODEL THAT YOU'RE FAMILIAR WITH, 1149 00:43:52,639 --> 00:43:55,208 MANY OF YOU ARE MORE EXPERTS 1150 00:43:55,208 --> 00:43:58,278 THAN I AM ON, AND I LOVE THE 1151 00:43:58,278 --> 00:44:00,347 CONCEPT OF THE MATURE MODEL AND 1152 00:44:00,347 --> 00:44:01,982 DATA RESOURCES, THINKING ABOUT 1153 00:44:01,982 --> 00:44:03,250 THE LIFE CYCLE OF A RESOURCE, 1154 00:44:03,250 --> 00:44:04,918 THINK ABOUT ALL THESE THINGS I 1155 00:44:04,918 --> 00:44:07,454 JUST TALKED ABOUT, LEGO PIECES, 1156 00:44:07,454 --> 00:44:08,889 CYBER INFRASTRUCTURE, TALKED 1157 00:44:08,889 --> 00:44:13,360 ABOUT FAIR DATA, YOU CAN IMAGINE 1158 00:44:13,360 --> 00:44:14,895 DEFINING AND MEASURING MATURITY 1159 00:44:14,895 --> 00:44:16,330 OF RESOURCE BASED ON HOW FAIR 1160 00:44:16,330 --> 00:44:21,668 THE DATA IS, HOW INTEROPERABLE, 1161 00:44:21,668 --> 00:44:24,304 LEVERAGING THE PLATFORMS OR LEGO 1162 00:44:24,304 --> 00:44:25,305 BLOCKS, HOW STANDARDIZED ARE 1163 00:44:25,305 --> 00:44:26,373 THEY. 1164 00:44:26,373 --> 00:44:28,141 AS WE TALK ABOUT THESE, YOU 1165 00:44:28,141 --> 00:44:29,443 KNOW, SIGNIFICANT OR STRATEGIC 1166 00:44:29,443 --> 00:44:31,278 DATA ASSETS THAT SUSAN WAS 1167 00:44:31,278 --> 00:44:32,045 TALKING ABOUT, WE WOULD LIKE TO 1168 00:44:32,045 --> 00:44:34,448 COME IN AND HELP THINK ABOUT THE 1169 00:44:34,448 --> 00:44:35,782 MATURITY OF THOSE RESOURCES FROM 1170 00:44:35,782 --> 00:44:40,087 JUST AN I.T. SERVICES 1171 00:44:40,087 --> 00:44:40,387 PERSPECTIVE. 1172 00:44:40,387 --> 00:44:41,988 AND WE'VE BEEN TALKING A LITTLE 1173 00:44:41,988 --> 00:44:44,991 BIT ABOUT KIND OF LIKE WHAT 1174 00:44:44,991 --> 00:44:46,893 WOULD BE THE SUSTAINABILITY, 1175 00:44:46,893 --> 00:44:48,595 WHAT WOULD BE THE TOOLS THAT 1176 00:44:48,595 --> 00:44:50,564 WOULD HELP DEFINE WHAT THAT 1177 00:44:50,564 --> 00:44:50,864 MATURITY IS. 1178 00:44:50,864 --> 00:44:52,299 THIS IS A CONVERSATION MAYBE 1179 00:44:52,299 --> 00:44:53,633 COME BACK TO THIS GROUP ON AT 1180 00:44:53,633 --> 00:44:56,136 SOME POINT IN THE FUTURE, 1181 00:44:56,136 --> 00:44:58,138 THINKING ABOUT HOW WE FUND 1182 00:44:58,138 --> 00:44:58,972 BIOMEDICAL DATA RESOURCES. 1183 00:44:58,972 --> 00:45:02,909 THERE ARE A LOT FUNDED ACROSS 1184 00:45:02,909 --> 00:45:05,212 THE I.C.s, SILOED, MANY OF 1185 00:45:05,212 --> 00:45:07,547 THEM, WHAT IS THE LIFE CYCLE, 1186 00:45:07,547 --> 00:45:09,316 HOW DO WE SUSTAIN, SUNSET, 1187 00:45:09,316 --> 00:45:11,585 SUPPORT THEM LONG TERM, MAKE 1188 00:45:11,585 --> 00:45:12,786 THEM MORE EFFICIENT, EASIER TO 1189 00:45:12,786 --> 00:45:13,120 RUN. 1190 00:45:13,120 --> 00:45:13,987 ALL RIGHT. 1191 00:45:13,987 --> 00:45:16,056 I'M DEFINITELY OUT OF TIME. 1192 00:45:16,056 --> 00:45:18,058 WE ALREADY COLLABORATE A LOT 1193 00:45:18,058 --> 00:45:20,694 WITH THE NLM. 1194 00:45:20,694 --> 00:45:24,398 WE MENTIONED RESEARCH OR 1195 00:45:24,398 --> 00:45:25,665 AUTHENTICATION, STRIDES, WORK IN 1196 00:45:25,665 --> 00:45:29,102 GENERATIVE A.I. AND SPINNING UP 1197 00:45:29,102 --> 00:45:32,372 OPERATIONAL I.T. GENERATIVE A.I. 1198 00:45:32,372 --> 00:45:34,441 TOOLS, NLM UTILIZED STREETS, WE 1199 00:45:34,441 --> 00:45:36,309 HAVE A TON OF DISCUSSIONS HOW WE 1200 00:45:36,309 --> 00:45:37,411 CAN COLLABORATE ON I.T. 1201 00:45:37,411 --> 00:45:39,980 PERSPECTIVE OF THINGS WE DO. 1202 00:45:39,980 --> 00:45:43,550 AND I THINK A.I. IS A HUGE AREA, 1203 00:45:43,550 --> 00:45:44,251 VERY IMPORTANT, EVERYBODY WANTS 1204 00:45:44,251 --> 00:45:45,051 ACCESS TO IT. 1205 00:45:45,051 --> 00:45:46,720 WE WANT TO PROVIDE IT IN A 1206 00:45:46,720 --> 00:45:47,454 SECURE WAY. 1207 00:45:47,454 --> 00:45:49,556 SOMETHING I DO WANT TO MENTION 1208 00:45:49,556 --> 00:45:52,526 THAT I DON'T TOTALLY -- MAYBE 1209 00:45:52,526 --> 00:45:53,827 THIS GROUP KNOWS BUT I DON'T IF 1210 00:45:53,827 --> 00:45:55,128 THE RESEARCHER COMMUNITY AND THE 1211 00:45:55,128 --> 00:46:00,500 WORLD HAS FIGURED OUT WE'VE 1212 00:46:00,500 --> 00:46:02,769 ENTERED THE AGE COOPERATIONAL 1213 00:46:02,769 --> 00:46:03,670 A.I., GETTING IMPLEMENTED 1214 00:46:03,670 --> 00:46:04,404 WITHOUT HAVING DATA SCIENTISTS 1215 00:46:04,404 --> 00:46:05,505 IN THE LOOP. 1216 00:46:05,505 --> 00:46:07,607 I DON'T THINK THAT'S EVER 1217 00:46:07,607 --> 00:46:10,444 HAPPENED BEFORE. 1218 00:46:10,444 --> 00:46:11,812 USUALLY THEY ARE IMPLEMENTING IN 1219 00:46:11,812 --> 00:46:15,682 A PRACTICE, DOESN'T MATTER IF 1220 00:46:15,682 --> 00:46:17,117 IT'S OUTSIDE MEDICINE, A MACHINE 1221 00:46:17,117 --> 00:46:19,085 LEARNING GUY, A PERSON BEHIND IT 1222 00:46:19,085 --> 00:46:21,388 IMPLEMENTING AND DOING THAT. 1223 00:46:21,388 --> 00:46:25,425 TODAY WE'RE PUTTING -- DRAFTING 1224 00:46:25,425 --> 00:46:29,029 IN-BOX MESSAGES IN MY CHART, 1225 00:46:29,029 --> 00:46:30,797 AMBIENT SCRIBES FOR 1226 00:46:30,797 --> 00:46:31,898 DOCUMENTATION, ZOOM MEETINGS 1227 00:46:31,898 --> 00:46:33,400 TRACKING NOTES, ALL BEING DONE 1228 00:46:33,400 --> 00:46:35,101 OUTSIDE THE CONTEXT OF A DATA 1229 00:46:35,101 --> 00:46:35,368 SCIENTIST. 1230 00:46:35,368 --> 00:46:37,137 THERE'S A HUGE OPPORTUNITY TO 1231 00:46:37,137 --> 00:46:37,804 STUDY THAT. 1232 00:46:37,804 --> 00:46:40,373 WE'RE JUST THROWING A.I. AT 1233 00:46:40,373 --> 00:46:42,309 PROBLEMS, SOLVING IT, AT THE 1234 00:46:42,309 --> 00:46:45,145 RESEARCH, NEEDS TO GET IN THERE 1235 00:46:45,145 --> 00:46:46,780 AND HELP STUDY BETTER. 1236 00:46:46,780 --> 00:46:48,415 SOMETHING WORTH TALKING ABOUT. 1237 00:46:48,415 --> 00:46:49,649 DEFINITELY OUT OF TIME. 1238 00:46:49,649 --> 00:46:50,717 WE'LL HAVE A NEWSLETTER. 1239 00:46:50,717 --> 00:47:00,460 YOU SHOULD READ IT. 1240 00:47:00,460 --> 00:47:00,994 THANK YOU. 1241 00:47:00,994 --> 00:47:03,196 I'LL HAND OFF TO STEVE WHO I 1242 00:47:03,196 --> 00:47:04,397 THINK IS ONLINE AND WE'LL DO 1243 00:47:04,397 --> 00:47:05,832 QUESTIONS AT THE END. 1244 00:47:05,832 --> 00:47:06,466 >> GREAT. 1245 00:47:06,466 --> 00:47:07,734 THANK YOU, SEAN, AND EVERYONE. 1246 00:47:07,734 --> 00:47:16,109 LET ME PULL MY SLIDES UP HERE. 1247 00:47:16,109 --> 00:47:18,311 I WANT TO SAY AGAIN I REGRET I 1248 00:47:18,311 --> 00:47:21,715 CANNOT BE THERE IN PERSON TODAY 1249 00:47:21,715 --> 00:47:24,351 THIS HAS BEEN A FANTASTIC 1250 00:47:24,351 --> 00:47:25,218 PRESENTATION AND DISCUSSION THIS 1251 00:47:25,218 --> 00:47:26,219 MORNING. 1252 00:47:26,219 --> 00:47:32,025 AND WHAT I'M HOPING TO DO IS 1253 00:47:32,025 --> 00:47:38,999 SIMPLY SHOW A LENS HERE OF SOME 1254 00:47:38,999 --> 00:47:39,599 COLLABORATIVE PRIORITIES 1255 00:47:39,599 --> 00:47:40,867 DESCRIBED BY SUSAN AND SEAN, 1256 00:47:40,867 --> 00:47:42,736 THEY HAVE DONE A FANTASTIC JOB 1257 00:47:42,736 --> 00:47:44,905 LAYING OUT THE ENVIRONMENT IN 1258 00:47:44,905 --> 00:47:49,276 THE CONCEPT NLM IS INTERACTING 1259 00:47:49,276 --> 00:47:50,944 WITH NIH, HHS, SCIENTIFIC 1260 00:47:50,944 --> 00:47:51,311 COMMUNITY. 1261 00:47:51,311 --> 00:47:53,213 I SELECTED THREE THEMES TO WALK 1262 00:47:53,213 --> 00:47:54,748 THROUGH BRIEFLY FROM OUR SIDE 1263 00:47:54,748 --> 00:47:56,716 LOOKING BACK OUT AT THEM AS A 1264 00:47:56,716 --> 00:47:57,918 PARTNER WHAT ARE WE DOING IN 1265 00:47:57,918 --> 00:47:58,919 THIS SPACE. 1266 00:47:58,919 --> 00:48:00,687 BUT I COULD REVIEW THAT WITH YOU 1267 00:48:00,687 --> 00:48:02,088 BECAUSE I DON'T THINK I COVERED 1268 00:48:02,088 --> 00:48:04,391 THIS FOR THE BOARD BEFORE IN ANY 1269 00:48:04,391 --> 00:48:05,292 PARTICULAR DETAIL. 1270 00:48:05,292 --> 00:48:08,995 THE THREE THINGS ARE A.I., 1271 00:48:08,995 --> 00:48:10,297 SUSTAINABILITY, AND ENTERPRISE 1272 00:48:10,297 --> 00:48:11,064 INFORMATION LANDSCAPE. 1273 00:48:11,064 --> 00:48:14,000 SO JUST REAL QUICKLY, YOU KNOW, 1274 00:48:14,000 --> 00:48:16,102 NLM BRINGS STRONG ASSETS INTO 1275 00:48:16,102 --> 00:48:18,305 THE A.I. RESEARCH CONVERSATION. 1276 00:48:18,305 --> 00:48:23,410 WE HAVE A MISSION AROUND 1277 00:48:23,410 --> 00:48:24,611 INFORMATION, STRONG REPUTATION, 1278 00:48:24,611 --> 00:48:26,279 EXPERTISE AND WORKFORCE CAPACITY 1279 00:48:26,279 --> 00:48:28,915 THAT COULD BE DEVELOPED TO APPLY 1280 00:48:28,915 --> 00:48:31,785 A.I. BOTH INTERNALLY TO 1281 00:48:31,785 --> 00:48:33,720 PRODUCTION OPERATIONS AND 1282 00:48:33,720 --> 00:48:34,921 EXTERNALLY AS ADVICE OR SUPPORT 1283 00:48:34,921 --> 00:48:36,990 FOR THE COMMUNITY. 1284 00:48:36,990 --> 00:48:38,658 INTERNALLY THIS YEAR, I THINK 1285 00:48:38,658 --> 00:48:40,060 THIS HAS BEEN BRIEFED TO YOU 1286 00:48:40,060 --> 00:48:44,130 BEFORE IN AN UPDATE BUT WE HAVE 1287 00:48:44,130 --> 00:48:46,232 DONE SOME PILOT PROJECTS WITHIN 1288 00:48:46,232 --> 00:48:46,399 NLM. 1289 00:48:46,399 --> 00:48:48,168 THIS WAS ACROSS OUR DIVISIONS. 1290 00:48:48,168 --> 00:48:51,237 WE WERE LOOKING AT TRYING TO 1291 00:48:51,237 --> 00:48:52,772 ADVANCE A COUPLE GOALS. 1292 00:48:52,772 --> 00:48:56,610 FIRST WE WANTED TO UNDERSTAND 1293 00:48:56,610 --> 00:49:00,780 THIS WORKSPACE IN AZURE OUT OF 1294 00:49:00,780 --> 00:49:02,048 PROGRAM SEAN ELOQUENTLY 1295 00:49:02,048 --> 00:49:03,617 DESCRIBED, HOW DO WE GO GO 1296 00:49:03,617 --> 00:49:05,051 THROUGH THE MECHANICS OF HAVING 1297 00:49:05,051 --> 00:49:06,353 STAFF CREATE AND DEVELOP 1298 00:49:06,353 --> 00:49:06,620 PROJECTS. 1299 00:49:06,620 --> 00:49:08,088 WE WANTED TO DEVELOP PROJECTS 1300 00:49:08,088 --> 00:49:10,490 THAT APPLY TO THEIR NLM WORK, 1301 00:49:10,490 --> 00:49:13,126 NOT RESEARCH BUT ACTUALLY THESE 1302 00:49:13,126 --> 00:49:14,661 WOULD BE OPERATIONAL TASKS, 1303 00:49:14,661 --> 00:49:15,762 VALUES TO OUR SERVICES. 1304 00:49:15,762 --> 00:49:17,831 IT WAS AN OPPORTUNITY THEN TO 1305 00:49:17,831 --> 00:49:21,134 TRY TO APPLY SOME OF THE UTILITY 1306 00:49:21,134 --> 00:49:22,535 AND RISK MITIGATION FRAMEWORKS, 1307 00:49:22,535 --> 00:49:23,837 INTRODUCE THAT AS A CONCEPT AND 1308 00:49:23,837 --> 00:49:25,739 I'LL COME BACK TO THAT. 1309 00:49:25,739 --> 00:49:27,807 FINALLY DO SOME WORKFORCE SKILL 1310 00:49:27,807 --> 00:49:31,745 DEVELOPMENT IN GENERATIVE A.I. 1311 00:49:31,745 --> 00:49:33,079 AND THE BENEFITS WE WERE SEEING 1312 00:49:33,079 --> 00:49:35,148 COMING OUT OF THESE PILOTS WAS 1313 00:49:35,148 --> 00:49:36,416 GOING TO BE EFFICIENCY, 1314 00:49:36,416 --> 00:49:39,185 REDUCTION OF COST IN TIME, DOING 1315 00:49:39,185 --> 00:49:40,954 SOME PROFESSIONAL WORK, 1316 00:49:40,954 --> 00:49:42,422 CURATION, COMPOSITION, RESPONSE 1317 00:49:42,422 --> 00:49:44,891 TO USER INQUIRIES, ET CETERA. 1318 00:49:44,891 --> 00:49:46,426 IMPROVING QUALITY AND ACCURACY 1319 00:49:46,426 --> 00:49:48,561 OF OUR INDEXED TERMS AND 1320 00:49:48,561 --> 00:49:50,797 SERVICES, AND SO IT IS ACTUALLY 1321 00:49:50,797 --> 00:49:54,067 LOOKING FOR ERRORS AND OUTLIERS, 1322 00:49:54,067 --> 00:49:55,702 LARGE CORPUS IN DATASETS, 1323 00:49:55,702 --> 00:49:58,672 ENHANCE THE USER EXPERIENCE 1324 00:49:58,672 --> 00:50:00,306 THROUGH MORE CUSTOMIZED AND 1325 00:50:00,306 --> 00:50:02,842 RESPONSIVE ANSWERS TO PARTICULAR 1326 00:50:02,842 --> 00:50:04,477 USER QUESTIONS, INSTEAD OF 1327 00:50:04,477 --> 00:50:05,979 GENERIC FAQs, AND TRY TO DRIVE 1328 00:50:05,979 --> 00:50:07,080 USER ACCESS AND DISCOVERY. 1329 00:50:07,080 --> 00:50:08,748 I'LL TALK ABOUT THAT A LITTLE 1330 00:50:08,748 --> 00:50:10,383 BIT MORE TOO. 1331 00:50:10,383 --> 00:50:13,953 WE DID THIS IN FOUR LARGE AREAS, 1332 00:50:13,953 --> 00:50:14,888 I THINK THERE'S TEN PROGRAMS 1333 00:50:14,888 --> 00:50:16,389 HERE SHOWN ON THE RIGHT. 1334 00:50:16,389 --> 00:50:17,891 I WON'T REVIEW THE LIST BUT THEY 1335 00:50:17,891 --> 00:50:21,628 WERE IN THE FOUR DOMAINS, 1336 00:50:21,628 --> 00:50:22,429 RESPONSIVE CUSTOMER SERVICE, AND 1337 00:50:22,429 --> 00:50:28,201 THIS WOULD BE AROUND HOW DO WE 1338 00:50:28,201 --> 00:50:30,704 ANSWER CUSTOMER COMMUNICATION, 1339 00:50:30,704 --> 00:50:32,172 WE GET THOUSANDS OF RESPONSES A 1340 00:50:32,172 --> 00:50:35,108 DAY, HOW TO DO THAT IN A SAFE 1341 00:50:35,108 --> 00:50:35,909 WAY. 1342 00:50:35,909 --> 00:50:37,977 WE'RE LOOKING DEEPLY INTO 1343 00:50:37,977 --> 00:50:39,179 OPERATIONAL PROCESS EFFICIENCY. 1344 00:50:39,179 --> 00:50:42,348 NLM, YOU'VE HEARD IN SEVERAL 1345 00:50:42,348 --> 00:50:44,317 TALKS, HAS PETABYTES OF DATA 1346 00:50:44,317 --> 00:50:45,518 FLOWING IN. 1347 00:50:45,518 --> 00:50:47,921 WE HAVE A FLAT OR MODESTLY 1348 00:50:47,921 --> 00:50:49,789 GROWING BUDGET WITH LIMITED 1349 00:50:49,789 --> 00:50:49,989 STAFF. 1350 00:50:49,989 --> 00:50:51,624 WE'RE ALWAYS LOOKING FOR NEW 1351 00:50:51,624 --> 00:50:54,594 OPPORTUNITIES TO LEVERAGE STAFF 1352 00:50:54,594 --> 00:50:56,563 EXPERTISE AND HAVE CURATION 1353 00:50:56,563 --> 00:51:03,470 APPLIED AT SCALE, HAVING 1354 00:51:03,470 --> 00:51:05,004 ORGANIZATION APPLIED AT SCALE 1355 00:51:05,004 --> 00:51:06,539 THROUGH TRANSFORMATION OF 1356 00:51:06,539 --> 00:51:08,608 METADATA AND RETRIEVAL SYSTEMS, 1357 00:51:08,608 --> 00:51:11,678 OR AS I MENTIONED YESTERDAY EDIT 1358 00:51:11,678 --> 00:51:13,446 SUPPORT FOR UMLS IN NEW TERMS 1359 00:51:13,446 --> 00:51:16,616 AND CONCEPTS, HOW DO YOU MATCH 1360 00:51:16,616 --> 00:51:18,251 THEM INTO EXISTING VOCABULARY 1361 00:51:18,251 --> 00:51:19,119 SYSTEM. 1362 00:51:19,119 --> 00:51:20,553 WE'RE TRYING TO LEVERAGE 1363 00:51:20,553 --> 00:51:21,521 ANALYTICS PARTS, SUMMARIZATION 1364 00:51:21,521 --> 00:51:23,923 AND ANALYSIS, LOOKING FOR DATA 1365 00:51:23,923 --> 00:51:24,257 VISUALIZATION. 1366 00:51:24,257 --> 00:51:26,893 WE'VE GOT RICH TOOL DEVELOPMENT 1367 00:51:26,893 --> 00:51:28,294 IN THE EXTRAMURAL PROGRAM 1368 00:51:28,294 --> 00:51:30,997 LOOKING AT GRANT PORTFOLIO 1369 00:51:30,997 --> 00:51:32,332 ANALYSIS, DOING NETWORK ANALYSIS 1370 00:51:32,332 --> 00:51:35,401 IN OUR SYSTEMS, HOW DATA AND 1371 00:51:35,401 --> 00:51:37,937 QUERIES ARE MOVED ACROSS USER 1372 00:51:37,937 --> 00:51:39,472 SESSIONS TO UNDERSTAND WHERE THE 1373 00:51:39,472 --> 00:51:41,808 INTERACTIONS ARE BETWEEN DATA 1374 00:51:41,808 --> 00:51:42,342 SYSTEMS. 1375 00:51:42,342 --> 00:51:43,309 FINALLY THERE'S RESEARCH WITHIN 1376 00:51:43,309 --> 00:51:46,613 THE IRP THAT'S DOING THINGS LIKE 1377 00:51:46,613 --> 00:51:49,182 SUPPORTING CLINICAL SUPPORT IN 1378 00:51:49,182 --> 00:51:50,450 TRIAL GPT, UNDERSTANDING 1379 00:51:50,450 --> 00:51:51,851 CLINICAL TRIALS, A SAMPLING FROM 1380 00:51:51,851 --> 00:51:55,688 THE FIRST ROUND OF CREATING DEMO 1381 00:51:55,688 --> 00:51:57,090 PROJECTS THAT WERE BOTTOM-UP 1382 00:51:57,090 --> 00:52:00,059 DESIGNED AND PROPOSED BY STAFF. 1383 00:52:00,059 --> 00:52:05,532 IT WAS A POWERFUL OUTCOME, 1384 00:52:05,532 --> 00:52:06,299 COMPLEMENTARIES ON THE 1385 00:52:06,299 --> 00:52:07,734 INTRAMURAL RESEARCH SIDE THERE'S 1386 00:52:07,734 --> 00:52:09,169 A SECOND CHALLENGE HOW DO WE 1387 00:52:09,169 --> 00:52:13,773 TAKE THE DATA AND HOLDINGS WITH 1388 00:52:13,773 --> 00:52:16,276 NLM AND IMAGINE TRANSFORMING 1389 00:52:16,276 --> 00:52:18,378 INTO KNOWLEDGE, KNOWLEDGE 1390 00:52:18,378 --> 00:52:19,345 GRAPHS, WE HAVE RICH 1391 00:52:19,345 --> 00:52:20,980 COLLECTIONS, BIG DATA SETS, ON 1392 00:52:20,980 --> 00:52:24,184 ONE HAND A RICH CORPUS OF 1393 00:52:24,184 --> 00:52:28,321 LITERATURE FROM PUBMED CENTRAL, 1394 00:52:28,321 --> 00:52:30,190 OUR COLLECTION THERE, MANUSCRIPT 1395 00:52:30,190 --> 00:52:30,957 SUBMISSION SYSTEM FAIRLY 1396 00:52:30,957 --> 00:52:33,793 UNSTRUCTURED WITH ASPIRATION WE 1397 00:52:33,793 --> 00:52:36,129 COULD TAKE THE PRE-COMPUTE LINKS 1398 00:52:36,129 --> 00:52:37,397 AND ADDITIONAL COMPUTATION AND 1399 00:52:37,397 --> 00:52:38,965 GENERATE WHAT'S ILLUSTRATED IN 1400 00:52:38,965 --> 00:52:41,034 THE CENTER, A KNOWLEDGE GRAPH 1401 00:52:41,034 --> 00:52:44,304 THAT WOULD BE REPRESENTATIVE AND 1402 00:52:44,304 --> 00:52:45,538 QUERIABLE AROUND PARTICULAR 1403 00:52:45,538 --> 00:52:45,839 FACETS. 1404 00:52:45,839 --> 00:52:49,742 SO WE'RE TRYING TO PILOT THIS IN 1405 00:52:49,742 --> 00:52:51,744 A LIMITED DOMAIN, I SAY LIMITED, 1406 00:52:51,744 --> 00:52:53,379 THROUGH SOMETHING CALLED THE 1407 00:52:53,379 --> 00:52:54,714 CELL KNOWLEDGE BASE. 1408 00:52:54,714 --> 00:52:56,015 CELLS ARE FUNDAMENTAL TO 1409 00:52:56,015 --> 00:52:57,984 BIOLOGY, AND YET AT NLM IT'S THE 1410 00:52:57,984 --> 00:52:59,953 ONE PART OF LIFE SCIENCES WE 1411 00:52:59,953 --> 00:53:01,588 DON'T HAVE A REAL RESOURCE 1412 00:53:01,588 --> 00:53:02,121 AROUND. 1413 00:53:02,121 --> 00:53:04,657 WE HAVE RESOURCES AROUND 1414 00:53:04,657 --> 00:53:05,959 MOLECULES, AROUND CHEMICAL 1415 00:53:05,959 --> 00:53:08,061 COMPOUNDS, SYSTEMS, AND HIGHER 1416 00:53:08,061 --> 00:53:09,262 LEVEL PHYSIOLOGICAL THINGS LIKE 1417 00:53:09,262 --> 00:53:10,563 HEALTH AND OUTCOME, BUT AT THE 1418 00:53:10,563 --> 00:53:13,199 LEVEL OF CELLS WE DON'T HAVE 1419 00:53:13,199 --> 00:53:15,068 ORGANIZED INFORMATION. 1420 00:53:15,068 --> 00:53:16,169 NIH OBVIOUSLY PUTS A LOT OF 1421 00:53:16,169 --> 00:53:17,370 RESEARCH IN THIS AREA. 1422 00:53:17,370 --> 00:53:20,740 WE HAVE THE CELL ATLAS AND MANY 1423 00:53:20,740 --> 00:53:21,774 PROGRAMS GENERATING DATA AS 1424 00:53:21,774 --> 00:53:23,576 SHOWN ON THE LEFT-HAND SIDE, AND 1425 00:53:23,576 --> 00:53:25,678 THERE ARE RICH STRATEGIC TOOLS 1426 00:53:25,678 --> 00:53:27,747 AND ASSETS THAT DESCRIBE MUCH OF 1427 00:53:27,747 --> 00:53:30,250 THE CELLULAR EXPRESSION, EVEN 1428 00:53:30,250 --> 00:53:31,184 DOWN TO SPECIFIC CELL IN THE 1429 00:53:31,184 --> 00:53:34,087 BRAIN, EFFECTS, WHERE THEY ARE 1430 00:53:34,087 --> 00:53:34,821 DOING TISSUE-SPECIFIBASED 1431 00:53:34,821 --> 00:53:37,557 EXPRESSION, TRYING TO UNDERSTAND 1432 00:53:37,557 --> 00:53:40,927 HOW THAT INTERACTS WITH DRUG 1433 00:53:40,927 --> 00:53:42,295 DOSING AND PHENOTYPIC OUTCOMES 1434 00:53:42,295 --> 00:53:43,963 SUCH AS ALZHEIMER'S DISEASE, WE 1435 00:53:43,963 --> 00:53:45,632 CAN IMAGINE A PROTEOSTASIS TIME 1436 00:53:45,632 --> 00:53:47,634 IN RESEARCH TRYING TO TAKE THIS 1437 00:53:47,634 --> 00:53:48,501 PRE-COMPUTED INFORMATION ON THE 1438 00:53:48,501 --> 00:53:54,073 LEFT-HAND SIDE AND COUPLE THAT 1439 00:53:54,073 --> 00:53:56,409 WITH SEMANTIC AND STATEMENTS 1440 00:53:56,409 --> 00:53:59,646 EXTRACTED FROM LITERATURE IN 1441 00:53:59,646 --> 00:54:01,214 PubMed 1442 00:54:01,214 --> 00:54:01,748 PUBMED CENTRAL THROUGH THE 1443 00:54:01,748 --> 00:54:04,851 SITUATION ITEM WE CAN MINE, OPEN 1444 00:54:04,851 --> 00:54:07,887 AC -- SYSTEM WE CAN MINE, TRAIN 1445 00:54:07,887 --> 00:54:10,857 TO GENERATE AND DEVELOP LARGE 1446 00:54:10,857 --> 00:54:12,191 LANGUAGE MODELS. 1447 00:54:12,191 --> 00:54:13,826 THE GOAL AND ASPIRATION IN THE 1448 00:54:13,826 --> 00:54:16,562 PILOT THEN IS TO DEVELOP LIKE I 1449 00:54:16,562 --> 00:54:19,432 SAID THIS KIND OF CENTRAL 1450 00:54:19,432 --> 00:54:25,872 KNOWLEDGE GRAPH WHICH REPRESENTS 1451 00:54:25,872 --> 00:54:26,839 CELL TYPES, BIOMARKERS, DISEASES 1452 00:54:26,839 --> 00:54:29,142 MANIFEST IN GENES AND COMPOUNDS 1453 00:54:29,142 --> 00:54:30,677 IN A STATEMENT QUERIABLE WAY 1454 00:54:30,677 --> 00:54:32,278 WHERE YOU COULD ASK QUESTIONS, 1455 00:54:32,278 --> 00:54:35,248 AS SHOWN HERE, WHAT ARE ARE 1456 00:54:35,248 --> 00:54:36,783 GOING TO BE CELL TYPES AND WITH 1457 00:54:36,783 --> 00:54:39,919 MARKER GENES THAT ARE ASSOCIATED 1458 00:54:39,919 --> 00:54:41,421 WITH ALZHEIMER'S DISEASE, THE 1459 00:54:41,421 --> 00:54:43,623 DRUG AS A TARGET, YOU CAN GET 1460 00:54:43,623 --> 00:54:44,924 CELL TYPES TARGETED OR CELL 1461 00:54:44,924 --> 00:54:46,426 TYPES THAT EXHIBIT BOTH, YOU 1462 00:54:46,426 --> 00:54:48,861 KNOW, MULTIPLE GENES THAT ARE 1463 00:54:48,861 --> 00:54:49,495 ASSOCIATED WITH BIOMARKERS FOR 1464 00:54:49,495 --> 00:54:50,196 ALZHEIMER'S DISEASE. 1465 00:54:50,196 --> 00:54:51,631 THIS IS JUST ONE STEP TO 1466 00:54:51,631 --> 00:54:53,700 UNDERSTAND HOW DO WE BUILD THESE 1467 00:54:53,700 --> 00:54:55,668 GRAPHS, HOW DO WE ORGANIZE THEM 1468 00:54:55,668 --> 00:54:58,838 FOR EFFICIENT COMPUTE, HOW DO WE 1469 00:54:58,838 --> 00:55:00,473 EXECUTE THOSE QUERIES IN REAL 1470 00:55:00,473 --> 00:55:02,342 TIME AT SCALE, MEANING MILLIONS 1471 00:55:02,342 --> 00:55:03,343 OF OPERATIONS PER SECOND, 1472 00:55:03,343 --> 00:55:05,511 BECAUSE THAT'S THE LOAD WE GET 1473 00:55:05,511 --> 00:55:07,146 IN PubMed AND ENTREE AND 1474 00:55:07,146 --> 00:55:07,847 OTHER SERVICES. 1475 00:55:07,847 --> 00:55:09,782 SO THIS IS VERY MUCH AN 1476 00:55:09,782 --> 00:55:11,084 ENGINEERING PROBLEM FIRST, TO 1477 00:55:11,084 --> 00:55:12,952 SAY WHAT'S THE RIGHT MODALITIES. 1478 00:55:12,952 --> 00:55:14,821 IT'S AN AREA WE'RE GOING TO HAVE 1479 00:55:14,821 --> 00:55:16,656 STRONG PARTNERSHIP WAS SEAN AND 1480 00:55:16,656 --> 00:55:18,624 SUSAN, AS WE UNDERSTAND HOW TO 1481 00:55:18,624 --> 00:55:22,662 DO THIS FIRST LOCALLY WITHIN NLM 1482 00:55:22,662 --> 00:55:23,629 HOLDINGS, AND THEN GENERALIZE 1483 00:55:23,629 --> 00:55:27,266 THIS ACROSS THE I.C. AND THE 1484 00:55:27,266 --> 00:55:28,034 OTHER ENTERPRISE ACTIVITIES. 1485 00:55:28,034 --> 00:55:29,802 THE LAST PART OF A.I. I WANTED 1486 00:55:29,802 --> 00:55:34,574 TO MENTION QUICKLY IS OUR ETHICS 1487 00:55:34,574 --> 00:55:34,774 TEAM. 1488 00:55:34,774 --> 00:55:37,677 WE HAVE A LEADERSHIP OPPORTUNITY 1489 00:55:37,677 --> 00:55:40,079 AT NLM TO UNDERSTAND AND HELP 1490 00:55:40,079 --> 00:55:41,481 PROMOTE BEST PRACTICES THAT CAN 1491 00:55:41,481 --> 00:55:44,884 TRY TO MAXIMIZE THE BENEFITS OF 1492 00:55:44,884 --> 00:55:46,185 A.I. DEVELOPMENT, WHILE 1493 00:55:46,185 --> 00:55:46,853 CONSCIOUSLY UNDERSTANDING 1494 00:55:46,853 --> 00:55:47,720 MODELING AND MITIGATING RISK. 1495 00:55:47,720 --> 00:55:50,590 THIS IS DONE THROUGH A COUPLE OF 1496 00:55:50,590 --> 00:55:51,524 RISK MITIGATION FRAMEWORKS. 1497 00:55:51,524 --> 00:55:54,394 THERE'S ONE DEVELOPED BY NIST. 1498 00:55:54,394 --> 00:55:55,628 THERE'S ONE THE FDA USES FOR 1499 00:55:55,628 --> 00:55:57,730 CLEARANCE AND EVALUATION OF 1500 00:55:57,730 --> 00:56:00,433 MEDICAL DEVICES, W.H.O. RELEASED 1501 00:56:00,433 --> 00:56:03,636 ONE LAST WEEK AROUND PANDEMIC 1502 00:56:03,636 --> 00:56:04,037 A.I. SURVEILLANCE. 1503 00:56:04,037 --> 00:56:05,271 THERE'S MANY OTHER LEGAL WHITE 1504 00:56:05,271 --> 00:56:06,672 HOUSE INITIATIVES AND EXECUTIVE 1505 00:56:06,672 --> 00:56:08,441 ORDERS THAT CREATE A CONTEXT 1506 00:56:08,441 --> 00:56:12,478 THAT'S ASKING FOR A CULTURE OF 1507 00:56:12,478 --> 00:56:13,146 CARE, CAUTION, TRUSTWORTHINESS, 1508 00:56:13,146 --> 00:56:14,414 TRANSPARENCY, IN THE DEVELOPMENT 1509 00:56:14,414 --> 00:56:16,983 OF A.I., THIS IS A PLACE WHERE 1510 00:56:16,983 --> 00:56:18,284 GOVERNMENT CAN LEAD, AND THIS IS 1511 00:56:18,284 --> 00:56:20,920 SOMETHING THAT NLM IS TRYING TO 1512 00:56:20,920 --> 00:56:22,221 INTERNALIZE, WHICH REALLY MEANS 1513 00:56:22,221 --> 00:56:24,957 IT'S A CULTURE CHANGE BECAUSE 1514 00:56:24,957 --> 00:56:28,127 YOU'RE HAVING TO TAKE THIS SENSE 1515 00:56:28,127 --> 00:56:30,963 OF RISK, BIAS, STRUCTURE, YOU 1516 00:56:30,963 --> 00:56:31,497 KNOW, QUESTIONING EVERY 1517 00:56:31,497 --> 00:56:34,133 ASSUMPTION ABOUT DATA AND MODELS 1518 00:56:34,133 --> 00:56:36,002 OF REPRESENTATION, HOW YOU'RE 1519 00:56:36,002 --> 00:56:37,403 TRAINING MODEL, AND ASKING WHAT 1520 00:56:37,403 --> 00:56:39,338 IS THIS REPRESENTATIVE OF, WHO 1521 00:56:39,338 --> 00:56:41,674 IS IT MISSING, IS IT 1522 00:56:41,674 --> 00:56:42,675 GENERALIZABLE TO THE AMERICAN 1523 00:56:42,675 --> 00:56:44,744 EXPERIENCE FOR ALL MINORITIES, 1524 00:56:44,744 --> 00:56:48,247 AGE GROUPS, DEMOGRAPHICS, AND 1525 00:56:48,247 --> 00:56:49,982 THAT'S ANALYTICAL EXERCISE THAT 1526 00:56:49,982 --> 00:56:52,351 IS IN A WAY VERY TAXING AND 1527 00:56:52,351 --> 00:56:53,386 CHALLENGING BUT REWARDING WHEN 1528 00:56:53,386 --> 00:56:54,387 YOU GET IT RIGHT. 1529 00:56:54,387 --> 00:56:56,656 THIS IS A NEW CULTURAL PIVOT FOR 1530 00:56:56,656 --> 00:56:58,858 NLM, SO WE BUILT A TEAM THAT HAS 1531 00:56:58,858 --> 00:57:00,193 REPRESENTATIVES OF ALL NLM 1532 00:57:00,193 --> 00:57:01,828 DIVISIONS TRYING TO PILOT THIS 1533 00:57:01,828 --> 00:57:04,397 WITH SOME OF OUR MAJOR SERVICES 1534 00:57:04,397 --> 00:57:05,198 AND PRODUCTS. 1535 00:57:05,198 --> 00:57:07,834 TO SEE HOW DO WE INTRODUCE 1536 00:57:07,834 --> 00:57:10,236 CULTURE OF CHANGE IN RESPONSE 1537 00:57:10,236 --> 00:57:11,404 A.I. OVERSIGHT. 1538 00:57:11,404 --> 00:57:13,206 THERE'S CHALLENGES, AS I 1539 00:57:13,206 --> 00:57:13,873 MENTIONED, THERE'S MANY 1540 00:57:13,873 --> 00:57:15,508 PLATFORMS WHICH ONE DO YOU WORK, 1541 00:57:15,508 --> 00:57:19,212 HOW DO YOU SOCIALIZE THIS? 1542 00:57:19,212 --> 00:57:22,482 HOW DO WE INCENTIVIZE INNOVATION 1543 00:57:22,482 --> 00:57:23,583 IN EXISTING FRAMEWORKS AROUND -- 1544 00:57:23,583 --> 00:57:25,818 INSTEAD OF BUILDING YET ANOTHER 1545 00:57:25,818 --> 00:57:28,754 FRAMEWORK THAT THERE'S A BIT OF 1546 00:57:28,754 --> 00:57:30,456 EXHAUSTION MAYBE THERE'S TOO 1547 00:57:30,456 --> 00:57:31,257 MANY, UNDERSTANDING THE SWEET 1548 00:57:31,257 --> 00:57:31,491 SPOT. 1549 00:57:31,491 --> 00:57:32,358 MORE TO COME. 1550 00:57:32,358 --> 00:57:33,993 THIS IS SOMETHING WE'RE TRYING 1551 00:57:33,993 --> 00:57:36,295 TO APPLY AS WE DO OUR A.I. 1552 00:57:36,295 --> 00:57:36,729 DEVELOPMENT. 1553 00:57:36,729 --> 00:57:39,999 THIS WAS DONE IN OUR TEN DEMO 1554 00:57:39,999 --> 00:57:40,533 PROJECTS. 1555 00:57:40,533 --> 00:57:41,868 REAL QUICKLY I'M SENSITIVE TO 1556 00:57:41,868 --> 00:57:43,636 TIME HERE, THAT THE OTHER TWO 1557 00:57:43,636 --> 00:57:46,539 AREAS I WANTED TO MENTION, SUSAN 1558 00:57:46,539 --> 00:57:48,774 AND SEAN I THINK DID A FANTASTIC 1559 00:57:48,774 --> 00:57:50,309 JOB SETTING UP. 1560 00:57:50,309 --> 00:57:53,045 BUT JUST TO MENTION 1561 00:57:53,045 --> 00:57:54,680 SUSTAINABILITY IS A PRIORITY FOR 1562 00:57:54,680 --> 00:57:55,581 NLM AND NIH. 1563 00:57:55,581 --> 00:57:59,051 AND OUR ROLE IN THIS IS HELPING 1564 00:57:59,051 --> 00:58:01,787 TO OFFER SOME INSTITUTIONAL I.C. 1565 00:58:01,787 --> 00:58:02,889 LEADERSHIP IN DEVELOPING 1566 00:58:02,889 --> 00:58:05,525 MANAGEMENT TOOLS FOR SUFFICIENT 1567 00:58:05,525 --> 00:58:06,592 PLANNING AND SUSTAINING 1568 00:58:06,592 --> 00:58:07,627 STRUCTURES FOR STRATEGIC 1569 00:58:07,627 --> 00:58:08,794 BIOMEDICAL DATA ASSETS, HOW DO 1570 00:58:08,794 --> 00:58:09,662 WE MEASURE THEIR IMPACT? 1571 00:58:09,662 --> 00:58:11,864 THERE'S A LOT OF FUDGINESS IN 1572 00:58:11,864 --> 00:58:13,166 THIS AREA. 1573 00:58:13,166 --> 00:58:14,267 SUSAN REVIEWED EARLIER, IT'S 1574 00:58:14,267 --> 00:58:15,535 DIFFICULT TO GET METRICS. 1575 00:58:15,535 --> 00:58:16,903 IT'S DIFFICULT TO SAY EXACTLY 1576 00:58:16,903 --> 00:58:18,971 WHAT IS STRATEGIC. 1577 00:58:18,971 --> 00:58:21,707 THERE'S MANY INTERNATIONAL 1578 00:58:21,707 --> 00:58:22,909 GROUPS LIKE THE GLOBAL BIODATA 1579 00:58:22,909 --> 00:58:24,443 COALITION AND OTHERS TRYING COME 1580 00:58:24,443 --> 00:58:27,413 UP WITH STRATEGIES AND FRAMINGS. 1581 00:58:27,413 --> 00:58:29,582 WE'RE REALLY DIALING IN ON A 1582 00:58:29,582 --> 00:58:35,521 COUPLE OF FUNDAMENTAL TOOL 1583 00:58:35,521 --> 00:58:38,891 AREAS, FIRST IS UNDERSTANDING 1584 00:58:38,891 --> 00:58:40,526 SUSTAINABILITY PLANS, SEAN 1585 00:58:40,526 --> 00:58:42,395 OUTLINED THE CONCEPT TO APPLY TO 1586 00:58:42,395 --> 00:58:43,996 OUR OWN INTERNAL OFFERINGS AND 1587 00:58:43,996 --> 00:58:45,898 SYSTEMS TO SAY WHERE DO THEY 1588 00:58:45,898 --> 00:58:47,667 LAND ON THIS AXIS OR MATRIX, 1589 00:58:47,667 --> 00:58:49,402 WHAT CAN WE DO TO ENRICH AND 1590 00:58:49,402 --> 00:58:51,137 UNDERSTAND HOW THIS COULD BE 1591 00:58:51,137 --> 00:58:55,441 USED AS A FORWARD MANAGING TOOL. 1592 00:58:55,441 --> 00:58:57,276 WE'RE TRYING TO PARTICIPATE IN 1593 00:58:57,276 --> 00:58:58,477 COLLECTION AND REPORTING OF 1594 00:58:58,477 --> 00:59:04,483 METRICS, LIFE CYCLE OF DATA, 1595 00:59:04,483 --> 00:59:05,585 INCENTIVIZING SUBMISSION, 1596 00:59:05,585 --> 00:59:07,887 REWARDING AND IDENTIFYING 1597 00:59:07,887 --> 00:59:08,187 SUBMITTERS. 1598 00:59:08,187 --> 00:59:10,389 SUSAN MENTIONED DOIs, WE GO 1599 00:59:10,389 --> 00:59:13,793 TRY LOOK TO SAY ARE THERE 1600 00:59:13,793 --> 00:59:15,094 OPPORTUNITIES HERE TO CREATE 1601 00:59:15,094 --> 00:59:16,829 SERVICES AND RECORDS ALIGNED TO 1602 00:59:16,829 --> 00:59:18,831 SUBMITTERS, GIVING THEM A 1603 00:59:18,831 --> 00:59:24,303 MEASURE OF VALUE THROUGH USAGE 1604 00:59:24,303 --> 00:59:27,773 OR CITATION, AND SUNSETTING IS 1605 00:59:27,773 --> 00:59:28,674 RELEVANCE AS IMPORTANCE MIGHT 1606 00:59:28,674 --> 00:59:30,643 DIMINISH AS QUESTIONS OF SCIENCE 1607 00:59:30,643 --> 00:59:31,310 EVOLVE. 1608 00:59:31,310 --> 00:59:33,813 THAT'S NOT IN THE FIELD SO WE 1609 00:59:33,813 --> 00:59:35,548 HAVE TO LEARN TO LET YESTERDAY'S 1610 00:59:35,548 --> 00:59:38,317 WORK GO TO DO TOMORROW'S WORK. 1611 00:59:38,317 --> 00:59:41,287 THE DEVELOPMENT OF SBDA ADOPTION 1612 00:59:41,287 --> 00:59:42,588 OF STANDARDS, COMMON DATA 1613 00:59:42,588 --> 00:59:44,223 ELEMENTS, WE NEED TO THINK HOW 1614 00:59:44,223 --> 00:59:48,594 DO WE MAKE THAT SYSTEMATIC RICH 1615 00:59:48,594 --> 00:59:50,029 AND VALUABLE AND CROSS-WALK 1616 00:59:50,029 --> 00:59:52,765 BETWEEN CLINICAL AND RESEARCH 1617 00:59:52,765 --> 00:59:53,532 DATASETS. 1618 00:59:53,532 --> 00:59:55,101 THOSE FOUR AREAS ARE SUMMARIZING 1619 00:59:55,101 --> 00:59:56,269 THIS AT HIGH LEVEL TRYING TO 1620 00:59:56,269 --> 00:59:59,338 LOOK FOR TOOLS AND FRAMEWORKS TO 1621 00:59:59,338 --> 01:00:02,508 ASSESS THE MATURITY OF STRATEGIC 1622 01:00:02,508 --> 01:00:03,643 BIODATA ELEMENTS, TRYING TO 1623 01:00:03,643 --> 01:00:05,111 ASSESS THEIR IMPACT AND 1624 01:00:05,111 --> 01:00:06,345 SIGNIFICANCE, WE'RE TRYING TO 1625 01:00:06,345 --> 01:00:08,214 LOOK AT SUNSETTING AND 1626 01:00:08,214 --> 01:00:09,515 UNDERSTANDING ARE THEY STILL 1627 01:00:09,515 --> 01:00:13,786 RELEVANT TODAY? 1628 01:00:13,786 --> 01:00:16,622 ARE THEY VALUABLE BUT NEED TO BE 1629 01:00:16,622 --> 01:00:19,458 REIMAGINED FOR THE FUTURE? 1630 01:00:19,458 --> 01:00:20,226 FINALLY UNDERSTAND THEIR 1631 01:00:20,226 --> 01:00:21,027 INTEROPERABILITY, FOUR IMPORTANT 1632 01:00:21,027 --> 01:00:22,795 LENSES TO FLESH OUT MATURITY 1633 01:00:22,795 --> 01:00:30,903 MODELS AND FIGURE OUT WHERE TO 1634 01:00:30,903 --> 01:00:32,938 MAKE INVESTMENTS MOST IMPACTFUL, 1635 01:00:32,938 --> 01:00:35,641 INTERNALLY AND EXTERNALLY. 1636 01:00:35,641 --> 01:00:38,311 FINALLY THE COLLABORATIVE 1637 01:00:38,311 --> 01:00:39,178 OPPORTUNITIES AROUND INFORMATION 1638 01:00:39,178 --> 01:00:39,979 TECHNOLOGY. 1639 01:00:39,979 --> 01:00:45,851 SEAN DID A GREAT OUTLINING WHAT 1640 01:00:45,851 --> 01:00:49,155 PATI AND ANDREA AND DORIS SET 1641 01:00:49,155 --> 01:00:52,091 UP, DIGITAL NIH, THE AWARENESS 1642 01:00:52,091 --> 01:00:54,193 THAT SUSAN'S OFFICE ODSS, SEAN 1643 01:00:54,193 --> 01:00:56,495 AT CIT, NLM AND OFFICE OF THE 1644 01:00:56,495 --> 01:00:59,332 CHIEF INFORMATION OFFICER, ALL 1645 01:00:59,332 --> 01:01:01,467 PLAY ROLES COLLECTIVELY TO 1646 01:01:01,467 --> 01:01:02,601 ADVANCE THE ENTERPRISE 1647 01:01:02,601 --> 01:01:03,369 INFORMATION TECHNOLOGY LANDSCAPE 1648 01:01:03,369 --> 01:01:03,803 AT NIH. 1649 01:01:03,803 --> 01:01:06,205 NOT ONE OFFICE CAN DO IT ALL. 1650 01:01:06,205 --> 01:01:09,275 WE HAVE DIFFERENT ROLES. 1651 01:01:09,275 --> 01:01:13,012 THE NLM ROLE IN THIS KIND OF 1652 01:01:13,012 --> 01:01:14,213 QUARTET IS LEADING 1653 01:01:14,213 --> 01:01:15,514 BIOINFORMATICS AND DATA SCIENCE 1654 01:01:15,514 --> 01:01:16,182 IMPLEMENTATION. 1655 01:01:16,182 --> 01:01:18,484 WE DO THAT AS SHOWN THROUGH 1656 01:01:18,484 --> 01:01:18,884 SPECIFIC ROLES AND 1657 01:01:18,884 --> 01:01:20,453 RESPONSIBILITIES HERE ON THE 1658 01:01:20,453 --> 01:01:20,820 LEFT. 1659 01:01:20,820 --> 01:01:22,855 WE DO DEEP COLLABORATION WITH 1660 01:01:22,855 --> 01:01:23,756 ODSS AND CIT. 1661 01:01:23,756 --> 01:01:25,725 WE TRY TO ADVANCE AND SUPPORT 1662 01:01:25,725 --> 01:01:26,926 NIH'S STRATEGIC PLAN FOR DATA 1663 01:01:26,926 --> 01:01:27,259 SCIENCE. 1664 01:01:27,259 --> 01:01:29,028 WE HAVE OUR OWN DATA SCIENCE 1665 01:01:29,028 --> 01:01:30,496 PLANS AND STRATEGIC GOALS HERE 1666 01:01:30,496 --> 01:01:32,832 AT NLM THAT ARE COUPLED CLOSELY 1667 01:01:32,832 --> 01:01:35,768 TO THOSE, THEN WE HAVE 1668 01:01:35,768 --> 01:01:43,676 OPERATIONAL SERVICES AROUND 1669 01:01:43,676 --> 01:01:44,744 CURATION, STANDARDIZATION, AND 1670 01:01:44,744 --> 01:01:45,511 DOING RESEARCH. 1671 01:01:45,511 --> 01:01:47,713 WE'VE HEARD SEVERAL OF THESE 1672 01:01:47,713 --> 01:01:47,913 TODAY. 1673 01:01:47,913 --> 01:01:49,248 WE DEVELOP INFRASTRUCTURE. 1674 01:01:49,248 --> 01:01:51,450 WE HAVE KEY PARTNERSHIPS. 1675 01:01:51,450 --> 01:01:54,620 WE HELP DEVELOP RAS. 1676 01:01:54,620 --> 01:01:58,124 THIS CONCEPT OF AUTHORIZATION 1677 01:01:58,124 --> 01:02:00,326 AND APPROVAL FOR AC STOWS DATA 1678 01:02:00,326 --> 01:02:02,628 WILL BE TRANSFORMATIVE AND KEY 1679 01:02:02,628 --> 01:02:04,263 TO OPERATING FEDERATED DATA 1680 01:02:04,263 --> 01:02:06,332 SYSTEMS AROUND CONTROLLED ACCESS 1681 01:02:06,332 --> 01:02:08,200 DATA, WE NEED TO KNOW WHO PEOPLE 1682 01:02:08,200 --> 01:02:08,968 ARE, WHAT RIGHTS AND 1683 01:02:08,968 --> 01:02:13,873 RESPONSIBILITIES THEY HAVE USING 1684 01:02:13,873 --> 01:02:14,173 DATASETS. 1685 01:02:14,173 --> 01:02:15,474 RAS PROVIDES THAT, NOW BEING 1686 01:02:15,474 --> 01:02:17,276 ADOPTED BY I THINK NEARLY A 1687 01:02:17,276 --> 01:02:20,112 DOZEN SYSTEMS. 1688 01:02:20,112 --> 01:02:24,817 SO THE MORE WE CAN DO THAT 1689 01:02:24,817 --> 01:02:27,453 BECOMES LEGO BLOCKS, THE MORE WE 1690 01:02:27,453 --> 01:02:28,854 CAN BUILD THIS INTEROPERABLE 1691 01:02:28,854 --> 01:02:30,890 SYSTEM. 1692 01:02:30,890 --> 01:02:33,659 WE HAVE ROLES IN GOVERNANCE, WE 1693 01:02:33,659 --> 01:02:36,061 HELP DO POLICY DEVELOPMENT, BOTH 1694 01:02:36,061 --> 01:02:37,830 WITHIN NIH AND HHS, AND AS I 1695 01:02:37,830 --> 01:02:39,765 TRIED TO REVIEW WITH ARTIFICIAL 1696 01:02:39,765 --> 01:02:40,699 INTELLIGENCE THERE'S SO MUCH 1697 01:02:40,699 --> 01:02:42,568 WORK GOING ON HERE, WE'RE TRYING 1698 01:02:42,568 --> 01:02:46,105 TO BE KEY PARTNERS AND SHARE OUR 1699 01:02:46,105 --> 01:02:47,907 EXPERTISE WITH CIT IN THE NIH 1700 01:02:47,907 --> 01:02:49,742 COMMUNITY THROUGH THINGS LIKE 1701 01:02:49,742 --> 01:02:51,644 OFFICE HOURS AND COMMUNITY 1702 01:02:51,644 --> 01:02:51,911 PRACTICE. 1703 01:02:51,911 --> 01:02:53,145 THOSE ARE MY FEW REMARKS. 1704 01:02:53,145 --> 01:02:54,814 I'M A FEW MINUTES OVER. 1705 01:02:54,814 --> 01:02:55,681 APOLOGIES FOR THAT. 1706 01:02:55,681 --> 01:02:58,717 BUT I THINK WE'VE GOT A RICH 1707 01:02:58,717 --> 01:03:00,386 AMOUNT OF INFORMATION ON THE 1708 01:03:00,386 --> 01:03:04,089 TABLE TO SHARE, TO TAKE TO 1709 01:03:04,089 --> 01:03:06,292 DISCUSSION. 1710 01:03:06,292 --> 01:03:13,499 I'LL STOP THERE. 1711 01:03:13,499 --> 01:03:18,671 >> WE HAVE MR. SHAFER AND DR. 1712 01:03:18,671 --> 01:03:20,206 PORTILLO TO LEAD THE DISCUSSION. 1713 01:03:20,206 --> 01:03:25,344 >> THANK YOU FOR AN INTERESTING 1714 01:03:25,344 --> 01:03:27,179 PRESENTATION, WORKING CLOSELY 1715 01:03:27,179 --> 01:03:27,446 TOGETHER. 1716 01:03:27,446 --> 01:03:28,948 AT MY INSTITUTION WE'RE 1717 01:03:28,948 --> 01:03:30,349 CONCERNED ABOUT COST, NOT 1718 01:03:30,349 --> 01:03:35,187 CONVINCED OF UTILITY OF DATA 1719 01:03:35,187 --> 01:03:37,790 SHARING AND MANAGEMENT. 1720 01:03:37,790 --> 01:03:40,960 HOW CAN WE IMPROVE ROI? 1721 01:03:40,960 --> 01:03:42,628 >> MAYBE I CAN TAKE A STAB. 1722 01:03:42,628 --> 01:03:45,798 >> ANY ONE OF THE THREE OF YOU, 1723 01:03:45,798 --> 01:03:46,131 YEAH. 1724 01:03:46,131 --> 01:03:46,432 >> SO -- 1725 01:03:46,432 --> 01:03:52,872 >> DO HOW DO WE GET THE SKEPTI? 1726 01:03:52,872 --> 01:03:55,908 >> ONE THING IS LOOK AT CORE 1727 01:03:55,908 --> 01:04:03,415 REPOSITORIES LIKE SRA, DATA 1728 01:04:03,415 --> 01:04:05,284 REDISTRIBUTION FOR A DECADE NOW. 1729 01:04:05,284 --> 01:04:06,385 ONE THING WE'VE OBSERVED OVER 1730 01:04:06,385 --> 01:04:08,587 THE LONG CYCLE OF FUNDING, 1731 01:04:08,587 --> 01:04:10,756 PERIODS OF LEAN AND RICH 1732 01:04:10,756 --> 01:04:12,191 FUNDING, WHEN FUNDING 1733 01:04:12,191 --> 01:04:12,958 OPPORTUNITIES ARE DIMINISHED 1734 01:04:12,958 --> 01:04:14,693 THROUGH FEDERAL -- CHANGES IN 1735 01:04:14,693 --> 01:04:16,228 FEDERAL PRIORITIES THERE'S A 1736 01:04:16,228 --> 01:04:18,664 SHIFT TO THE REUSE AND 1737 01:04:18,664 --> 01:04:19,632 INTERROGATION OF AVAILABLE DATA 1738 01:04:19,632 --> 01:04:20,599 THAT THE SCIENCE DOESN'T STOP 1739 01:04:20,599 --> 01:04:22,268 BUT IF PEOPLE DON'T HAVE THE 1740 01:04:22,268 --> 01:04:24,103 FUNDING TO GENERATE NEW 1741 01:04:24,103 --> 01:04:25,738 EXPERIMENTS THEY RECAST IT 1742 01:04:25,738 --> 01:04:27,506 LOOKING AT EXISTING DATASETS. 1743 01:04:27,506 --> 01:04:31,010 AND THAT'S ALSO AN OPPORTUNITY 1744 01:04:31,010 --> 01:04:32,244 FOR DEVELOPING INSTITUTIONS NOT 1745 01:04:32,244 --> 01:04:34,413 DEEPLY RESOURCED, AS WE HEARD 1746 01:04:34,413 --> 01:04:35,514 FROM DR. TABAK YESTERDAY, THEY 1747 01:04:35,514 --> 01:04:37,683 CAN JUMP IN AND IMMEDIATELY 1748 01:04:37,683 --> 01:04:39,018 START WORKING ON VALUABLE DATA 1749 01:04:39,018 --> 01:04:40,853 IN THEIR OWN QUESTIONS AND 1750 01:04:40,853 --> 01:04:43,055 PROBLEMS OF LOCAL PRIORITY 1751 01:04:43,055 --> 01:04:45,991 BECAUSE THE DATA IS AVAILABLE. 1752 01:04:45,991 --> 01:04:47,760 WHAT WE DON'T DO WELL IS 1753 01:04:47,760 --> 01:04:48,827 SHOWCASE THAT REUSE OF DATA. 1754 01:04:48,827 --> 01:04:51,263 WE LEAVE IT TO THE SUBMITTER TO 1755 01:04:51,263 --> 01:04:53,098 CITE THE DATASETS, AND THERE'S 1756 01:04:53,098 --> 01:04:54,867 PROBABLY MORE WE CAN DO TO SHOW 1757 01:04:54,867 --> 01:04:57,403 HOW DATASETS ARE BEING REUSED. 1758 01:04:57,403 --> 01:04:59,572 THAT'S IN A DOMAIN OF METRICS, 1759 01:04:59,572 --> 01:05:00,673 I'LL STOP THERE. 1760 01:05:00,673 --> 01:05:04,376 SUSAN OR SEAN, DO YOU HAVE OTHER 1761 01:05:04,376 --> 01:05:04,577 IDEAS? 1762 01:05:04,577 --> 01:05:09,315 >> YES, I COMPLETELY AGREE WITH 1763 01:05:09,315 --> 01:05:11,283 STEPHEN. 1764 01:05:11,283 --> 01:05:11,951 IT'S REALLY INSTANTIATED, MAKING 1765 01:05:11,951 --> 01:05:22,428 SURE THE DATA IS FINDSABLE, 1766 01:05:23,195 --> 01:05:27,366 CITEABLE, SO RESEARCHERS CAN -- 1767 01:05:27,366 --> 01:05:36,609 [ INAUDIBLE ] 1768 01:05:36,609 --> 01:05:42,948 WE HAVE A LOT OF WORK TO DO IN 1769 01:05:42,948 --> 01:05:50,155 THIS SPACE. 1770 01:05:50,155 --> 01:05:55,494 THAT MIGHT BE SOMETHING WE CAN 1771 01:05:55,494 --> 01:06:03,669 ALSO -- [ INAUDIBLE ] 1772 01:06:03,669 --> 01:06:06,071 FUNDING OPPORTUNITIES IS ANOTHER 1773 01:06:06,071 --> 01:06:10,643 WAY TO HELP THE COMMUNITY, WE'RE 1774 01:06:10,643 --> 01:06:13,512 GOING TO CREATE IT, TO PUSH FOR 1775 01:06:13,512 --> 01:06:13,946 THAT. 1776 01:06:13,946 --> 01:06:15,414 >> IT'S A TOUGH QUESTION. 1777 01:06:15,414 --> 01:06:25,924 I THINK ON ONE SIDE YOU'VE GOT 1778 01:06:29,328 --> 01:06:30,195 INCENTIVES, PROMOTION AND 1779 01:06:30,195 --> 01:06:32,898 TENURE, IN THE I.C. WORLD MY 1780 01:06:32,898 --> 01:06:37,503 PERSPECTIVE WHEN WE PUT FORTH 1781 01:06:37,503 --> 01:06:38,937 TOOLS THAT WE OFTEN -- WE'LL SAY 1782 01:06:38,937 --> 01:06:40,572 IF YOU USE THIS IT'S LESS 1783 01:06:40,572 --> 01:06:42,441 EXPENSIVE TO MANAGE DATA OR LESS 1784 01:06:42,441 --> 01:06:43,976 EXPENSIVE TO DO SOMETHING WITH 1785 01:06:43,976 --> 01:06:48,013 DATA, IN PRACTICE THAT ALWAYS 1786 01:06:48,013 --> 01:06:48,981 HASN'T BEEN TRUE. 1787 01:06:48,981 --> 01:06:50,849 LOOK HOW EXPENSIVE THAT IS. 1788 01:06:50,849 --> 01:06:51,950 SOMETHING WE'RE AWARE OF. 1789 01:06:51,950 --> 01:06:53,385 STEVE IS AWARE OF. 1790 01:06:53,385 --> 01:06:59,091 SOMETHING WE'RE LOOKING AT 1791 01:06:59,091 --> 01:06:59,758 CLOSELY, CYBER INFRASTRUCTURE, 1792 01:06:59,758 --> 01:07:01,193 MUST BE EFFICIENT. 1793 01:07:01,193 --> 01:07:06,198 WE WANT IT TO BE -- YOU KNOW, TO 1794 01:07:06,198 --> 01:07:13,005 HELP MAKE, YOU KNOW, WE'RE 1795 01:07:13,005 --> 01:07:14,406 WORKING ON TRYING TO THINK ABOUT 1796 01:07:14,406 --> 01:07:18,343 WHY THAT MAY OR MAY NOT 1797 01:07:18,343 --> 01:07:20,112 ACTUALLY -- I WILL SAY, THIS MAY 1798 01:07:20,112 --> 01:07:23,415 NOT BE THE OFFICIAL VIEW OF THE 1799 01:07:23,415 --> 01:07:25,818 NIH, BUT BUILDINGS ARE 1800 01:07:25,818 --> 01:07:26,785 EXPENSIVE. 1801 01:07:26,785 --> 01:07:30,823 CLOUD SPACE IS EXPENSIVE, 1802 01:07:30,823 --> 01:07:32,591 GENERATING DATA IS EXPENSIVE. 1803 01:07:32,591 --> 01:07:36,962 MAYBE WE NEED THINK ABOUT I.T. 1804 01:07:36,962 --> 01:07:38,797 AND I.T. INFRASTRUCTURE, MORE 1805 01:07:38,797 --> 01:07:41,366 LIKE A FACILITY THAN DIRECT 1806 01:07:41,366 --> 01:07:41,567 COST. 1807 01:07:41,567 --> 01:07:43,502 I THINK THAT'S A LOT OF 1808 01:07:43,502 --> 01:07:45,070 OPPORTUNITIES TOO TO THINK ABOUT 1809 01:07:45,070 --> 01:07:49,508 BUSINESS OF RESEARCH, AND HOW WE 1810 01:07:49,508 --> 01:07:56,048 SUPPORT I.T. INFRASTRUCTURE AND 1811 01:07:56,048 --> 01:07:57,616 COMPUTE. 1812 01:07:57,616 --> 01:07:59,685 >> SO, MY MAJOR QUESTION IS THIS 1813 01:07:59,685 --> 01:08:02,287 WAS SPONSORED BY DR. MOONEY'S 1814 01:08:02,287 --> 01:08:05,891 PRESENTATION, COMING FROM THE 1815 01:08:05,891 --> 01:08:10,162 COMMUNITY I THINK ABOUT SMALL 1816 01:08:10,162 --> 01:08:10,395 CLINICS. 1817 01:08:10,395 --> 01:08:14,199 I THINK ABOUT HEALTH 1818 01:08:14,199 --> 01:08:14,833 DEPARTMENTS. 1819 01:08:14,833 --> 01:08:15,834 HOW DOES THIS GET TRANSLATED 1820 01:08:15,834 --> 01:08:17,503 DOWN TO THAT LEVEL? 1821 01:08:17,503 --> 01:08:19,571 HOW DOES THE SUPPORT -- 1822 01:08:19,571 --> 01:08:23,542 EVERYBODY THAT'S BEING GENERATED 1823 01:08:23,542 --> 01:08:24,576 HERE, GET TRANSLATED TO THAT 1824 01:08:24,576 --> 01:08:26,111 LEVEL AND THE KIND OF SUPPORT 1825 01:08:26,111 --> 01:08:28,847 THAT THEY WOULD NEED? 1826 01:08:28,847 --> 01:08:32,151 >> SUSAN COULD BETTER ANSWER 1827 01:08:32,151 --> 01:08:33,886 SOMETHING, MY PREVIOUS TIME AT 1828 01:08:33,886 --> 01:08:37,723 THE UNIVERSITY OF WASHINGTON WE 1829 01:08:37,723 --> 01:08:46,799 WORKED A LOT WITH FQHCs AND 1830 01:08:46,799 --> 01:08:48,901 SMALL CLINICAL SITES, AND IT WAS 1831 01:08:48,901 --> 01:08:49,134 HARD. 1832 01:08:49,134 --> 01:08:51,537 IT WAS HARD TO GET RESEARCH INTO 1833 01:08:51,537 --> 01:08:53,272 THOSE ENVIRONMENTS. 1834 01:08:53,272 --> 01:08:58,744 THERE WAS OFTEN BARRIERS TO 1835 01:08:58,744 --> 01:09:00,412 IMPLEMENT. 1836 01:09:00,412 --> 01:09:03,015 AND ONCE WE RAN, IF THERE WAS 1837 01:09:03,015 --> 01:09:03,916 RESEARCH THAT WAS HAPPENING, OR 1838 01:09:03,916 --> 01:09:07,653 WE HAD AN AGREEMENT OF FUNDING, 1839 01:09:07,653 --> 01:09:08,754 WHATEVER, OFTENTIMES TECHNICAL 1840 01:09:08,754 --> 01:09:12,057 SKILLS WOULDN'T BE IN THAT SITE. 1841 01:09:12,057 --> 01:09:16,995 WE WOULD HAVE TO EMBED -- WE 1842 01:09:16,995 --> 01:09:19,398 WOULD EMBED PEOPLE UNDER HIPAA, 1843 01:09:19,398 --> 01:09:21,600 BUSINESS ASSOCIATES, DOING WORK 1844 01:09:21,600 --> 01:09:23,001 ON THAT. 1845 01:09:23,001 --> 01:09:25,304 HOW WE CAN HELP WORK WITH 1846 01:09:25,304 --> 01:09:28,807 SMALLER SITES AND A LOT OF 1847 01:09:28,807 --> 01:09:29,775 CHALLENGES AND BARRIERS TO, YOU 1848 01:09:29,775 --> 01:09:35,147 KNOW, TO DOING THAT. 1849 01:09:35,147 --> 01:09:36,882 I THINK IT'S REALLY IMPORTANT, 1850 01:09:36,882 --> 01:09:42,154 VENDORS PLAY A ROLE HERE, IN THE 1851 01:09:42,154 --> 01:09:43,488 OLD DAYS, THE MEDICAL RECORD WAS 1852 01:09:43,488 --> 01:09:46,859 ON THE PHONE, RIGHT? 1853 01:09:46,859 --> 01:09:47,726 CONSUMER HEALTH DATA, AN 1854 01:09:47,726 --> 01:09:51,563 INTERESTING THING TO TALK ABOUT 1855 01:09:51,563 --> 01:09:52,130 TOO. 1856 01:09:52,130 --> 01:09:54,867 BUT I REMEMBER -- I GOT MY 1857 01:09:54,867 --> 01:09:58,904 COVID-19 VACCINE, IN A 1858 01:09:58,904 --> 01:10:00,439 DRIVE-THROUGH CLINIC, A PARKING 1859 01:10:00,439 --> 01:10:01,440 LOT, MY WATCHED BUZZED ME AND 1860 01:10:01,440 --> 01:10:03,408 SAID YOU JUST GOT A VACCINE FOR 1861 01:10:03,408 --> 01:10:03,709 COVID. 1862 01:10:03,709 --> 01:10:12,584 WHOA, HOW DID THAT HAPPEN? 1863 01:10:12,584 --> 01:10:15,988 COMMUNITY HEALTH SUPPORT AND 1864 01:10:15,988 --> 01:10:17,256 PERFORMANCE. 1865 01:10:17,256 --> 01:10:17,856 >> YEAH, THAT'S WELL SAID. 1866 01:10:17,856 --> 01:10:21,860 ONE OF THE THINGS THAT WE'RE 1867 01:10:21,860 --> 01:10:30,302 DOING IS THE CARE NETWORK, DR. 1868 01:10:30,302 --> 01:10:31,603 BERTAGNOLLI, INITIATING, WORKED 1869 01:10:31,603 --> 01:10:36,541 WITH RURAL SITES, CLINICAL SITES 1870 01:10:36,541 --> 01:10:37,776 TO INSTANTIATE CLINICAL TRIALS, 1871 01:10:37,776 --> 01:10:38,944 ACROSS THE UNITED STATES. 1872 01:10:38,944 --> 01:10:49,421 WE'RE LOOK AT DATA AND I.C. 1873 01:10:50,088 --> 01:10:59,731 INFRASTRUCTURE NEEDED FOR 1874 01:10:59,731 --> 01:11:00,098 COMMUNITY. 1875 01:11:00,098 --> 01:11:03,769 THE RURAL COMMUNITIES 1876 01:11:03,769 --> 01:11:11,810 PARTICIPATED IN DATA SCIENCE. 1877 01:11:11,810 --> 01:11:12,444 THROUGH TRAININGS -- [ INAUDIBLE 1878 01:11:12,444 --> 01:11:21,086 ] 1879 01:11:21,086 --> 01:11:24,489 "ALL OF US" TOO HELP 1880 01:11:24,489 --> 01:11:25,123 TRANSMISSION OF BIONETWORK, SO 1881 01:11:25,123 --> 01:11:30,262 THERE ARE THINGS WE CAN DO TO 1882 01:11:30,262 --> 01:11:30,896 INCENTIVIZE, PROVIDE TRADITIONAL 1883 01:11:30,896 --> 01:11:32,597 RESOURCES FOR THOSE SITES AND 1884 01:11:32,597 --> 01:11:35,367 FOR THOSE COMMUNITIES TO PULLEY 1885 01:11:35,367 --> 01:11:38,971 PARTICIPATE IN RESEARCH AND 1886 01:11:38,971 --> 01:11:39,404 STUDIES. 1887 01:11:39,404 --> 01:11:41,707 >> I WOULD SUGGEST, YOU KNOW, 1888 01:11:41,707 --> 01:11:44,343 THAT THIS, YOU KNOW, YOUR GROUP 1889 01:11:44,343 --> 01:11:46,845 TAKE ON A DEMONSTRATION PROJECT, 1890 01:11:46,845 --> 01:11:50,682 TAKING ON EITHER A RULE SETTING 1891 01:11:50,682 --> 01:11:53,185 OR FQHC TO SEE HOW THIS WOULD 1892 01:11:53,185 --> 01:11:53,585 REALLY TRANSLATE. 1893 01:11:53,585 --> 01:11:58,457 I THINK IT COULD BE A WIN-WIN 1894 01:11:58,457 --> 01:11:59,324 SITUATION BECAUSE WE'RE TALKING 1895 01:11:59,324 --> 01:12:00,759 ABOUT DATA PERHAPS COLLECTED AT 1896 01:12:00,759 --> 01:12:03,061 THE RURAL SITE THAT COULD BE 1897 01:12:03,061 --> 01:12:05,464 PART OF THE DATA SHARING, AT THE 1898 01:12:05,464 --> 01:12:08,734 SAME TIME THEY WOULD WIN BY THE 1899 01:12:08,734 --> 01:12:11,370 FACT OF, YOU KNOW, SOME 1900 01:12:11,370 --> 01:12:12,537 APPLICATIONS THEY DON'T HAVE. 1901 01:12:12,537 --> 01:12:13,872 >> I WOULD LOVE TO TALK ABOUT 1902 01:12:13,872 --> 01:12:18,043 SOME OF THE WORK WE'RE DOING CIT 1903 01:12:18,043 --> 01:12:24,649 AND A FEW OTHERS, ON EXACTLY 1904 01:12:24,649 --> 01:12:24,850 THAT. 1905 01:12:24,850 --> 01:12:31,923 [ INAUDIBLE ] 1906 01:12:31,923 --> 01:12:34,760 >> ANOTHER COMMENT, MANY YEARS 1907 01:12:34,760 --> 01:12:40,599 AGO I DID A TALK, FEDERAL HEALTH 1908 01:12:40,599 --> 01:12:42,000 CORPORATION, ORGANIZATION WITH 1909 01:12:42,000 --> 01:12:43,535 THE TRIBES OF ALASKA, THERE'S 1910 01:12:43,535 --> 01:12:47,139 LIKE 250 OF THEM. 1911 01:12:47,139 --> 01:12:48,340 SONG THAT I DIDN'T APPRECIATE 1912 01:12:48,340 --> 01:12:50,409 BEFORE I GAVE THAT TALK IS THAT 1913 01:12:50,409 --> 01:12:55,013 A LOT OF THE CHALLENGES THAT WE 1914 01:12:55,013 --> 01:12:56,982 DEAL WITH IN BIOMEDICAL RESEARCH 1915 01:12:56,982 --> 01:12:59,718 HAVE NO RELEVANCE TO THEM. 1916 01:12:59,718 --> 01:13:02,888 THE KINDS OF PROBLEMS THEY FACE 1917 01:13:02,888 --> 01:13:05,390 WAS THEY HAVE -- THEY HAVE 1918 01:13:05,390 --> 01:13:06,825 REGIONAL SITES. 1919 01:13:06,825 --> 01:13:08,493 THEY HAVE A PROBLEM, A PERSON 1920 01:13:08,493 --> 01:13:10,996 MAY OR MAY NOT BE A DOCTOR WHO 1921 01:13:10,996 --> 01:13:13,398 CAN USE THE PHONE AND WORK WITH 1922 01:13:13,398 --> 01:13:17,002 A PATIENT AND A KEY DECISION 1923 01:13:17,002 --> 01:13:19,538 THEY HAVE TO MAKE, GET THE 1924 01:13:19,538 --> 01:13:22,140 PATIENT TO THE HOSPITAL, AND 1925 01:13:22,140 --> 01:13:24,242 THOSE KINDS OF PROBLEMS THAT 1926 01:13:24,242 --> 01:13:28,947 THEY WERE LOOKING AT IN HEALTH 1927 01:13:28,947 --> 01:13:30,248 CARE WERE VERY DIFFERENT THAN 1928 01:13:30,248 --> 01:13:34,286 THE PROBLEMS WE'RE SOLVING IN 1929 01:13:34,286 --> 01:13:35,487 INFORMATICS, MAKES ME WONDER 1930 01:13:35,487 --> 01:13:36,688 WHETHER SPECIAL POPULATIONS WE 1931 01:13:36,688 --> 01:13:39,324 LOOK AT THAT HAVE TROUBLE 1932 01:13:39,324 --> 01:13:41,159 ACCESSING AREN'T ONE PROBLEM TO 1933 01:13:41,159 --> 01:13:41,827 SOLVE BUT MANY DIFFERENT 1934 01:13:41,827 --> 01:13:45,897 PROBLEMS TO SOLVE, ALL VERY 1935 01:13:45,897 --> 01:13:48,300 DIFFICULT AND DIFFERENT. 1936 01:13:48,300 --> 01:13:51,903 SOMETIMES IN RESEARCH OUR STUDY 1937 01:13:51,903 --> 01:13:53,638 SECTIONS LOOK AT IMPACT 1938 01:13:53,638 --> 01:13:54,206 STATEMENT SIGNIFICANCE, 1939 01:13:54,206 --> 01:13:57,876 DIABETES, THIS PERCENTAGE OF 1940 01:13:57,876 --> 01:14:01,213 POPULATION, HUGE, AND SOME OF 1941 01:14:01,213 --> 01:14:02,714 THESE PROBLEMS ARE SMALL AND 1942 01:14:02,714 --> 01:14:04,549 REALLY IMPORTANT TO ADDRESS. 1943 01:14:04,549 --> 01:14:06,017 AS RESEARCHERS, WE MIGHT THINK 1944 01:14:06,017 --> 01:14:09,054 ABOUT THAT, ABOUT THE CHALLENGES 1945 01:14:09,054 --> 01:14:11,123 THAT SOME POPULATIONS THAT ARE 1946 01:14:11,123 --> 01:14:11,923 ARE INACCESSIBLE TO RESEARCH 1947 01:14:11,923 --> 01:14:13,024 MIGHT HAVE VERY DIFFERENT 1948 01:14:13,024 --> 01:14:18,163 PROBLEMS TO SOLVE IN INFORMATICS 1949 01:14:18,163 --> 01:14:19,364 THAN WE DO. 1950 01:14:19,364 --> 01:14:20,699 >> I'LL OFFER ONE MORE IDEA 1951 01:14:20,699 --> 01:14:21,233 HERE. 1952 01:14:21,233 --> 01:14:24,202 THIS KIND OF FEEDBACK THAT SEAN 1953 01:14:24,202 --> 01:14:27,706 AND SUSAN ARE DESCRIBING MIGHT 1954 01:14:27,706 --> 01:14:31,309 BE AN OPPORTUNITY TO PILOT IN 1955 01:14:31,309 --> 01:14:33,178 OUR NATIONAL NETWORK WITH NODES 1956 01:14:33,178 --> 01:14:34,279 IN SOME RURAL AREAS. 1957 01:14:34,279 --> 01:14:37,883 I DON'T KNOW HOW CONSISTENTLY 1958 01:14:37,883 --> 01:14:44,856 ALIGNED THE NODE DISTRIBUTION IS 1959 01:14:44,856 --> 01:14:46,958 IN THE NATIONAL NETWORK. 1960 01:14:46,958 --> 01:14:49,995 BUT THE NETWORK IS OUTWARD BOUND 1961 01:14:49,995 --> 01:14:51,863 PUSHING OUT INFORMATION FROM NLM 1962 01:14:51,863 --> 01:14:55,033 BUT COULD BE USE AS A 1963 01:14:55,033 --> 01:14:57,002 PROBLEM-GATHERING TOOL. 1964 01:14:57,002 --> 01:14:58,670 LARRY TABAK YESTERDAY SAID AS 1965 01:14:58,670 --> 01:15:01,706 SEAN OBSERVED A LONG TAIL OF 1966 01:15:01,706 --> 01:15:02,807 PROBLEMS THAT YOU'RE SEEING IN 1967 01:15:02,807 --> 01:15:03,808 RURAL COMMUNITIES AND THERE'S 1968 01:15:03,808 --> 01:15:04,676 NOT ONE SOLUTION. 1969 01:15:04,676 --> 01:15:07,546 THERE'S MANY BUT HOW DO WE 1970 01:15:07,546 --> 01:15:08,813 CREATE A NETWORK TO GATHER THAT 1971 01:15:08,813 --> 01:15:10,916 IS SOMETHING TO LOOK AT AS WELL 1972 01:15:10,916 --> 01:15:12,450 BECAUSE WE'RE REIMAGINING THE 1973 01:15:12,450 --> 01:15:13,919 NEXT FIVE-YEAR PROGRAM FOR THE 1974 01:15:13,919 --> 01:15:24,229 NATIONAL NETWORK. 1975 01:15:26,131 --> 01:15:28,033 >> THE PROBLEM, THAT PROBLEM IS 1976 01:15:28,033 --> 01:15:31,169 VERY SIMILAR TO A LOT OF THE 1977 01:15:31,169 --> 01:15:38,176 MILITARY PROBLEMS. 1978 01:15:38,176 --> 01:15:41,012 SOME DON'T HAVE -- [ INAUDIBLE 1979 01:15:41,012 --> 01:15:41,246 ]. 1980 01:15:41,246 --> 01:15:44,683 A LOT OF SMALL POPULATIONS IN 1981 01:15:44,683 --> 01:15:47,052 AGGREGATE DO ROLL UP TO A 1982 01:15:47,052 --> 01:15:49,688 CERTAIN SET OF PROBLEMS, ALSO 1983 01:15:49,688 --> 01:15:51,890 HAVING LIVED ON GUAM FOR TWO 1984 01:15:51,890 --> 01:16:01,266 YEARS, IT'S ONE PIXEL ON A MAP. 1985 01:16:01,266 --> 01:16:03,134 BUT THOSE PROBLEMS, THEY REALLY 1986 01:16:03,134 --> 01:16:05,637 DON'T WORK WELL, THE CLASS OF 1987 01:16:05,637 --> 01:16:09,608 PROBLEMS THAT PEOPLE IN LARGE 1988 01:16:09,608 --> 01:16:11,009 METROPOLITAN AREAS, OKAY? 1989 01:16:11,009 --> 01:16:14,746 ANYBODY HERE LIVE OUTSIDE A 1990 01:16:14,746 --> 01:16:16,181 LARGE METROPOLITAN ZIP CODE? 1991 01:16:16,181 --> 01:16:16,514 CRICKETS. 1992 01:16:16,514 --> 01:16:24,189 THAT MIGHT BE A REPRESENTATION. 1993 01:16:24,189 --> 01:16:24,789 >> EXCELLENT. 1994 01:16:24,789 --> 01:16:27,692 FIRST OF ALL, WONDERFUL 1995 01:16:27,692 --> 01:16:30,762 PRESENTATION, ALL THREE, A REAL 1996 01:16:30,762 --> 01:16:36,534 TOUR DE FORCE, KUDOS FOR THE 1997 01:16:36,534 --> 01:16:37,035 ACTIVITY. 1998 01:16:37,035 --> 01:16:39,838 RESEARCHERS MOVED TO TRYING TO 1999 01:16:39,838 --> 01:16:41,906 REUSE DATA I FIND RELUCTANCE TO 2000 01:16:41,906 --> 01:16:43,308 GET THEIR HANDS DIRTY WITH 2001 01:16:43,308 --> 01:16:45,477 UNDERSTANDING THE MEANING OF THE 2002 01:16:45,477 --> 01:16:46,745 DATA, METADATA, PROVENANCE OF 2003 01:16:46,745 --> 01:16:49,714 THE DATA, AND INSTEAD OF RELYING 2004 01:16:49,714 --> 01:16:51,283 ON ANALYSTS WHO CAN WORK WITH 2005 01:16:51,283 --> 01:16:53,618 DATA AND TURN IT INTO THE 2006 01:16:53,618 --> 01:16:55,387 SPREADSHEET THEY WANT, AND 2007 01:16:55,387 --> 01:16:57,589 THERE'S OFTEN A DISCONNECT 2008 01:16:57,589 --> 01:16:58,790 BETWEEN WHAT THE ANALYSTS 2009 01:16:58,790 --> 01:17:00,625 UNDERSTAND IS A RESEARCH 2010 01:17:00,625 --> 01:17:01,860 QUESTION, AND WHAT THE 2011 01:17:01,860 --> 01:17:03,161 RESEARCHERS THINK THE ANALYSTS 2012 01:17:03,161 --> 01:17:07,098 ARE GIVING THEM. 2013 01:17:07,098 --> 01:17:08,099 IT'S OFTEN UNRECOGNIZED 2014 01:17:08,099 --> 01:17:08,400 DISCONNECT. 2015 01:17:08,400 --> 01:17:12,370 WE HAVE ENOUGH DATA SOMETIMES IT 2016 01:17:12,370 --> 01:17:13,138 BECOMES NOISE. 2017 01:17:13,138 --> 01:17:17,709 NOW MOVING TO THIS IDEA OF THE 2018 01:17:17,709 --> 01:17:19,911 ENCLAVE, WHEN WE'RE MOVING AND 2019 01:17:19,911 --> 01:17:22,647 EXPECTING A RESEARCHER TO GET IN 2020 01:17:22,647 --> 01:17:23,214 THERE THEMSELVES NOT ONLY 2021 01:17:23,214 --> 01:17:25,216 EXTRACT AND DEAL WITH DATA BUT 2022 01:17:25,216 --> 01:17:26,418 ANALYZE IT, IN AN ENVIRONMENT 2023 01:17:26,418 --> 01:17:27,819 THAT MAY NOT BE FAMILIAR TO 2024 01:17:27,819 --> 01:17:29,387 THEM, WONDERING WHAT YOU'RE 2025 01:17:29,387 --> 01:17:33,224 DOING TO TRY TO HELP GET THE 2026 01:17:33,224 --> 01:17:35,493 RESEARCHERS TO OVERCOME THAT, 2027 01:17:35,493 --> 01:17:37,896 YOU KNOW, ENERGY HUMP. 2028 01:17:37,896 --> 01:17:38,997 THERE'S SMART PEOPLE, THEY 2029 01:17:38,997 --> 01:17:39,864 LEARNED A LOT, THEY CAN LEARN 2030 01:17:39,864 --> 01:17:42,033 HOW TO DO THIS BUT I FIND 2031 01:17:42,033 --> 01:17:44,369 RESISTANCE TO MOVING OUT OF THE 2032 01:17:44,369 --> 01:17:46,638 COMFORT ZONE AND GETTING IN AND 2033 01:17:46,638 --> 01:17:49,708 WORKING THAT, TRUE HERE AT NIH 2034 01:17:49,708 --> 01:17:51,042 WITH INTRAMURAL RESEARCHERS, 2035 01:17:51,042 --> 01:17:52,610 TRUE AT UAB, AND I'LL BET IT'S 2036 01:17:52,610 --> 01:17:54,212 TRUE IN A LOT OF PLACES. 2037 01:17:54,212 --> 01:17:55,513 HAVE YOU THOUGHT ABOUT HOW 2038 01:17:55,513 --> 01:17:56,514 YOU'RE GOING TO HELP PEOPLE, 2039 01:17:56,514 --> 01:17:57,682 YOU'RE PUTTING THINGS OUT THERE 2040 01:17:57,682 --> 01:17:59,918 FOR THEM, HOW ARE YOU GOING TO 2041 01:17:59,918 --> 01:18:02,954 GET THEM OVER THAT HUMP TO GET 2042 01:18:02,954 --> 01:18:03,788 THEM WORKING WITH IT? 2043 01:18:03,788 --> 01:18:06,925 >>> AND LET ME SAY, I GAVE AWAY 2044 01:18:06,925 --> 01:18:08,526 A THOUSAND DOLLAR PRIZE FOR 2045 01:18:08,526 --> 01:18:10,395 PEOPLE ALL THEY HAD TO DO WAS 2046 01:18:10,395 --> 01:18:13,698 DOWNLOAD SOME DATA AND WRITE A 2047 01:18:13,698 --> 01:18:15,433 ONE-PAGE ABSTRACT, I GAVE AWAY 2048 01:18:15,433 --> 01:18:19,170 THREE PRIZES, I GOT THREE 2049 01:18:19,170 --> 01:18:19,938 APPLICATIONS. 2050 01:18:19,938 --> 01:18:22,173 SO EVERYBODY WON. 2051 01:18:22,173 --> 01:18:23,241 EVERYBODY'S A WINNER. 2052 01:18:23,241 --> 01:18:24,809 EXCEPT ME, I COULDN'T GET 2053 01:18:24,809 --> 01:18:28,413 PEOPLE -- ALL YOU HAD TO DO WAS 2054 01:18:28,413 --> 01:18:31,349 GO IN i2b2 AND WRITE A 2055 01:18:31,349 --> 01:18:32,684 ONE-PAGE ABSTRACT, COULDN'T GET 2056 01:18:32,684 --> 01:18:37,155 PEOPLE TO MAKE THAT EFFORT. 2057 01:18:37,155 --> 01:18:42,861 >> I THINK OUR GOAL IS TO 2058 01:18:42,861 --> 01:18:44,062 UNDERSTAND THE SCIENTIFIC 2059 01:18:44,062 --> 01:18:51,403 COMMUNITY, EVERYBODY HAS THEIR 2060 01:18:51,403 --> 01:18:57,409 OWN TOOLS, JUPYTER NOTEBOOK, PIE 2061 01:18:57,409 --> 01:18:58,743 PYTHON, SOME USE GALAXY. 2062 01:18:58,743 --> 01:19:00,178 THE BEST IS UNDERSTAND WHAT THE 2063 01:19:00,178 --> 01:19:01,713 PLATFORMS ARE THEY USE AND 2064 01:19:01,713 --> 01:19:05,216 PROVIDE IT TO THEM TO MAKE IT 2065 01:19:05,216 --> 01:19:13,057 SEAMLESS TO GO INTO AN ENCLAVE 2066 01:19:13,057 --> 01:19:13,358 ENVIRONMENT. 2067 01:19:13,358 --> 01:19:23,835 >> (INAUDIBLE) PEOPLE LIKE 2068 01:19:30,275 --> 01:19:32,410 YOU'RE DESCRIBING, ANALYSTS, 2069 01:19:32,410 --> 01:19:33,611 RESEARCHERS, MAYBE RESEARCHERS, 2070 01:19:33,611 --> 01:19:37,515 TO DEVELOP SOFTWARE THAT WILL 2071 01:19:37,515 --> 01:19:41,352 HELP ALLEVIATE THAT PROBLEM, 2072 01:19:41,352 --> 01:19:47,492 IT'S REALLY BRINGING TOGETHER TO 2073 01:19:47,492 --> 01:19:48,059 THE ACADEMIC SOFTWARE 2074 01:19:48,059 --> 01:19:57,035 (INAUDIBLE) TO THINK ABOUT 2075 01:19:57,035 --> 01:19:57,836 SOFTWARE DESIGN. 2076 01:19:57,836 --> 01:20:00,438 SO THIS IS A GREAT PROGRAM TO 2077 01:20:00,438 --> 01:20:09,214 START TO ADDRESS THAT PROBLEM. 2078 01:20:09,214 --> 01:20:10,081 (INAUDIBLE) COMMUNITY DRIVEN, 2079 01:20:10,081 --> 01:20:17,956 HAS A LOT OF IDEAS, MODULARITY, 2080 01:20:17,956 --> 01:20:22,227 THE OTHER PROBLEM, NIH WORKING 2081 01:20:22,227 --> 01:20:25,730 GROUP, IDeA STATE, RESEARCHER, 2082 01:20:25,730 --> 01:20:29,434 SOFTWARE, AWARDS WERE RESEARCH 2083 01:20:29,434 --> 01:20:37,308 ENGINEER, P.I., SALARY, TRAVEL, 2084 01:20:37,308 --> 01:20:38,943 CAREERS, TO HELP THEM TRANSITION 2085 01:20:38,943 --> 01:20:45,283 TO WHAT MIGHT BE MORE R01, IT'S 2086 01:20:45,283 --> 01:20:48,152 REALLY A PROGRAM TO SUPPORT 2087 01:20:48,152 --> 01:20:58,663 P.I.s THEMSELVES WHO WOULD NOT 2088 01:21:00,865 --> 01:21:11,242 BE SUPPORTED, (INAUDIBLE). 2089 01:21:11,242 --> 01:21:13,545 YEAH, SO THIS IS TWO AREAS WE 2090 01:21:13,545 --> 01:21:15,480 REALLY HAVE TO RECKON WITH, 2091 01:21:15,480 --> 01:21:25,924 WE'RE TRYING TO SOLVE IT. 2092 01:21:26,724 --> 01:21:28,760 DATA REUSE, PRIZE CHALLENGING. 2093 01:21:28,760 --> 01:21:30,962 >> WE HAVE A SIMILAR ISSUE IN 2094 01:21:30,962 --> 01:21:33,131 DoD WITH DATA, IT'S NOT -- I'M 2095 01:21:33,131 --> 01:21:36,334 SURE WE HAVE IT ON THE RESEARCH 2096 01:21:36,334 --> 01:21:39,170 SIDE, BUT JUST ON THE 2097 01:21:39,170 --> 01:21:41,239 OPERATIONAL SIDE I'M INVOLVED 2098 01:21:41,239 --> 01:21:43,608 WITH THREE SERVICES, DIFFERENT 2099 01:21:43,608 --> 01:21:47,478 DATA, I'M 100% CERTAIN THAT THE 2100 01:21:47,478 --> 01:21:50,214 WAY THEY FILL THEIR DATA IS 100% 2101 01:21:50,214 --> 01:21:53,384 ACCURATE FOR THE WAY THEY FILL 2102 01:21:53,384 --> 01:21:54,919 THEIR DATA, 100% WHEN THE DATA 2103 01:21:54,919 --> 01:21:57,855 IS PUT TOGETHER AND THEY ROLL IT 2104 01:21:57,855 --> 01:21:59,724 INTO SOMETHING USED AT MOST 2105 01:21:59,724 --> 01:22:01,492 SENIOR PART OF THE UNITED STATES 2106 01:22:01,492 --> 01:22:02,260 GOVERNMENT FOR DECISIONS ON 2107 01:22:02,260 --> 01:22:04,228 OPERATIONAL ISSUES THAT IT'S NOT 2108 01:22:04,228 --> 01:22:05,630 100% ACCURATE TO THE WAY IT'S 2109 01:22:05,630 --> 01:22:07,832 GOING TO BE INTERPRETED. 2110 01:22:07,832 --> 01:22:10,868 AND SO I ACTUALLY HAVE A COLONEL 2111 01:22:10,868 --> 01:22:13,605 RIGHT NOW WORKING ON THIS FOR ME 2112 01:22:13,605 --> 01:22:16,441 TO LOOK INTO THAT DATA, HOW ARE 2113 01:22:16,441 --> 01:22:18,009 WE GOING TO BE IDENTIFYING THAT 2114 01:22:18,009 --> 01:22:23,314 DATA, AND HOW ARE WE MAKING SURE 2115 01:22:23,314 --> 01:22:28,252 THAT IT'S CONSISTENTLY APPLIED 2116 01:22:28,252 --> 01:22:29,120 WITH INCONSISTENT MECHANISMS 2117 01:22:29,120 --> 01:22:29,887 FROM DIFFERENT SERVICES. 2118 01:22:29,887 --> 01:22:32,290 ONE OF THE WAYS WE TALK ABOUT 2119 01:22:32,290 --> 01:22:33,691 INTERNALLY WITH MY GROUP IS PART 2120 01:22:33,691 --> 01:22:36,794 IS THE DOCUMENTATION OF THE 2121 01:22:36,794 --> 01:22:38,963 ASSUMPTIONS HOW THE DATA IS 2122 01:22:38,963 --> 01:22:39,197 POLLED. 2123 01:22:39,197 --> 01:22:40,198 I DON'T KNOW IF THAT'S HAPPENS 2124 01:22:40,198 --> 01:22:42,033 ON THE RESEARCH SIDE BECAUSE I'M 2125 01:22:42,033 --> 01:22:43,701 NOT A RESEARCHER THE ASSUMPTION 2126 01:22:43,701 --> 01:22:45,003 OF HOW THE DATA IS POLLED 2127 01:22:45,003 --> 01:22:48,272 DOESN'T FLOW WITH THE DATA AS 2128 01:22:48,272 --> 01:22:49,807 YOU CONSOLIDATE INTO LARGE 2129 01:22:49,807 --> 01:22:50,308 DATABASES. 2130 01:22:50,308 --> 01:22:51,576 THEREFORE EVEN IF YOU DID ROLL 2131 01:22:51,576 --> 01:22:53,177 UP YOUR HANDS AND GET DIRTY TO 2132 01:22:53,177 --> 01:22:55,046 WRITE A PAPER YOU HAVE NOTHING 2133 01:22:55,046 --> 01:22:59,450 TO WRITE ABOUT BECAUSE YOU DON'T 2134 01:22:59,450 --> 01:23:00,885 KNOW THE UNDERLYING ASSUMPTION. 2135 01:23:00,885 --> 01:23:02,820 THE WAY THE ARMY MIGHT COUNT 2136 01:23:02,820 --> 01:23:03,955 PEOPLE, THE WAY THE NAVY MIGHT 2137 01:23:03,955 --> 01:23:05,890 COUNT, THE WAY I MIGHT COUNT 2138 01:23:05,890 --> 01:23:07,425 PEOPLE IN A PERSONNEL DATABASE 2139 01:23:07,425 --> 01:23:11,562 WILL BE TOTALLY DEAF DIFFERENT 2140 01:23:11,562 --> 01:23:12,597 THAN THE WAY YOU'LL ASSUME IT 2141 01:23:12,597 --> 01:23:14,232 WAS COUNTED AS THE RESEARCHER 2142 01:23:14,232 --> 01:23:15,066 PUT IT TOGETHER. 2143 01:23:15,066 --> 01:23:19,804 I WANTED TO THROW THAT OUT. 2144 01:23:19,804 --> 01:23:26,277 WE HAVE DR. KATZ AND I THINK 2145 01:23:26,277 --> 01:23:27,145 WE'RE OVER TIME. 2146 01:23:27,145 --> 01:23:31,315 SOUNDS LIKE THERE'S A NEED FOR 2147 01:23:31,315 --> 01:23:32,183 SOCIAL TECHNICAL EMBEDDING, 2148 01:23:32,183 --> 01:23:33,851 PEOPLE UNDERSTANDING THAT PART 2149 01:23:33,851 --> 01:23:34,152 OF IT. 2150 01:23:34,152 --> 01:23:36,354 >> I WANTED TO BUILD ON WHAT 2151 01:23:36,354 --> 01:23:39,190 CARMEN WAS TALKING ABOUT. 2152 01:23:39,190 --> 01:23:40,925 IT'S NOT JUST THE FQHCs, THE 2153 01:23:40,925 --> 01:23:42,994 PURPOSE OF ALL OF WHAT WE'RE 2154 01:23:42,994 --> 01:23:45,630 DOING IS TO IMPROVE THE QUALITY 2155 01:23:45,630 --> 01:23:47,832 OF HEALTH CARE THAT PEOPLE ARE 2156 01:23:47,832 --> 01:23:49,434 RECEIVING. 2157 01:23:49,434 --> 01:23:52,970 AND WHILE DATA SCIENCE HAS MADE 2158 01:23:52,970 --> 01:23:55,173 TREMENDOUS -- SORT OF AMAZING, 2159 01:23:55,173 --> 01:23:57,375 YOU KNOW, MOVES FORWARD MOST 2160 01:23:57,375 --> 01:23:59,644 CLINICAL INTERACTIONS ARE STILL 2161 01:23:59,644 --> 01:24:03,247 A DOCTOR, A NURSE, P.A., IN A 2162 01:24:03,247 --> 01:24:04,415 ROOM WITH PATIENTS. 2163 01:24:04,415 --> 01:24:07,618 AND I MEAN I THINK THAT 2164 01:24:07,618 --> 01:24:11,789 PubMed IS EXAMPLE OF A 2165 01:24:11,789 --> 01:24:13,558 REALLY SUCCESSFUL NLM PRODUCT 2166 01:24:13,558 --> 01:24:15,760 THAT IS ACTUALLY USED. 2167 01:24:15,760 --> 01:24:16,728 IT'S PROBABLY NOT USED AS MUCH 2168 01:24:16,728 --> 01:24:18,596 AS IT SHOULD BE USED. 2169 01:24:18,596 --> 01:24:20,998 I WOULD GUESS WE'RE STILL 80% 2170 01:24:20,998 --> 01:24:27,138 CLINICAL DECISIONS MADE WITHOUT 2171 01:24:27,138 --> 01:24:27,872 ANYBODY CONSULTINGYBG. 2172 01:24:27,872 --> 01:24:31,709 BUT I THINK PubMed IS AN 2173 01:24:31,709 --> 01:24:33,778 INCREDIBLE SUCCESS BECAUSE IT 2174 01:24:33,778 --> 01:24:37,515 ALLOWS A CLINICIAN TO FIND THE 2175 01:24:37,515 --> 01:24:43,588 BEST EVIDENCE AND IT'S FREE, YU 2176 01:24:43,588 --> 01:24:44,722 DON'T NEED A SUBSCRIPTION. 2177 01:24:44,722 --> 01:24:47,458 CHALLENGE IN THE NEXT PHASE, TO 2178 01:24:47,458 --> 01:24:50,928 SAY, OKAY, HOW DOES THIS 2179 01:24:50,928 --> 01:24:52,463 TRANSLATE TO THE WORK THAT 2180 01:24:52,463 --> 01:24:53,898 NURSES AND DOCTORS AND OTHERS 2181 01:24:53,898 --> 01:24:56,300 ARE DOING IN CLINICS AND 2182 01:24:56,300 --> 01:24:59,470 HOSPITALS, WHETHER IN A RULE OR 2183 01:24:59,470 --> 01:25:01,773 METRO AREA, HOW DOES THIS HELP? 2184 01:25:01,773 --> 01:25:04,976 AGAIN, ALWAYS GOING TO BE A 2185 01:25:04,976 --> 01:25:05,743 LACK. 2186 01:25:05,743 --> 01:25:08,446 THAT'S OKAY. 2187 01:25:08,446 --> 01:25:09,247 SCIENCE GOES FIRST. 2188 01:25:09,247 --> 01:25:11,649 BUT AT LEAST AS A CLINICIAN 2189 01:25:11,649 --> 01:25:14,919 LISTENING TO THE DATA IT FEELS 2190 01:25:14,919 --> 01:25:17,421 LIKE A VERY LARGE GAP BETWEEN 2191 01:25:17,421 --> 01:25:20,057 WHAT WE'RE TALKING ABOUT AND HOW 2192 01:25:20,057 --> 01:25:21,592 I WOULD IMAGINE APPLYING 2193 01:25:21,592 --> 01:25:23,928 ANYTHING TO THE PATIENTS I SEE. 2194 01:25:23,928 --> 01:25:26,197 AND I'M NOT -- I THINK IT'S 2195 01:25:26,197 --> 01:25:27,298 WORTH THINKING ABOUT, YOU KNOW, 2196 01:25:27,298 --> 01:25:33,237 WHAT IS OVER THE NEXT FIVE TO 2197 01:25:33,237 --> 01:25:37,175 TEN YEARS AS THE DATA WORK GOES 2198 01:25:37,175 --> 01:25:39,577 FORWARD, HOW ARE THE WAYS THAT 2199 01:25:39,577 --> 01:25:41,979 WORK IS GOING TO AFFECT THE WAY 2200 01:25:41,979 --> 01:25:44,515 DOCTORS AND NURSES AND OTHER 2201 01:25:44,515 --> 01:25:45,383 HEALTH CARE PROFESSIONALS TAKE 2202 01:25:45,383 --> 01:25:46,417 CARE OF PATIENTS. 2203 01:25:46,417 --> 01:25:48,886 IF WE DON'T ACHIEVE THAT, THEN, 2204 01:25:48,886 --> 01:25:50,655 YOU KNOW, THIS IS JUST ABSTRACT 2205 01:25:50,655 --> 01:25:53,057 SCIENCE FOR THE SAKE OF SCIENCE, 2206 01:25:53,057 --> 01:25:57,628 NOT REALLY WHAT NIH OR NLM IS 2207 01:25:57,628 --> 01:26:01,933 SUPPOSED TO BE. 2208 01:26:01,933 --> 01:26:03,768 >> IF I COULD DO A QUICK IDEA 2209 01:26:03,768 --> 01:26:06,437 AND REMARK, IT'S NOT A COMPLETE 2210 01:26:06,437 --> 01:26:08,472 ANSWER, BUT ONE OF THE THINGS IS 2211 01:26:08,472 --> 01:26:10,308 HOW DO WE GET RELATE WORLD 2212 01:26:10,308 --> 01:26:11,976 HEALTH OUTCOME DATA FROM 2213 01:26:11,976 --> 01:26:13,511 SOMETHING LIKE DRUG ADVERSE 2214 01:26:13,511 --> 01:26:14,946 EVENTS, WE'RE DOSING POPULAR 2215 01:26:14,946 --> 01:26:16,347 DRUGS, MILLIONS OF TIMES A DAY 2216 01:26:16,347 --> 01:26:17,548 ACROSS THE COUNTRY. 2217 01:26:17,548 --> 01:26:18,316 THERE'S NATURAL EXPERIMENTS 2218 01:26:18,316 --> 01:26:18,549 RUNNING. 2219 01:26:18,549 --> 01:26:20,718 FDA DOES NOT GET THAT DATA BACK 2220 01:26:20,718 --> 01:26:21,652 AFTER PHASE 3 APPROVAL. 2221 01:26:21,652 --> 01:26:25,089 IS THERE SOMETHING WE CAN DO TO 2222 01:26:25,089 --> 01:26:26,190 FACILITATE AGGREGATION AND 2223 01:26:26,190 --> 01:26:28,492 ANALYSIS AT A POPULATION LEVEL, 2224 01:26:28,492 --> 01:26:29,594 YOU KNOW, INCLUDING 2225 01:26:29,594 --> 01:26:31,028 REPRESENTATIVE MINORITIES ABOUT 2226 01:26:31,028 --> 01:26:33,865 HOW DRUGS ARE WORKING AND ARE 2227 01:26:33,865 --> 01:26:35,266 THERE CAUTIONS OR ADVERSE EVENTS 2228 01:26:35,266 --> 01:26:38,469 WE NEED TO TRACK FOR SAFETY AND 2229 01:26:38,469 --> 01:26:38,903 EFFICACY. 2230 01:26:38,903 --> 01:26:40,104 THAT'S JUST AN EXAMPLE TRYING TO 2231 01:26:40,104 --> 01:26:43,040 FIGURE OUT HOW DO WE USE DATA 2232 01:26:43,040 --> 01:26:44,375 BEING GENERATED AND CAPTURED 2233 01:26:44,375 --> 01:26:46,444 PASSIVELY BACK INTO THIS SYSTEM 2234 01:26:46,444 --> 01:26:50,481 WHERE IT COULD BE REINTERPRETED 2235 01:26:50,481 --> 01:26:51,082 FOR VALUE-ADDED ANALYSIS AND 2236 01:26:51,082 --> 01:26:51,449 DECISION MAKING. 2237 01:26:51,449 --> 01:26:53,484 I DON'T KNOW IF THERE'S OTHER 2238 01:26:53,484 --> 01:26:55,653 DIRECT ANALOGS OF PubMed. 2239 01:26:55,653 --> 01:26:57,321 LAST THING I'LL OFFER, IT'S USED 2240 01:26:57,321 --> 01:26:59,090 A LOT IN MEDICINE, ONE OF THE 2241 01:26:59,090 --> 01:27:00,625 FEW RESOURCES THAT HAS CLEARANCE 2242 01:27:00,625 --> 01:27:02,026 TO RETURN DURING A SHUTDOWN 2243 01:27:02,026 --> 01:27:04,228 BECAUSE IT'S USED TO INFORM 2244 01:27:04,228 --> 01:27:04,495 SURGERIES. 2245 01:27:04,495 --> 01:27:06,964 SO I KNOW IT'S USED A LOT, AND 2246 01:27:06,964 --> 01:27:09,467 WHEN IT'S TURNED OFF IT'S A 2247 01:27:09,467 --> 01:27:10,034 CRISIS. 2248 01:27:10,034 --> 01:27:12,003 >> IT'S A HUGE SUCCESS. 2249 01:27:12,003 --> 01:27:18,743 >> THANK YOU. 2250 01:27:18,743 --> 01:27:20,544 >> I WAS INTRIGUED BY THE 2251 01:27:20,544 --> 01:27:23,281 ECOSYSTEM OF MODELS. 2252 01:27:23,281 --> 01:27:26,784 AND ALSO WE TALKED ABOUT 2253 01:27:26,784 --> 01:27:27,785 UTILITY, VALUE, ROI. 2254 01:27:27,785 --> 01:27:31,389 BUT I WAS INTRIGUED ABOUT THE 2255 01:27:31,389 --> 01:27:34,125 DATA-TO-KNOWLEDGE, BUT FROM THE 2256 01:27:34,125 --> 01:27:38,195 PUBLIC PERSPECTIVE NOT 2257 01:27:38,195 --> 01:27:39,397 NECESSARILY RESEARCH 2258 01:27:39,397 --> 01:27:40,197 PERSPECTIVE, BECAUSE 2259 01:27:40,197 --> 01:27:43,034 INTERACTIONS WITH ADVANCED 2260 01:27:43,034 --> 01:27:47,638 PRACTICE NURSES, COMMUNITY 2261 01:27:47,638 --> 01:27:51,909 NURSES, COMMUNITY PHYSICIANS, MY 2262 01:27:51,909 --> 01:27:53,644 WIFE'S PERSONAL LIBRARIAN 2263 01:27:53,644 --> 01:27:55,980 BECAUSE OF HER COMORBIDITIES AND 2264 01:27:55,980 --> 01:28:00,117 DISABILITIES, BUT TRYING TO FIND 2265 01:28:00,117 --> 01:28:02,720 OUT IF THERE'S ROADMAP FOR A 2266 01:28:02,720 --> 01:28:04,255 MORE PUBLIC-FACING -- HOW DOES 2267 01:28:04,255 --> 01:28:08,192 THE TAXPAYER GET THAT VALUE AS 2268 01:28:08,192 --> 01:28:09,527 WELL? 2269 01:28:09,527 --> 01:28:12,964 BEYOND PubMed YOU'VE GOT 2270 01:28:12,964 --> 01:28:14,231 RICHNESS OF DATA, ET CETERA. 2271 01:28:14,231 --> 01:28:16,067 WHAT HAS HELPED WITH MY WIFE AND 2272 01:28:16,067 --> 01:28:18,269 THE FEW PHYSICIANS WHO WOULD 2273 01:28:18,269 --> 01:28:19,804 LISTEN TO INFORMED PATIENTS, 2274 01:28:19,804 --> 01:28:22,106 THAT PubMed AND THE CASE 2275 01:28:22,106 --> 01:28:24,175 STUDIES GIVES ME THAT HOLISTIC 2276 01:28:24,175 --> 01:28:25,376 PERSON, AS OPPOSED TO 2277 01:28:25,376 --> 01:28:25,676 SPECIALTIES. 2278 01:28:25,676 --> 01:28:27,345 I CAN GO TO THE SPECIALTIES BUT 2279 01:28:27,345 --> 01:28:30,314 I COME WITH A HOLISTIC 2280 01:28:30,314 --> 01:28:30,915 PERSPECTIVE BECAUSE THE 2281 01:28:30,915 --> 01:28:32,950 LITERATURE AS WELL AS OTHER 2282 01:28:32,950 --> 01:28:35,119 RESOURCES HAVE GIVEN ME THAT 2283 01:28:35,119 --> 01:28:35,619 TOTALITY. 2284 01:28:35,619 --> 01:28:36,988 ESPECIALLY THE VALUE OF CASE 2285 01:28:36,988 --> 01:28:38,622 STUDIES BECAUSE YOU GET THAT 2286 01:28:38,622 --> 01:28:40,091 WHOLE PATIENT. 2287 01:28:40,091 --> 01:28:41,759 SO, I WOULD REALLY CHALLENGE 2288 01:28:41,759 --> 01:28:44,095 YOU, I THINK YOU'VE GOT THE 2289 01:28:44,095 --> 01:28:46,530 TOOLS, THE MINDSET, BUT THE SOME 2290 01:28:46,530 --> 01:28:47,932 POINT WE'VE GOT TO SELL THINKING 2291 01:28:47,932 --> 01:28:49,467 ABOUT THE LOST PATIENT OUT THERE 2292 01:28:49,467 --> 01:28:50,768 WHO KNOW WHAT IS THEY ARE GOING 2293 01:28:50,768 --> 01:28:52,737 TO GET IN THIS WORLD, BUT I 2294 01:28:52,737 --> 01:28:56,240 THINK ABOUT WHETHER IT'S A SMALL 2295 01:28:56,240 --> 01:28:58,442 MODEL, OPEN A.I., WHATEVER, 2296 01:28:58,442 --> 01:29:00,745 BECAUSE I KNOW THERE'S A COST 2297 01:29:00,745 --> 01:29:03,247 INVOLVED, BUT SOMEHOW, SOME WAY, 2298 01:29:03,247 --> 01:29:05,649 THINKING ABOUT THIS FOR THE 2299 01:29:05,649 --> 01:29:07,952 PUBLIC AS WELL, AND IT'S NOT 2300 01:29:07,952 --> 01:29:09,620 JUST THE PATIENT BUT IT'S ALSO 2301 01:29:09,620 --> 01:29:15,393 THAT PROVIDER WHO DOES NOT HAVE 2302 01:29:15,393 --> 01:29:16,494 THE LIBRARY WITH THE $5 MILLION 2303 01:29:16,494 --> 01:29:17,461 BUDGET BUT THERE'S STILL A LOT 2304 01:29:17,461 --> 01:29:19,430 OF PEOPLE OUT THERE STRUGGLING 2305 01:29:19,430 --> 01:29:21,265 AND SUFFERING WITH INFORMATION 2306 01:29:21,265 --> 01:29:23,467 OVERLOAD BUT AT THE SAME TIME 2307 01:29:23,467 --> 01:29:24,035 INFORMATION DESERT. 2308 01:29:24,035 --> 01:29:27,538 AND THIS IS I THINK -- THIS ALSO 2309 01:29:27,538 --> 01:29:32,443 GOES TO MY GLOBAL HEALTH WORK IN 2310 01:29:32,443 --> 01:29:34,111 LIBERIA, SAME THING. 2311 01:29:34,111 --> 01:29:37,281 NOT THAT YOU'RE PROVIDING VALUE 2312 01:29:37,281 --> 01:29:39,216 FOR THE NON-TAXPAYERS BUT THERE 2313 01:29:39,216 --> 01:29:42,086 IS AN TREATMENT VALUE TO THE 2314 01:29:42,086 --> 01:29:43,921 GLOBAL WORLD AS WELL WITH THE 2315 01:29:43,921 --> 01:29:46,223 NIH RESOURCES. 2316 01:29:46,223 --> 01:29:47,525 SO THANK YOU. 2317 01:29:47,525 --> 01:29:49,727 >> WE'LL TAKE ONE LAST BEFORE 2318 01:29:49,727 --> 01:29:54,899 BREAK, WE'LL COME BACK WITH A 2319 01:29:54,899 --> 01:29:55,533 SHORTER BREAK. 2320 01:29:55,533 --> 01:29:56,734 >> DO YOU WANT MY QUESTION TO 2321 01:29:56,734 --> 01:29:59,703 COME AFTER THE BREAK? 2322 01:29:59,703 --> 01:30:00,237 >> YES, ACTUALLY. 2323 01:30:00,237 --> 01:30:02,973 >> OKAY. 2324 01:30:02,973 --> 01:30:08,974 >> WE'LL GET BACK AT 10:40. 2325 01:30:08,974 --> 01:30:10,409 >> YESTERDAY WE HEARD FROM LARRY 2326 01:30:10,409 --> 01:30:11,944 TABAK ABOUT SOMETHING WE'VE BEEN 2327 01:30:11,944 --> 01:30:17,950 THINKING A FAIR BIT ABOUT, 2328 01:30:17,950 --> 01:30:21,486 CREATING A PORTFOLIO, WE'VE DONE 2329 01:30:21,486 --> 01:30:23,655 THAT WITH EDUCATIONAL, 2330 01:30:23,655 --> 01:30:24,957 CONVENTIONAL PORTFOLIO IN 2331 01:30:24,957 --> 01:30:26,158 EDUCATION IS ENTREPRENEURIAL, HE 2332 01:30:26,158 --> 01:30:28,460 COMMENTED ON THE NEED TO SEND US 2333 01:30:28,460 --> 01:30:29,561 DATA, MAKE DATASETS AVAILABLE TO 2334 01:30:29,561 --> 01:30:30,796 US, SO ON. 2335 01:30:30,796 --> 01:30:34,399 TODAY WE HEARD ABOUT A VARIETY 2336 01:30:34,399 --> 01:30:35,701 OF DATA SHARING OPPORTUNITIES, 2337 01:30:35,701 --> 01:30:39,972 SO WHAT IS EMERGING TO ME, I MAY 2338 01:30:39,972 --> 01:30:41,840 ADMIT THIS, WHAT ARE THE 2339 01:30:41,840 --> 01:30:44,042 STRATEGIES AND OPERATIONAL PLANS 2340 01:30:44,042 --> 01:30:45,777 FOR ROLLING OUT STRATEGIES 2341 01:30:45,777 --> 01:30:49,047 STANDARDIZING WAYS WHICH WE 2342 01:30:49,047 --> 01:30:50,282 REPORT DATASETS, ARTICLES, 2343 01:30:50,282 --> 01:30:51,383 PROMOTIONS COMMITTEE. 2344 01:30:51,383 --> 01:30:53,552 I WOULD LOVE TO MAKE A 2345 01:30:53,552 --> 01:30:54,286 COLLABORATION PORTFOLIO 2346 01:30:54,286 --> 01:30:59,258 SOMETHING THAT I CAN TAKE TO 2347 01:30:59,258 --> 01:31:05,497 INSTITUTIONS BUT I DON'T KNOW 2348 01:31:05,497 --> 01:31:06,898 THE STANDARDS, SO I REALLY THINK 2349 01:31:06,898 --> 01:31:10,302 THERE NEEDS TO BE A STRATEGY, 2350 01:31:10,302 --> 01:31:11,069 AND SOME WAY OF COMMUNICATING 2351 01:31:11,069 --> 01:31:13,805 ENOUGH SO WE CAN MAKE THIS A BIT 2352 01:31:13,805 --> 01:31:16,775 MORE REAL AS OPPOSED TO JUST 2353 01:31:16,775 --> 01:31:18,844 DISCUSSING THE POSSIBILITY OF 2354 01:31:18,844 --> 01:31:22,581 COLLABORATION IN THE PORTFOLIOS. 2355 01:31:22,581 --> 01:31:25,183 >> SO, I HEAR YOU. 2356 01:31:25,183 --> 01:31:28,353 I DON'T HAVE A STRATEGY, AND I'M 2357 01:31:28,353 --> 01:31:30,422 NOT AWARE OF, MAYBE I'LL TURN TO 2358 01:31:30,422 --> 01:31:32,190 SUSAN TO KNOW IF THERE'S 2359 01:31:32,190 --> 01:31:36,128 ANYTHING AT THE NIH LEVEL THAT'S 2360 01:31:36,128 --> 01:31:39,097 FORMAL, BUT I WOULD ADD TO THAT, 2361 01:31:39,097 --> 01:31:42,134 NOT JUST COLLABORATION BUT DATA 2362 01:31:42,134 --> 01:31:44,202 SUBMISSION, AND IT'S ADJACENT TO 2363 01:31:44,202 --> 01:31:45,871 THAT BUT I THINK THIS IS WHERE 2364 01:31:45,871 --> 01:31:51,443 WE REALLY NEED TO FIGURE OUT HOW 2365 01:31:51,443 --> 01:31:53,211 TO REPORT ON SUBMISSION VALUE. 2366 01:31:53,211 --> 01:31:54,913 WE COULD DO THIS FOR SOME LEVEL 2367 01:31:54,913 --> 01:31:58,550 OF SUBMITTERS BUT I THINK THE 2368 01:31:58,550 --> 01:32:01,086 COMMUNITY AND BROADLY NEEDS SOME 2369 01:32:01,086 --> 01:32:02,821 STANDARDS, WHO GETS CREDIT, YOU 2370 01:32:02,821 --> 01:32:06,091 KNOW, HOW DO WE COUNT USAGE, HOW 2371 01:32:06,091 --> 01:32:08,860 DO WE COUNT SUBMISSIONS, 2372 01:32:08,860 --> 01:32:11,263 ESPECIALLY IN LARGE 2373 01:32:11,263 --> 01:32:12,998 INTERNATIONAL AND MULTI-CENTER 2374 01:32:12,998 --> 01:32:13,265 PROJECTS. 2375 01:32:13,265 --> 01:32:14,833 INCREASINGLY HAVE SOMETHING THAT 2376 01:32:14,833 --> 01:32:16,168 COMES IN, LIKE 100 AUTHORS ON 2377 01:32:16,168 --> 01:32:17,636 THE PAPER, ARE THEY ALL ATTACHED 2378 01:32:17,636 --> 01:32:19,237 TO THE DATA, IS IT JUST 2379 01:32:19,237 --> 01:32:20,439 PARTICULAR TEAMS? 2380 01:32:20,439 --> 01:32:22,874 THERE'S STILL SOME QUESTIONS OR 2381 01:32:22,874 --> 01:32:24,409 ISSUES TO PILOT, AND THEN HOW DO 2382 01:32:24,409 --> 01:32:27,679 WE GET THAT ATTACHED TO 2383 01:32:27,679 --> 01:32:28,213 IDENTITIES. 2384 01:32:28,213 --> 01:32:30,215 THERE'S A GENERAL PROBLEM RIGHT 2385 01:32:30,215 --> 01:32:32,384 NOW AROUND IDENTITY MANAGEMENT 2386 01:32:32,384 --> 01:32:35,253 AND PUBLISHING, THAT'S COMING UP 2387 01:32:35,253 --> 01:32:39,291 AROUND CHANGES IN SURNAMES, 2388 01:32:39,291 --> 01:32:42,627 AROUND AUTHOR IDENTIFICATIONS, 2389 01:32:42,627 --> 01:32:45,831 THINGS LIKE ORCID I.D. WHEN THEY 2390 01:32:45,831 --> 01:32:48,033 ARE NOT PART OF THE INITIAL 2391 01:32:48,033 --> 01:32:49,568 CONSTRUCTION OF THE MANUSCRIPT, 2392 01:32:49,568 --> 01:32:51,236 NLM IS PARTY TO THAT BUT WE 2393 01:32:51,236 --> 01:32:52,270 CAN'T SOLVE THE PROBLEM. 2394 01:32:52,270 --> 01:32:57,509 I DON'T WANT TO BUILD A SHADOW 2395 01:32:57,509 --> 01:32:58,844 SYSTEM ATTACHING COLLABORATIONS 2396 01:32:58,844 --> 01:32:59,578 AND METADATA OUTSIDE THE 2397 01:32:59,578 --> 01:33:02,447 OFFICIAL RECORD. 2398 01:33:02,447 --> 01:33:10,555 IT NEEDS TO BE A PARTNER TO 2399 01:33:10,555 --> 01:33:12,891 PUBLISHER ALIAS, AKAs, 2400 01:33:12,891 --> 01:33:13,158 ATTACHED. 2401 01:33:13,158 --> 01:33:20,499 BETWEEN ORCHID I.D.s, 2402 01:33:20,499 --> 01:33:30,942 SUBMITTER NAMES AND DATA. 2403 01:33:34,279 --> 01:33:36,615 I'LL TURN TO SUSAN. 2404 01:33:36,615 --> 01:33:38,583 >> WE'RE REQUIRING ORCID IDs 2405 01:33:38,583 --> 01:33:40,886 IN GRANT APPLICATIONS, I CAN SEE 2406 01:33:40,886 --> 01:33:42,888 WE NEED ADDITIONAL TECHNOLOGIES 2407 01:33:42,888 --> 01:33:45,056 AND TOOLS TO HELP LINK WHAT'S 2408 01:33:45,056 --> 01:33:46,491 COMING FROM THE DATA MANAGEMENT 2409 01:33:46,491 --> 01:33:48,326 SHARING PLANS, WE HAVE SOME 2410 01:33:48,326 --> 01:33:51,296 RESOURCES WITH NLM AND OTHERS. 2411 01:33:51,296 --> 01:33:53,131 THIS MIGHT BE A GREAT 2412 01:33:53,131 --> 01:33:55,233 APPLICATION FOR OPPORTUNITY AND 2413 01:33:55,233 --> 01:33:56,635 RESEARCH DEVELOPMENT. 2414 01:33:56,635 --> 01:33:58,503 EXACTLY AS STEVE SAID, WE REALLY 2415 01:33:58,503 --> 01:34:02,441 NEED TO UNDERSTAND WHEN 2416 01:34:02,441 --> 01:34:04,609 RESEARCHERS -- HOW IT'S 2417 01:34:04,609 --> 01:34:06,378 CONTRIBUTING BACK TO THEIR DATA 2418 01:34:06,378 --> 01:34:09,548 SHARING PLANS IN WAYS WE CAN 2419 01:34:09,548 --> 01:34:11,416 HELP TRACK THAT, THAT COULD 2420 01:34:11,416 --> 01:34:13,819 INSTANTIATING BETTER METADATA. 2421 01:34:13,819 --> 01:34:14,486 WE'VE PILOTED THIS WITH THE 2422 01:34:14,486 --> 01:34:17,122 BRAIN TO SOME EXTENT BUT I THINK 2423 01:34:17,122 --> 01:34:19,424 THIS IS REALLY NEEDED AND IT'S A 2424 01:34:19,424 --> 01:34:22,828 GREAT ROLE FOR NLM AND FOR NIH 2425 01:34:22,828 --> 01:34:24,129 TO DEVELOP TECHNOLOGIES. 2426 01:34:24,129 --> 01:34:25,530 SO WE'RE NOT THERE YET. 2427 01:34:25,530 --> 01:34:26,431 LOVE YOUR IDEAS. 2428 01:34:26,431 --> 01:34:30,368 I'VE LOVE TO SEE WHAT WE CAN DO 2429 01:34:30,368 --> 01:34:31,470 TO HELP INSTANTIATE THAT. 2430 01:34:31,470 --> 01:34:34,105 >> I WAS THINKING ABOUT 2431 01:34:34,105 --> 01:34:38,677 SOMETHING QUITE SIMPLE, 2432 01:34:38,677 --> 01:34:39,578 CONCEPTUALLY. 2433 01:34:39,578 --> 01:34:41,546 STANDARDS AROUND DATASET, 2434 01:34:41,546 --> 01:34:42,981 IDENTIFICATION, SO EVERYBODY IT 2435 01:34:42,981 --> 01:34:44,950 COULD BE A DOI FOR EXAMPLE BUT 2436 01:34:44,950 --> 01:34:48,987 THAT BECOMES A STANDARD LIKE A 2437 01:34:48,987 --> 01:34:50,121 CLINICAL TRIALS IDENTIFIER FOR 2438 01:34:50,121 --> 01:34:52,057 DATASETS, A LOT OF THE DIVERSITY 2439 01:34:52,057 --> 01:34:53,058 HOW COLLABORATION PROPOSES BUT 2440 01:34:53,058 --> 01:34:54,659 WE DON'T EVEN HAVE THAT. 2441 01:34:54,659 --> 01:34:57,863 AND SO I DON'T KNOW HOW TO TAKE 2442 01:34:57,863 --> 01:35:01,900 THIS CONCEPT TO UNIVERSITIES. 2443 01:35:01,900 --> 01:35:05,937 IT FEELS LIKE NLM AND NIH SHOULD 2444 01:35:05,937 --> 01:35:11,309 BE AT LEADERSHIP HELM. 2445 01:35:11,309 --> 01:35:12,544 >> I DON'T KNOW IF DIANNE BABSKI 2446 01:35:12,544 --> 01:35:14,713 IN THE ROOM BUT WE HAVE A 2447 01:35:14,713 --> 01:35:18,316 METADATA MODEL FOR DESCRIBING 2448 01:35:18,316 --> 01:35:20,151 DATASETS, GIVING SOME 2449 01:35:20,151 --> 01:35:21,052 RUDIMENTARY ATTRIBUTION, MEANT 2450 01:35:21,052 --> 01:35:24,422 TO BE A MINIMAL SET SO I DON'T 2451 01:35:24,422 --> 01:35:27,192 KNOW IT WILL IF ALL OF 2452 01:35:27,192 --> 01:35:28,493 COMPLEXITY NEEDED. 2453 01:35:28,493 --> 01:35:31,429 IT COULD BE EVALUATED, FEEDBACK 2454 01:35:31,429 --> 01:35:33,965 BUTTON OR DIRECTLY TO DIANA OR 2455 01:35:33,965 --> 01:35:35,834 OTHERS FROM THE LIBRARY AROUND 2456 01:35:35,834 --> 01:35:36,701 ITS SUITABILITY OR DEFICIENCIES. 2457 01:35:36,701 --> 01:35:38,136 IF WE'RE TRYING TO UNDERSTAND 2458 01:35:38,136 --> 01:35:39,671 HOW TO ADVANCE THAT VERY PROBLEM 2459 01:35:39,671 --> 01:35:44,009 HOW DO WE DESCRIBE DATASETS IN A 2460 01:35:44,009 --> 01:35:47,178 CATALOG TYPE OF WAY THAT COULD 2461 01:35:47,178 --> 01:35:47,979 WORK INTERNATIONALLY. 2462 01:35:47,979 --> 01:35:49,481 >> ALL RIGHT. 2463 01:35:49,481 --> 01:35:53,118 SO WE HAVE DEVELOPED THE DATASET 2464 01:35:53,118 --> 01:35:53,351 CATALOG. 2465 01:35:53,351 --> 01:35:54,653 OUR PRODUCT DONOR IS RIGHT HERE. 2466 01:35:54,653 --> 01:35:58,490 I SHOULD PASS THE MIC OVER TO 2467 01:35:58,490 --> 01:35:58,690 HIM. 2468 01:35:58,690 --> 01:36:03,862 ONE OF THE THINGS WE DID DO WAS 2469 01:36:03,862 --> 01:36:08,567 TO CREATE A -- THE EQUIVALENT OF 2470 01:36:08,567 --> 01:36:10,535 JOURNAL ARTICLE TAGS THAT BECAME 2471 01:36:10,535 --> 01:36:12,837 THE STANDARD FOR PUBLISHING, 2472 01:36:12,837 --> 01:36:14,172 WHAT DESCRIBES A CITATION. 2473 01:36:14,172 --> 01:36:15,707 AND SO WE DID THE SAME THING 2474 01:36:15,707 --> 01:36:18,543 WITH OUR DATA MODEL. 2475 01:36:18,543 --> 01:36:20,812 WHAT IS THE MINIMUM CRITERIA FOR 2476 01:36:20,812 --> 01:36:22,247 DESCRIBING A DATASET AND BEING 2477 01:36:22,247 --> 01:36:24,683 ABLE TO POINT BACK OR LINK OUT 2478 01:36:24,683 --> 01:36:26,518 TO IT AS WELL. 2479 01:36:26,518 --> 01:36:28,620 DOIs ARE INCLUDED IN THOSE AS 2480 01:36:28,620 --> 01:36:30,789 WELL, AND THE MODEL IS VERY 2481 01:36:30,789 --> 01:36:32,991 ROBUST, SO THAT YOU CAN TAKE IT, 2482 01:36:32,991 --> 01:36:37,128 USE IT IN YOUR OWN ENVIRONMENT, 2483 01:36:37,128 --> 01:36:40,098 EXTEND IT, AND MAKE IT WORK IN 2484 01:36:40,098 --> 01:36:44,369 WHATEVER CAPACITY THAT YOU NEED. 2485 01:36:44,369 --> 01:36:46,671 WE WORKED WITH W-3C, AND SOME 2486 01:36:46,671 --> 01:36:48,873 OTHER ORGANIZATIONS, AND WE HAVE 2487 01:36:48,873 --> 01:36:50,475 A COUPLE OTHER INSTANCES WHERE 2488 01:36:50,475 --> 01:36:53,478 THAT MODEL HAS BEEN IMPLEMENTED. 2489 01:36:53,478 --> 01:36:56,748 I CAN'T REMEMBER THE UNIVERSITY. 2490 01:36:56,748 --> 01:36:58,717 HELP ME OUT. 2491 01:36:58,717 --> 01:37:01,553 >> AGREEMENT WITH UNIVERSITIES. 2492 01:37:01,553 --> 01:37:01,853 >> RIGHT. 2493 01:37:01,853 --> 01:37:12,163 >> (INAUDIBLE). 2494 01:37:21,473 --> 01:37:22,040 >> RIGHT. 2495 01:37:22,040 --> 01:37:25,210 SO REALLY THE GOAL OF THIS IS TO 2496 01:37:25,210 --> 01:37:28,046 TURN THIS DATASET CATALOG INTO A 2497 01:37:28,046 --> 01:37:29,781 PubMed, IF YOU WILL, 2498 01:37:29,781 --> 01:37:30,515 REFINING DATASETS. 2499 01:37:30,515 --> 01:37:36,021 THEY DON'T HAVE TO SEARCH ACROSS 2500 01:37:36,021 --> 01:37:36,788 17 REPOSITORIES, AND KNOW WHERE 2501 01:37:36,788 --> 01:37:37,789 A UNIVERSITY REPOSITORY IS. 2502 01:37:37,789 --> 01:37:39,858 THEY SHOULD BE ABLE TO PULL IT 2503 01:37:39,858 --> 01:37:40,425 IN TOGETHER. 2504 01:37:40,425 --> 01:37:42,060 AND SO THAT IS A KEY THING. 2505 01:37:42,060 --> 01:37:44,996 WE KNEW THAT WAS GOING TO COME 2506 01:37:44,996 --> 01:37:48,066 UP, ESPECIALLY WITH THE SHARING 2507 01:37:48,066 --> 01:37:49,267 PLANS, EVERYONE IS RECEPTIVE, 2508 01:37:49,267 --> 01:37:51,569 SOMETHING PROOF OF CONCEPT IN 2509 01:37:51,569 --> 01:37:53,104 OUR DATA, RIGHT NOW, AND TRYING 2510 01:37:53,104 --> 01:37:54,639 TO SEE HOW THAT WORKS. 2511 01:37:54,639 --> 01:37:57,709 AND IF YOU HAVEN'T TRIED IT YET, 2512 01:37:57,709 --> 01:37:58,677 I'M GOING SHAMEFULLY PLUG IT. 2513 01:37:58,677 --> 01:38:00,879 CHECK IT OUT. 2514 01:38:00,879 --> 01:38:02,947 GIVE US FEEDBACK. 2515 01:38:02,947 --> 01:38:04,582 IT'S IN AN NPT RIGHT NOW. 2516 01:38:04,582 --> 01:38:06,584 WE'RE IN THE PROCESS OF DOING 2517 01:38:06,584 --> 01:38:07,318 ASSESSMENT STEVE TALKED ABOUT 2518 01:38:07,318 --> 01:38:08,520 YESTERDAY TO THINK ABOUT WHERE 2519 01:38:08,520 --> 01:38:10,088 WE'RE GOING WITH THIS NEXT AND 2520 01:38:10,088 --> 01:38:13,792 WHAT DO WE NEED TO WORK ON 2521 01:38:13,792 --> 01:38:15,760 FIRST, AND OUR LONG RANGE PLAN. 2522 01:38:15,760 --> 01:38:18,730 >> LET ME ASK A FOLLOW-ON. 2523 01:38:18,730 --> 01:38:23,001 SO, WITHIN THE DATA -- SO YOU'LL 2524 01:38:23,001 --> 01:38:24,069 HAVE BASICALLY INFORMATION 2525 01:38:24,069 --> 01:38:26,805 ABOUT, YOU KNOW, DATASETS, WILL 2526 01:38:26,805 --> 01:38:29,874 IT ALSO INCLUDE THE DIFFERENT 2527 01:38:29,874 --> 01:38:30,909 USES OF THAT DATASET? 2528 01:38:30,909 --> 01:38:33,478 THAT COULD GET TO THE 2529 01:38:33,478 --> 01:38:35,346 COLLABORATION TALKING ABOUT SO 2530 01:38:35,346 --> 01:38:38,950 YOU CREATE PubMed SOURCES 2531 01:38:38,950 --> 01:38:41,019 LIKE USED IN ALL THESE WAYS, I 2532 01:38:41,019 --> 01:38:44,422 CAN PUT THAT ON MY CV. 2533 01:38:44,422 --> 01:38:46,391 >> THAT'S A FUTURE GOAL. 2534 01:38:46,391 --> 01:38:48,259 THE GOAL IS JUST WITH ALL OF OUR 2535 01:38:48,259 --> 01:38:50,462 DATA, HOW DO WE CREATE THOSE 2536 01:38:50,462 --> 01:38:51,496 LINKAGES FROM ONE SYSTEM TO THE 2537 01:38:51,496 --> 01:38:51,996 OTHER? 2538 01:38:51,996 --> 01:38:59,137 SO IF YOU'RE IN PubMed, YOU 2539 01:38:59,137 --> 01:39:00,004 CAN SEE ASSOCIATED DATASETS, SO 2540 01:39:00,004 --> 01:39:04,175 THE GOAL TO HAVE THE WHOLE WEB 2541 01:39:04,175 --> 01:39:05,243 OF FINDABILITY AND 2542 01:39:05,243 --> 01:39:07,011 DISCOVERABILITY, BUT I'M HOPE 2543 01:39:07,011 --> 01:39:09,981 YOU'RE TAKING NOTES OF SOME OF 2544 01:39:09,981 --> 01:39:10,882 THIS, STEVE. 2545 01:39:10,882 --> 01:39:13,151 >> WE BUILT IT AS A SEMANTIC 2546 01:39:13,151 --> 01:39:22,927 DATA MODEL TO DO EXACTLY WHAT 2547 01:39:22,927 --> 01:39:23,328 YOU'RE DESCRIBING. 2548 01:39:23,328 --> 01:39:33,505 (INAUDIBLE). 2549 01:39:33,505 --> 01:39:35,373 >> IF YOU HAD ANYTHING ELSE TO 2550 01:39:35,373 --> 01:39:35,607 ADD? 2551 01:39:35,607 --> 01:39:37,142 >> THIS IS REALLY GREAT. 2552 01:39:37,142 --> 01:39:43,181 THE MORE WE CAN WORK WITH DATA, 2553 01:39:43,181 --> 01:39:50,722 THE DATA NLM IS DOING, COMMUNITY 2554 01:39:50,722 --> 01:39:52,157 EFFORTS, WE CAN WORK WITH NLM 2555 01:39:52,157 --> 01:39:54,459 AND OTHER COMMUNITY EFFORTS SUCH 2556 01:39:54,459 --> 01:39:56,194 AS WHAT'S HAPPENING WITH DATA 2557 01:39:56,194 --> 01:40:00,465 CITE TO INSTANTIATE THIS CONCEPT 2558 01:40:00,465 --> 01:40:02,767 OF THE SCHEMA, THERE'S A LOT OF 2559 01:40:02,767 --> 01:40:05,069 ACTIVITIES IN THIS AREA, 2560 01:40:05,069 --> 01:40:06,504 DIFFERENT COMMUNITIES, WHICH 2561 01:40:06,504 --> 01:40:12,076 REALLY PROMOTES THE BROAD SCALE 2562 01:40:12,076 --> 01:40:12,443 DISCOVERABILITY. 2563 01:40:12,443 --> 01:40:15,446 NSF FUNDED SOMETHING CALLED THE 2564 01:40:15,446 --> 01:40:18,883 PROTOOPEN KNOWLEDGE NETWORK, A 2565 01:40:18,883 --> 01:40:20,385 KNOWLEDGE GRAPH ACROSS ALL 2566 01:40:20,385 --> 01:40:21,719 SCIENCE, MANY AGENCIES ARE 2567 01:40:21,719 --> 01:40:24,022 PARTICIPATING WITH NSF. 2568 01:40:24,022 --> 01:40:25,423 WE ARE FOR THE BIOMEDICAL 2569 01:40:25,423 --> 01:40:25,790 KNOWLEDGE GRAPH. 2570 01:40:25,790 --> 01:40:33,331 I THINK THERE'S OPPORTUNITIES 2571 01:40:33,331 --> 01:40:36,301 HERE TO START TO INTEGRATE THE 2572 01:40:36,301 --> 01:40:38,369 SCHEMAS ACROSS -- SCHEMA OF 2573 01:40:38,369 --> 01:40:43,408 SCHEMAS, AND THERE'S SOME REALLY 2574 01:40:43,408 --> 01:40:45,043 INTERESTING WORK IN NLM, THIS IS 2575 01:40:45,043 --> 01:40:46,744 WHERE THE FUTURE IS, SO WHAT I 2576 01:40:46,744 --> 01:40:54,085 SEE IS WE PROBABLY HAVE TO 2577 01:40:54,085 --> 01:40:55,620 UPSCALE THE DATA MODEL QUITE A 2578 01:40:55,620 --> 01:40:59,424 BIT TO MAKE SURE IT SCALES 2579 01:40:59,424 --> 01:41:02,093 ACROSS OUR DATA REPOSITORIES AND 2580 01:41:02,093 --> 01:41:02,360 RESOURCES. 2581 01:41:02,360 --> 01:41:03,828 >> I'LL PUT YOU ON THE SPOT 2582 01:41:03,828 --> 01:41:08,533 ABOUT MAYBE WHAT THE NSF IS 2583 01:41:08,533 --> 01:41:08,867 DOING. 2584 01:41:08,867 --> 01:41:11,035 >> ACTUALLY, SHE JUST GAVE THE 2585 01:41:11,035 --> 01:41:12,036 BIGGEST PLUG. 2586 01:41:12,036 --> 01:41:12,370 >> OH. 2587 01:41:12,370 --> 01:41:13,438 >> FOR THE THING THAT WE'RE 2588 01:41:13,438 --> 01:41:14,806 DOING. 2589 01:41:14,806 --> 01:41:16,307 WE'VE HAD DATA MANAGEMENT PLANS 2590 01:41:16,307 --> 01:41:18,376 ACTUALLY BEFORE NIH DID. 2591 01:41:18,376 --> 01:41:18,610 >> OH. 2592 01:41:18,610 --> 01:41:22,981 I DID NOT KNOW THAT. 2593 01:41:22,981 --> 01:41:23,514 OKAY. 2594 01:41:23,514 --> 01:41:27,018 >> I WAS GOING TO CALL FOR -- 2595 01:41:27,018 --> 01:41:37,128 THERE MIGHT BE SOME UTILITY IN 2596 01:41:37,128 --> 01:41:39,163 BIOSURVEILLANCE SPACE, BUT 2597 01:41:39,163 --> 01:41:42,901 THERE'S A CHIEF DATA A.I. 2598 01:41:42,901 --> 01:41:45,303 OFFICE, THEY HAVE A VERY SIMILAR 2599 01:41:45,303 --> 01:41:47,939 PROBLEM SET, AND IT'S A SUPER 2600 01:41:47,939 --> 01:41:49,674 SET OF MEDICAL DATA. 2601 01:41:49,674 --> 01:41:52,176 SO WE HAVE MEDICAL DATA AND THEN 2602 01:41:52,176 --> 01:41:57,015 ALL SORTS OF OTHER DATA, WHERE 2603 01:41:57,015 --> 01:41:59,517 THAT PERSON WENT, SICK, LOTS AND 2604 01:41:59,517 --> 01:42:03,021 LOTS AND LOTS OF DIFFERENT 2605 01:42:03,021 --> 01:42:04,756 DATASETS, THEY DEVELOPED AND 2606 01:42:04,756 --> 01:42:14,899 HAVE THIS UTILITY ACROSS THE 2607 01:42:14,899 --> 01:42:19,337 WORLD REALLY, PEOPLE WHO SOLVED 2608 01:42:19,337 --> 01:42:23,308 THE SCHEMA OF SEEMA PROBLEMS. 2609 01:42:23,308 --> 01:42:27,545 >> DR. SHERRY, IT'S GOOD TO SEE 2610 01:42:27,545 --> 01:42:27,912 YOU. 2611 01:42:27,912 --> 01:42:30,281 AND WHAT CAPTAIN OLSON WAS JUST 2612 01:42:30,281 --> 01:42:31,716 REFERRING TO ACTUALLY THE THREE 2613 01:42:31,716 --> 01:42:34,018 OF US ON THE SERVICES SIDE HAVE 2614 01:42:34,018 --> 01:42:35,887 BEEN TALKING ABOUT THIS. 2615 01:42:35,887 --> 01:42:38,323 IF YOU'RE INTERESTED, I'D BE 2616 01:42:38,323 --> 01:42:41,159 HAPPY TO HELP FACILITATE A 2617 01:42:41,159 --> 01:42:43,027 MEETING TO HELP SHARE SOME OF 2618 01:42:43,027 --> 01:42:44,829 YOUR RESOURCES AND YOURS AS 2619 01:42:44,829 --> 01:42:46,331 WELL, SUSAN, WITH SOME OF OUR 2620 01:42:46,331 --> 01:42:47,765 RESEARCHERS AND SOME OF OUR DATA 2621 01:42:47,765 --> 01:42:50,568 FOLKS BECAUSE I'M NOT SURE THAT 2622 01:42:50,568 --> 01:42:51,803 WE FULLY APPRECIATE THE SCOPE 2623 01:42:51,803 --> 01:42:54,305 AND LEVEL OF SOME OF THE 2624 01:42:54,305 --> 01:42:57,275 RESOURCES THAT YOU AND YOUR TEAM 2625 01:42:57,275 --> 01:43:00,411 HAVE, AND SO YOU CAN REACH OUT 2626 01:43:00,411 --> 01:43:03,381 TO ME AFTERWARDS AND YOU GOT MY 2627 01:43:03,381 --> 01:43:05,483 INFORMATION, BUT I WANT TO THROW 2628 01:43:05,483 --> 01:43:08,786 THAT OUT THERE, AS AN OFFER THAT 2629 01:43:08,786 --> 01:43:10,788 I'M GLAD TO FACILITATE THAT WITH 2630 01:43:10,788 --> 01:43:12,857 THE ARMY AND THE NAVY FOR A 2631 01:43:12,857 --> 01:43:14,726 FOLLOW-ON DISCUSSION IF YOU 2632 01:43:14,726 --> 01:43:14,959 DESIRE. 2633 01:43:14,959 --> 01:43:15,393 >> ABSOLUTELY. 2634 01:43:15,393 --> 01:43:16,995 THANK YOU SO MUCH. 2635 01:43:16,995 --> 01:43:19,530 AND DEFINITELY WE'LL BE IN TOUCH 2636 01:43:19,530 --> 01:43:22,367 TO FOLLOW UP ON THAT. 2637 01:43:22,367 --> 01:43:24,369 THERE'S WISDOM AROUND THE WORLD 2638 01:43:24,369 --> 01:43:26,004 IN DIFFERENT PARTS OF THE 2639 01:43:26,004 --> 01:43:26,971 GOVERNMENT ON THIS, AND I DON'T 2640 01:43:26,971 --> 01:43:28,406 THINK ANYONE HAS A LOCK ON THE 2641 01:43:28,406 --> 01:43:28,806 PROBLEM. 2642 01:43:28,806 --> 01:43:30,475 I DON'T KNOW THAT WE HAVE A 2643 01:43:30,475 --> 01:43:32,110 COMPLETE SET OF REQUIREMENTS SO 2644 01:43:32,110 --> 01:43:33,845 JUST LEARNING WHAT OTHERS ARE 2645 01:43:33,845 --> 01:43:35,380 DOING, THE WHOLE SET OF 2646 01:43:35,380 --> 01:43:36,714 CHALLENGES WOULD BE GREAT TO 2647 01:43:36,714 --> 01:43:39,784 HAVE A COMMUNITY PRESENCE IN 2648 01:43:39,784 --> 01:43:40,718 THIS SPACE. 2649 01:43:40,718 --> 01:43:41,686 THE OTHER THING, I DON'T KNOW IF 2650 01:43:41,686 --> 01:43:43,054 YOU SHARED THIS AT THE TABLE, 2651 01:43:43,054 --> 01:43:46,224 ISSUE I 2652 01:43:46,224 --> 01:43:47,658 COULDN'T HEAR IT. 2653 01:43:47,658 --> 01:43:52,463 DO WE HAVE ACADEMIC PARTNERS, 2654 01:43:52,463 --> 01:43:56,200 CIRCLING BACK TO PROMOTION AND 2655 01:43:56,200 --> 01:43:58,703 TENURE PROBLEM, IS THERE AN 2656 01:43:58,703 --> 01:44:00,338 ORGANIZATION WE CAN PARTNER 2657 01:44:00,338 --> 01:44:01,773 WITH, TO SERVE UP INFORMATION IN 2658 01:44:01,773 --> 01:44:03,007 A WAY THAT'S ACTIONABLE AND 2659 01:44:03,007 --> 01:44:04,042 USABLE TO THE COMMITTEES? 2660 01:44:04,042 --> 01:44:06,377 I DON'T HAVE A PARTNER IN MIND 2661 01:44:06,377 --> 01:44:08,446 AND WONDERING IF YOU KNOW OR 2662 01:44:08,446 --> 01:44:10,648 HAVE INSTITUTIONS THAT ARE 2663 01:44:10,648 --> 01:44:14,786 LOOKENING TO BE LEADERS IN THIS 2664 01:44:14,786 --> 01:44:19,490 SPACE. 2665 01:44:19,490 --> 01:44:20,792 >> I WAS GOING SAY (INAUDIBLE) 2666 01:44:20,792 --> 01:44:28,132 HAS BEEN DISCUSSING THERE'S A 2667 01:44:28,132 --> 01:44:33,704 ROUNDTABLE UNDER THE -- 2668 01:44:33,704 --> 01:44:34,672 SPECIFICALLY ON INCENTIVES. 2669 01:44:34,672 --> 01:44:35,573 >> DOES SOMEBODY HAVE THE RIGHT 2670 01:44:35,573 --> 01:44:37,875 PEOPLE AT THE TABLE FROM THE 2671 01:44:37,875 --> 01:44:39,277 ACADEMIC INSTITUTIONS WHO WOULD 2672 01:44:39,277 --> 01:44:43,881 CHAMPION THIS AND HAVE PILOTED 2673 01:44:43,881 --> 01:44:45,750 TO SOME EXTENT, YES. 2674 01:44:45,750 --> 01:44:48,486 >> AND THERE'S ALSO THE NATIONAL 2675 01:44:48,486 --> 01:44:50,288 ACADEMIES, BECAUSE I'M SURE -- 2676 01:44:50,288 --> 01:44:55,526 >> YEAH. 2677 01:44:55,526 --> 01:44:56,294 >> THAT'S THE ROUNDTABLE. 2678 01:44:56,294 --> 01:44:57,695 >> EX OFFICIO NOW. 2679 01:44:57,695 --> 01:45:01,432 >> WHO IS AU? 2680 01:45:01,432 --> 01:45:01,966 >> AAU AND APLU. 2681 01:45:01,966 --> 01:45:03,935 >> AMERICAN ACADEMY OF 2682 01:45:03,935 --> 01:45:04,268 UNIVERSITIES. 2683 01:45:04,268 --> 01:45:05,603 >> OH, OKAY. 2684 01:45:05,603 --> 01:45:15,813 >> THE OTHER ONE IS INSURE 2685 01:45:15,813 --> 01:45:19,550 (INAUDIBLE). 2686 01:45:19,550 --> 01:45:22,820 >> OTHER QUESTIONS, SUGGESTIONS? 2687 01:45:22,820 --> 01:45:25,456 >> SO, IT'S VERY EXCITING TO SEE 2688 01:45:25,456 --> 01:45:28,526 THE A.I. PROJECTS, AND COMING 2689 01:45:28,526 --> 01:45:32,730 FROM A HEALTH PROFESSION 2690 01:45:32,730 --> 01:45:34,799 BACKGROUND, BY THE WAY THIS IS 2691 01:45:34,799 --> 01:45:36,100 (INAUDIBLE) SO I'M CURIOUS ABOUT 2692 01:45:36,100 --> 01:45:39,704 A LOT OF THESE ARE RELATED TO 2693 01:45:39,704 --> 01:45:42,440 ACTION, EDUCATION, A.I. LEADERS. 2694 01:45:42,440 --> 01:45:44,041 SO, I'M JUST CURIOUS WHAT ARE 2695 01:45:44,041 --> 01:45:47,111 SOME OF THE, YOU KNOW, 2696 01:45:47,111 --> 01:45:49,313 RESOURCES, MORE TANGIBLE 2697 01:45:49,313 --> 01:45:51,382 RESOURCES, TRAINING PROGRAMS 2698 01:45:51,382 --> 01:45:53,151 INITIATIVES OR FUNDING 2699 01:45:53,151 --> 01:45:54,485 OPPORTUNITIES THAT NOW PROVIDE 2700 01:45:54,485 --> 01:45:56,521 OR IN PARTNERSHIP WITH ACADEMIC 2701 01:45:56,521 --> 01:46:01,459 INSTITUTIONS, WITH THE GOAL TO 2702 01:46:01,459 --> 01:46:02,660 ENHANCE RESEARCHERS, MEDICAL 2703 01:46:02,660 --> 01:46:04,762 STUDENTS, A.I. LEADERS TO HELP 2704 01:46:04,762 --> 01:46:05,796 LIKE MORE EFFECTIVELY LEVERAGE 2705 01:46:05,796 --> 01:46:09,467 THE USE OF A.I. IN LIKE 2706 01:46:09,467 --> 01:46:13,638 DIFFERENT STAGES OF RESEARCH IN 2707 01:46:13,638 --> 01:46:14,972 CLINICAL DECISION MAKING. 2708 01:46:14,972 --> 01:46:17,875 >> SO NIH HAS THE AIM AHEAD 2709 01:46:17,875 --> 01:46:21,512 PROGRAM, AND PRECISION A.I. 2710 01:46:21,512 --> 01:46:26,217 BRIDGE TO A.I. RATHER, A COMMON 2711 01:46:26,217 --> 01:46:28,819 FUND PROJECT. 2712 01:46:28,819 --> 01:46:29,320 NLM SUPPORTS INDIRECTLY. 2713 01:46:29,320 --> 01:46:30,354 WE'RE NOT LEAD I.C.s ON EITHER 2714 01:46:30,354 --> 01:46:30,922 OF THE PROJECTS. 2715 01:46:30,922 --> 01:46:35,393 A LOT OF THE WORK WE'RE DOING AS 2716 01:46:35,393 --> 01:46:37,828 AN INSTITUTE IS AROUND THE 2717 01:46:37,828 --> 01:46:38,796 OPERATIONAL APPLICATIONS OF A.I. 2718 01:46:38,796 --> 01:46:42,733 TRYING TO UNDERSTAND HOW DO YOU 2719 01:46:42,733 --> 01:46:44,936 INSERT THE RISK MITIGATION 2720 01:46:44,936 --> 01:46:46,237 FRAMEWORK CENTERED RESEARCH AND 2721 01:46:46,237 --> 01:46:46,671 DEVELOPMENT. 2722 01:46:46,671 --> 01:46:49,874 WE DO THAT IN OUR INTRAMURAL 2723 01:46:49,874 --> 01:46:54,445 PROGRAM, AND INTEROPERATIONAL 2724 01:46:54,445 --> 01:46:57,081 DIVISIONS LISTER HILL, USER 2725 01:46:57,081 --> 01:46:58,282 SERVICES COLLECTION DIVISION, 2726 01:46:58,282 --> 01:46:58,482 NCBI. 2727 01:46:58,482 --> 01:47:00,218 SUSAN, DO YOU WANT TO SPEAK TO 2728 01:47:00,218 --> 01:47:00,918 AIM AHEAD? 2729 01:47:00,918 --> 01:47:03,654 I THINK THAT'S ONE OF OUR 2730 01:47:03,654 --> 01:47:05,323 OFFICE'S PROGRAMS, RIGHT? 2731 01:47:05,323 --> 01:47:08,459 >> YEAH, AIM AHEAD IS A.I. 2732 01:47:08,459 --> 01:47:10,761 MACHINE LEARNING CONSORTIUM TO 2733 01:47:10,761 --> 01:47:12,630 ADVANCE THE REPRESENTATION OF 2734 01:47:12,630 --> 01:47:13,598 UNDERSERVED POPULATIONS AND 2735 01:47:13,598 --> 01:47:14,599 RESEARCHERS IN THE CONSTRUCTION 2736 01:47:14,599 --> 01:47:17,535 OF A.I. DATA AND ALGORITHMS, AS 2737 01:47:17,535 --> 01:47:19,303 WELL AS EMPLOYMENT OF THOSE 2738 01:47:19,303 --> 01:47:19,637 COMMUNITIES. 2739 01:47:19,637 --> 01:47:21,372 IT GOES ON WHAT'S CALLED 2740 01:47:21,372 --> 01:47:22,440 CO-DESIGN APPROACH WHICH MEANS 2741 01:47:22,440 --> 01:47:24,508 YOU DEVELOP THE ALGORITHMS WITH 2742 01:47:24,508 --> 01:47:26,410 THE COMMUNITY, THAT YOU WANT TO 2743 01:47:26,410 --> 01:47:27,378 SERVE. 2744 01:47:27,378 --> 01:47:29,814 SO WE HAVE CLINICIANS, 2745 01:47:29,814 --> 01:47:31,215 PHARMACISTS, WE HAVE COMPUTER 2746 01:47:31,215 --> 01:47:31,949 SCIENTISTS, BUT THE OVERRIDING 2747 01:47:31,949 --> 01:47:34,719 THEME IS THESE ARE ALL FROM 2748 01:47:34,719 --> 01:47:38,556 UNDERREPRESENTED UNIVERSITIES, 2749 01:47:38,556 --> 01:47:40,725 TRIBAL COMMUNITY COLLEGES, AND 2750 01:47:40,725 --> 01:47:42,827 ACTUAL COMMUNITY GROUPS. 2751 01:47:42,827 --> 01:47:46,864 AND IT'S OVER A 1200 2752 01:47:46,864 --> 01:47:50,668 INSTITUTION, WE HAVE OVER 2600 2753 01:47:50,668 --> 01:47:52,103 INVESTIGATORS, 1200-SOME 2754 01:47:52,103 --> 01:47:54,205 MENTEES, THERE'S FELLOWSHIPS, 2755 01:47:54,205 --> 01:47:56,841 CAPACITY BUILDING, THERE'S 2756 01:47:56,841 --> 01:47:57,708 INFRASTRUCTURE CAPABILITIES, NO 2757 01:47:57,708 --> 01:47:58,209 ONE-SIZE-FITS-ALL HERE. 2758 01:47:58,209 --> 01:48:00,311 YOU HAVE TO GO AND WORK WITH 2759 01:48:00,311 --> 01:48:01,646 THESE GROUPS TO UNDERSTAND WHAT 2760 01:48:01,646 --> 01:48:02,947 KIND OF INFRASTRUCTURE IS GOING 2761 01:48:02,947 --> 01:48:04,815 TO BEST SUIT THEIR NEEDS. 2762 01:48:04,815 --> 01:48:05,916 IT'S BEEN FANTASTIC. 2763 01:48:05,916 --> 01:48:08,786 IT'S BEEN A GREAT LEARNING 2764 01:48:08,786 --> 01:48:09,086 EXPERIENCE. 2765 01:48:09,086 --> 01:48:11,822 AND SO I JUST WANTED TO PUT THE 2766 01:48:11,822 --> 01:48:13,758 PLUG IN FOR AIM AHEAD AND ALSO 2767 01:48:13,758 --> 01:48:15,626 TELL YOU SOMETIMES, TWO YEARS 2768 01:48:15,626 --> 01:48:21,432 AGO I THINK, WE SUPPORTED WITH 2769 01:48:21,432 --> 01:48:25,970 NLM AN R25 PROGRAM FOR CURRICULA 2770 01:48:25,970 --> 01:48:27,438 AND STUDENT DEVELOPMENT AND 2771 01:48:27,438 --> 01:48:28,439 A.I., NOT NECESSARILY FOCUSED ON 2772 01:48:28,439 --> 01:48:29,473 UNDERREPRESENTED COMMUNITIES BUT 2773 01:48:29,473 --> 01:48:30,941 WE'VE GOT A LOT OF GREAT 2774 01:48:30,941 --> 01:48:32,143 COMMUNITIES PUTTING IN GRANTS, I 2775 01:48:32,143 --> 01:48:34,111 HAD THE PLEASURE OF GOING TO 2776 01:48:34,111 --> 01:48:35,346 WAKE FOREST AND SITTING IN ON 2777 01:48:35,346 --> 01:48:38,949 ONE OF THE CALLS WITH THE 2778 01:48:38,949 --> 01:48:41,252 P.I.s THERE WITH THAT R25. 2779 01:48:41,252 --> 01:48:42,887 I LEARNED IT'S SUPPORTING PEOPLE 2780 01:48:42,887 --> 01:48:46,590 WHO MAY NOT NECESSARILY HAVE 2781 01:48:46,590 --> 01:48:49,026 GOTTEN TRAINEE AWARDS TO WORK 2782 01:48:49,026 --> 01:48:49,994 WITH LARGER INSTITUTIONS LIKE 2783 01:48:49,994 --> 01:48:51,195 WAKE FOREST TO ACTUALLY DEVELOP 2784 01:48:51,195 --> 01:48:53,331 A.I. SO I WANT TO THANK NLM FOR 2785 01:48:53,331 --> 01:48:54,265 THEIR PMI. 2786 01:48:54,265 --> 01:48:57,335 THEY WERE THE ONLY I.C. WHO 2787 01:48:57,335 --> 01:48:58,636 PARTNERED ON THIS CONCEPT, IT 2788 01:48:58,636 --> 01:49:01,339 WAS REALLY A PLEASURE. 2789 01:49:01,339 --> 01:49:04,542 THERE'S A LOT OF HIDDEN TALENT 2790 01:49:04,542 --> 01:49:05,743 HERE, IF YOU DIG DOWN YOU'LL 2791 01:49:05,743 --> 01:49:08,813 FIND A LOT OF HIDDEN TALENT. 2792 01:49:08,813 --> 01:49:15,386 >> THIS IS NOT AN NLM RESOURCE, 2793 01:49:15,386 --> 01:49:18,889 BUT THERE'S DATA CARPENTRY. 2794 01:49:18,889 --> 01:49:20,324 INITIATIVE HAS BEEN PUSHING, SO 2795 01:49:20,324 --> 01:49:23,594 MY UNIVERSITY ACTUALLY HAS ONE 2796 01:49:23,594 --> 01:49:25,763 OF THESE, WHERE WE HAVE SOMEONE 2797 01:49:25,763 --> 01:49:28,499 WHO LEARNS HOW TO TEACH PEOPLE 2798 01:49:28,499 --> 01:49:29,166 R. 2799 01:49:29,166 --> 01:49:30,801 THE IDEA FOR BASIC SCIENTIST, 2800 01:49:30,801 --> 01:49:32,870 PEOPLE WHO DON'T NORMALLY DO 2801 01:49:32,870 --> 01:49:33,738 ANALYTICS WHO AT LEAST 2802 01:49:33,738 --> 01:49:36,073 UNDERSTAND SO WHEN THEY ARE 2803 01:49:36,073 --> 01:49:37,908 TALKING TO SOMEONE AS JIM 2804 01:49:37,908 --> 01:49:39,243 MENTIONED, THEY HAVE A BETTER 2805 01:49:39,243 --> 01:49:42,947 SENSE OF WHAT THEY ARE ASKING 2806 01:49:42,947 --> 01:49:46,217 FOR AND WHAT THEY CAN GIVE THEM, 2807 01:49:46,217 --> 01:49:47,218 SO THAT'S ANOTHER EFFORT. 2808 01:49:47,218 --> 01:49:50,154 I DON'T KNOW HOW IT SCALES OR 2809 01:49:50,154 --> 01:49:52,123 WHETHER THERE'S A PARTNERSHIP 2810 01:49:52,123 --> 01:49:52,790 WITH THE NIH. 2811 01:49:52,790 --> 01:49:54,759 BUT A LOT OF PEOPLE HAVE FOUND 2812 01:49:54,759 --> 01:49:58,596 THAT VERY USEFUL AT MY 2813 01:49:58,596 --> 01:49:59,463 UNIVERSITY BECAUSE IT'S SORT OF 2814 01:49:59,463 --> 01:50:01,198 BITE SIZED. 2815 01:50:01,198 --> 01:50:03,401 THEY TAKE A ONE-WEEK WORKSHOP 2816 01:50:03,401 --> 01:50:05,035 AND LEARN SOMETHING. 2817 01:50:05,035 --> 01:50:06,570 >> ABSOLUTELY I THINK WE'RE 2818 01:50:06,570 --> 01:50:13,244 PARTNERING IN SOME WAYS WITH THE 2819 01:50:13,244 --> 01:50:16,414 CARPENTRIES GROUPS AND PROCERA, 2820 01:50:16,414 --> 01:50:19,583 THERE'S A LOT OF PARTNERSHIPS 2821 01:50:19,583 --> 01:50:27,158 UNDER THE COVER, TAKING STEPS 2822 01:50:27,158 --> 01:50:27,591 FORWARD. 2823 01:50:27,591 --> 01:50:29,226 >> THE OTHER PARTNERSHIP I MIGHT 2824 01:50:29,226 --> 01:50:31,896 ADD THERE IS I THINK I DID A 2825 01:50:31,896 --> 01:50:33,431 BRIEF PASSING IN MY REMARKS, ANY 2826 01:50:33,431 --> 01:50:35,132 COMMUNITY OF PRACTICE BEING SET 2827 01:50:35,132 --> 01:50:38,469 UP FOR SUPPORTING A.I. 2828 01:50:38,469 --> 01:50:40,638 BETWEEN CIT AND NLM. 2829 01:50:40,638 --> 01:50:42,940 RUNNING TECHNICAL OFFICE HOURS. 2830 01:50:42,940 --> 01:50:45,476 IT'S A WAY THAT'S MORE ADVANCED 2831 01:50:45,476 --> 01:50:48,412 SUBJECT MATTER EXPERTS CAN 2832 01:50:48,412 --> 01:50:50,114 PROVIDE REALTIME SUPPORT, 2833 01:50:50,114 --> 01:50:54,285 ADVICE, DIRECT CONSULTATION TO 2834 01:50:54,285 --> 01:50:55,152 OTHER INTRAMURAL INVESTIGATORS 2835 01:50:55,152 --> 01:50:56,086 OR EXTRAMURAL PROGRAM OFFICERS 2836 01:50:56,086 --> 01:50:58,923 TRYING TO BUILD A.I. SERVICES 2837 01:50:58,923 --> 01:50:59,523 AND TOOLS HERE. 2838 01:50:59,523 --> 01:51:03,260 AND I DON'T KNOW HOW MUCH WE CAN 2839 01:51:03,260 --> 01:51:06,096 GROW THAT, I THINK IT'S, AGAIN, 2840 01:51:06,096 --> 01:51:08,265 DIANE MIGHT HAVE REMARKS ON THE 2841 01:51:08,265 --> 01:51:10,901 UPTAKE AND IF THERE'S PLANS ON 2842 01:51:10,901 --> 01:51:14,738 GROWTH BETWEEN THAT AND CIT. 2843 01:51:14,738 --> 01:51:19,577 >> YES, SO WE CREATED AN NIH 2844 01:51:19,577 --> 01:51:21,779 COMMUNITY OF PRACTICE AROUND 2845 01:51:21,779 --> 01:51:22,079 GEN-A.I. 2846 01:51:22,079 --> 01:51:23,614 YOU CAN IMAGINE EVERYONE WAS 2847 01:51:23,614 --> 01:51:26,050 EXCITED TO GET INTO THAT BUT 2848 01:51:26,050 --> 01:51:31,188 IT'S NOT PLUG AND PLAY, OUR 2849 01:51:31,188 --> 01:51:32,523 ENVIRONMENT STRIVES, SO WE BY 2850 01:51:32,523 --> 01:51:35,359 WORD OF MOUTH HAVE OVER 600 2851 01:51:35,359 --> 01:51:37,661 MEMBERS AND IT CONTINUES TO 2852 01:51:37,661 --> 01:51:39,930 GROW, TONS OF ENGAGEMENT. 2853 01:51:39,930 --> 01:51:41,699 IT'S A GREAT PLACE FOR EVERYONE 2854 01:51:41,699 --> 01:51:43,400 BECAUSE WE'RE LEARNING AS WE GO 2855 01:51:43,400 --> 01:51:47,371 AS WELL, AND A LOT OF THESE 2856 01:51:47,371 --> 01:51:55,513 TOOLS ARE CHANGING BECAUSE 2857 01:51:55,513 --> 01:51:57,581 AMAZON, GOOGLE, MICROSOFT, HOW 2858 01:51:57,581 --> 01:52:01,185 IT LOOKS TOMORROW, SO WE'RE 2859 01:52:01,185 --> 01:52:03,153 WORKING ACROSS USE CASES, 2860 01:52:03,153 --> 01:52:04,555 SIMILAR USE CASES. 2861 01:52:04,555 --> 01:52:08,592 WE DON'T NEED TO CREATE 27 2862 01:52:08,592 --> 01:52:08,993 DIFFERENT CUSTOMER 2863 01:52:08,993 --> 01:52:13,664 SERVICE-RELATED CHATBOTS BUT 2864 01:52:13,664 --> 01:52:20,538 SOME WANT TO USE OTHER 2865 01:52:20,538 --> 01:52:20,804 RESOURCES. 2866 01:52:20,804 --> 01:52:22,106 KNOWLEDGE SOURCES. 2867 01:52:22,106 --> 01:52:23,307 WE'RE WORKING TOGETHER, TRYING 2868 01:52:23,307 --> 01:52:26,677 FIND THESE COLLABORATIONS SO 2869 01:52:26,677 --> 01:52:28,879 WE'RE PULLING PEOPLE WITH 2870 01:52:28,879 --> 01:52:31,148 DIFFERENT STRENGTHS THAT MIGHT 2871 01:52:31,148 --> 01:52:38,622 BE BETTER CONTENT ARRANGEMENTS 2872 01:52:38,622 --> 01:52:40,257 OTHER ORGANIZATIONS HAVE 2873 01:52:40,257 --> 01:52:41,158 TECHNICAL SKILLS, AGAIN ANOTHER 2874 01:52:41,158 --> 01:52:45,296 GREAT PLACE WE WERE TALKING 2875 01:52:45,296 --> 01:52:47,264 ABOUT THAT, NLM RISK GROUP, 2876 01:52:47,264 --> 01:52:49,333 TALKING TO EACH OTHER, WHY ARE 2877 01:52:49,333 --> 01:52:53,837 WE DOING THAT, WHAT IS THAT 2878 01:52:53,837 --> 01:52:54,905 INTENTION, ANOTHER WAY TO THINK 2879 01:52:54,905 --> 01:52:57,007 WHAT YOU'RE DOING HERE AND IS 2880 01:52:57,007 --> 01:53:00,844 THIS THE RIGHT RESOURCE, THE 2881 01:53:00,844 --> 01:53:02,446 RIGHT WAY TO PRESENT THE MESSAGE 2882 01:53:02,446 --> 01:53:04,114 YOU'RE TRYING ON ACCOMPLISH. 2883 01:53:04,114 --> 01:53:04,982 WE STARTED THOSE TECHNICAL 2884 01:53:04,982 --> 01:53:05,649 OFFICE HOURS. 2885 01:53:05,649 --> 01:53:10,220 WE HAVE TWO DAYS A MONTH. 2886 01:53:10,220 --> 01:53:12,756 ONE IS GENERAL PURPOSE, WE GET 2887 01:53:12,756 --> 01:53:14,191 PRESENTERS WHO WANTS TO SHARE 2888 01:53:14,191 --> 01:53:16,794 USE CASES, BUT ALSO WE HAVE 2889 01:53:16,794 --> 01:53:20,531 OFFICE HOURS WHERE WE'RE TRYING 2890 01:53:20,531 --> 01:53:22,166 GET PEOPLE, BARRIERS TO WORKING 2891 01:53:22,166 --> 01:53:27,771 THROUGH THEIR CHALLENGES. 2892 01:53:27,771 --> 01:53:30,207 I ALSO WANT TO PLUG THE NETWORK 2893 01:53:30,207 --> 01:53:33,143 RESOURCES SINCE WE'RE TALKING 2894 01:53:33,143 --> 01:53:41,685 ABOUT TRAI A HUGE TRAINING 2895 01:53:41,685 --> 01:53:45,656 RESOURCE TO GET INVOLVED, AND 2896 01:53:45,656 --> 01:53:49,660 THEY ARE AVAILABLE THROUGH THE 2897 01:53:49,660 --> 01:53:50,327 NETWORK. 2898 01:53:50,327 --> 01:53:51,629 >> I APPRECIATE ALL THESE 2899 01:53:51,629 --> 01:53:54,365 DIFFERENT KIND OF EDUCATIONAL 2900 01:53:54,365 --> 01:53:56,266 INITIATIVES BECAUSE AS MENTIONED 2901 01:53:56,266 --> 01:53:58,636 LIKE THE, FOR EXAMPLE, THE 2902 01:53:58,636 --> 01:54:02,573 TECHNOLOGY IS FAST, WE DON'T 2903 01:54:02,573 --> 01:54:03,874 NECESSARILY TEACH OUR USERS OR 2904 01:54:03,874 --> 01:54:12,516 STUDENTS TO STEP OUT, 2905 01:54:12,516 --> 01:54:13,517 EVER-EVOLVING ADVANCEMENTS OF 2906 01:54:13,517 --> 01:54:16,887 TECHNOLOGIES, SO WHAT WE FOUND 2907 01:54:16,887 --> 01:54:18,856 THAT IS INVOLVING LIKE THE NURSE 2908 01:54:18,856 --> 01:54:19,456 IN THE CO-DESIGN PROCESS 2909 01:54:19,456 --> 01:54:19,690 HELPFUL. 2910 01:54:19,690 --> 01:54:22,860 THERE ARE A LOT OF LIKE 2911 01:54:22,860 --> 01:54:27,331 DISCUSSIONS, ALSO, YOU KNOW, 2912 01:54:27,331 --> 01:54:32,036 HESITANCY USING GEN-A.I. IN 2913 01:54:32,036 --> 01:54:34,505 EDUCATION, THERE ARE PLAGIARISM 2914 01:54:34,505 --> 01:54:35,005 ACTIVITIES, PROACTIVELY 2915 01:54:35,005 --> 01:54:38,676 INVOLVING THE NURSE IN THE 2916 01:54:38,676 --> 01:54:40,344 PROCESS OF LIKE CRITICALLY 2917 01:54:40,344 --> 01:54:41,779 EVALUATE OR MAKE JUDGMENTS HOW 2918 01:54:41,779 --> 01:54:45,482 THEY PLAY A ROLE IN LEARNING IS 2919 01:54:45,482 --> 01:54:48,986 QUITE HELPFUL, SO I'M 2920 01:54:48,986 --> 01:54:49,319 APPRECIATIVE. 2921 01:54:49,319 --> 01:54:50,721 >> YEAH, BRINGS SOMETHING TO 2922 01:54:50,721 --> 01:54:54,558 MIND, NOT IN EDUCATION SPACE. 2923 01:54:54,558 --> 01:54:55,793 A COUPLE MONTHS AGO I DON'T KNOW 2924 01:54:55,793 --> 01:54:58,495 IF YOU HEARD HERE BUT NURSES AT 2925 01:54:58,495 --> 01:54:59,697 CEDARS-SINAI ON THE WEST COAST 2926 01:54:59,697 --> 01:55:03,467 WENT ON STRIKE ABOUT THE USE OF 2927 01:55:03,467 --> 01:55:03,867 A.I. 2928 01:55:03,867 --> 01:55:06,370 AND WHAT IT LED US TO THINK 2929 01:55:06,370 --> 01:55:08,372 ABOUT, BECAUSE THEY WERE 2930 01:55:08,372 --> 01:55:12,543 BASICALLY PUSHING BACK AGAINST 2931 01:55:12,543 --> 01:55:14,478 THE IDEA OF THE HYPE WITHOUT 2932 01:55:14,478 --> 01:55:14,845 EVALUATION. 2933 01:55:14,845 --> 01:55:20,084 I'M WONDERING WHAT THE NLM OR 2934 01:55:20,084 --> 01:55:21,618 ODSS, WHAT'S BEING DONE. 2935 01:55:21,618 --> 01:55:23,287 THERE'S A LOT OF EXCITEMENT 2936 01:55:23,287 --> 01:55:25,789 ABOUT A.I., DEFINITELY. 2937 01:55:25,789 --> 01:55:27,758 BUT THE EVALUATION PART, THE 2938 01:55:27,758 --> 01:55:31,028 EQUIVALENT OF, YOU KNOW, WHAT 2939 01:55:31,028 --> 01:55:33,997 THE FDA IS AFTER THE DRUG IS 2940 01:55:33,997 --> 01:55:35,299 OUT, POST-MARKET SURVEILLANCE, 2941 01:55:35,299 --> 01:55:38,235 WHERE IS THE POST-MARKET 2942 01:55:38,235 --> 01:55:48,746 SURVEILLANCE STUDIES FOR A.I.? 2943 01:55:53,817 --> 01:55:54,918 >> WELL, (INAUDIBLE) MIGHT BE 2944 01:55:54,918 --> 01:56:05,262 ONE PLACE TO START. 2945 01:56:06,563 --> 01:56:09,233 THEY HAVE WANTED THIS FROM A.I. 2946 01:56:09,233 --> 01:56:10,534 SURGE PERSPECTIVE, AND 2947 01:56:10,534 --> 01:56:19,943 PROBABLY -- SURVEYED ALL THE 2948 01:56:19,943 --> 01:56:20,811 SPECIALTIES. 2949 01:56:20,811 --> 01:56:26,617 FIRST REALLY GOOD AT VALIDATING 2950 01:56:26,617 --> 01:56:30,120 TECH, GENERATIVE A.I. MORE 2951 01:56:30,120 --> 01:56:31,455 WORKFLOW ANALYSIS PROBLEMS BUT 2952 01:56:31,455 --> 01:56:31,989 TEST PROBLEMS. 2953 01:56:31,989 --> 01:56:39,997 SO ONE OF THE QUESTIONS HOW TO 2954 01:56:39,997 --> 01:56:41,098 START DOING THIS. 2955 01:56:41,098 --> 01:56:47,104 THERE'S THE IDEA OF TECHNICAL 2956 01:56:47,104 --> 01:56:49,640 COMPONENT OF BILLING IS HOW 2957 01:56:49,640 --> 01:56:56,947 PATHOLOGY HAS GOTTEN (INAUDIBLE) 2958 01:56:56,947 --> 01:57:00,250 THE OTHER PART IS VALIDATING THE 2959 01:57:00,250 --> 01:57:05,222 MODELS IS HELPFUL, BUT THE 2960 01:57:05,222 --> 01:57:07,791 MODELS NEED RELEVANT DATA TO 2961 01:57:07,791 --> 01:57:08,058 VALIDATE. 2962 01:57:08,058 --> 01:57:08,292 >> OKAY. 2963 01:57:08,292 --> 01:57:14,131 >> SO IT TURNS OUT WE HAVE THIS 2964 01:57:14,131 --> 01:57:16,667 PROBLEM WHERE BACK TO THE 2965 01:57:16,667 --> 01:57:17,734 ISLANDS, MAYO CLINIC DOESN'T 2966 01:57:17,734 --> 01:57:19,837 NEED ANY HELP BECAUSE THEY HAVE 2967 01:57:19,837 --> 01:57:21,805 THE SUBSPECIALISTS IN ALL THE 2968 01:57:21,805 --> 01:57:25,108 THINGS, ALL THE EDUCATIONS 2969 01:57:25,108 --> 01:57:25,642 ALREADY. 2970 01:57:25,642 --> 01:57:29,379 IT'S TWO-PERSON SHOP IN RURAL 2971 01:57:29,379 --> 01:57:31,548 COLORADO WHERE YOU MAY NOT HAVE 2972 01:57:31,548 --> 01:57:33,183 EVER ENCOUNTERED THE CASE YOU'RE 2973 01:57:33,183 --> 01:57:37,788 MOST AFRAID OF. 2974 01:57:37,788 --> 01:57:42,960 SO, THE WAY TO GET AROUND THE 2975 01:57:42,960 --> 01:57:46,430 PROBLEM REFERENCE SUPPLIERS OF 2976 01:57:46,430 --> 01:57:52,002 STANDARD MATERIALS, JUST ORDER 2977 01:57:52,002 --> 01:57:53,837 SOME SODIUM SOLUTION 2978 01:57:53,837 --> 01:57:56,273 (INAUDIBLE), YOU COULD ORDER 2979 01:57:56,273 --> 01:58:00,777 DIGITAL STANDARD MATERIALS FOR 2980 01:58:00,777 --> 01:58:03,847 PURCHASE ACCESS TO MATERIALS 2981 01:58:03,847 --> 01:58:06,250 HELD AT ACCESS CONTROLLED 2982 01:58:06,250 --> 01:58:08,118 ENCLAVE, RIGHT, PUSH THE 2983 01:58:08,118 --> 01:58:11,955 ALGORITHM TO THAT, AND HAVE 2984 01:58:11,955 --> 01:58:14,258 VALIDATED AGAINST DATA YOU WILL 2985 01:58:14,258 --> 01:58:15,125 NEVER HAVE IN YOUR INSTITUTION 2986 01:58:15,125 --> 01:58:18,095 BUT AT LEAST YOU CAN KNOW IT 2987 01:58:18,095 --> 01:58:21,899 WORKS AGAINST THAT DATA. 2988 01:58:21,899 --> 01:58:24,201 YOU KNOW, PROSTATE CANCER, I 2989 01:58:24,201 --> 01:58:27,938 NEVER SAW ONE OF ON GUAM BUT 2990 01:58:27,938 --> 01:58:29,139 THAT'S THE ONE, THAT'S THE 2991 01:58:29,139 --> 01:58:36,813 PERSON WHO NEEDS THE HELP. 2992 01:58:36,813 --> 01:58:37,781 BIG HOSPITALS, THE METROPOLITAN, 2993 01:58:37,781 --> 01:58:42,052 THE BIG METROPOLITAN AREAS DON'T 2994 01:58:42,052 --> 01:58:42,953 CARE. 2995 01:58:42,953 --> 01:58:46,223 IT'S, YOU KNOW, PEOPLE IN SMALL 2996 01:58:46,223 --> 01:58:56,767 SPACE THAT HAVE THESE PROBLEMS. 2997 01:58:57,701 --> 01:59:01,872 >> BUILDING ON WHAT HE SAID, THE 2998 01:59:01,872 --> 01:59:03,440 MITRE CHI ASSURANCE LAB 2999 01:59:03,440 --> 01:59:04,641 PARTNERING TO TEST THE CONCEPT 3000 01:59:04,641 --> 01:59:07,444 HE DESCRIBED WITH A FEW 3001 01:59:07,444 --> 01:59:09,646 RESEARCHERS TO PILOT BIOMEDICAL 3002 01:59:09,646 --> 01:59:13,917 SPACE THAT AREN'T PATHOLOGY, ANY 3003 01:59:13,917 --> 01:59:16,553 A.I., ANY LEVEL OF MATURITY 3004 01:59:16,553 --> 01:59:18,088 MODEL, EARLY, YOU KNOW, LATER, 3005 01:59:18,088 --> 01:59:20,958 WE JUST WANT TO TEST OUT WHAT WE 3006 01:59:20,958 --> 01:59:24,761 NEED TO KNOW, WHAT WE DON'T 3007 01:59:24,761 --> 01:59:26,863 KNOW, YET CLINICAL BASIC 3008 01:59:26,863 --> 01:59:28,265 SCIENCE, SO I'M REALLY EXCITED 3009 01:59:28,265 --> 01:59:30,567 TO PARTNER WITH MITRE AND 3010 01:59:30,567 --> 01:59:34,504 ASSURANCE LAB ON THIS TO SEE HOW 3011 01:59:34,504 --> 01:59:35,605 WE CAN SUBSTANTIATE GOING 3012 01:59:35,605 --> 01:59:35,839 FORWARD. 3013 01:59:35,839 --> 01:59:36,907 THAT'S ONE OTHER. 3014 01:59:36,907 --> 01:59:38,442 NLM IS ALSO THINKING ABOUT A.I. 3015 01:59:38,442 --> 01:59:41,845 ASSURANCE AND A.I. RISK 3016 01:59:41,845 --> 01:59:42,612 MANAGEMENT FRAMEWORK SO MAYBE 3017 01:59:42,612 --> 01:59:45,449 I'LL PASS THE BALL TO STEVE. 3018 01:59:45,449 --> 01:59:46,450 >> THANKS, SUSAN. 3019 01:59:46,450 --> 01:59:49,019 I JUST WANTED TO MAYBE TAKE THE 3020 01:59:49,019 --> 01:59:50,587 CONVERSATION UP A LITTLE BIT AND 3021 01:59:50,587 --> 01:59:55,092 THINK BACK TO DR. TABAK'S 3022 01:59:55,092 --> 01:59:56,626 REMARKS YESTERDAY, ABOUT THE 3023 01:59:56,626 --> 01:59:58,261 NLM, BEING REIMAGINED FOR THE 3024 01:59:58,261 --> 02:00:06,069 FUTURE, THE NEEDS AROUND DATA 3025 02:00:06,069 --> 02:00:08,271 FEDERATION, AROUND STANDARDS, 3026 02:00:08,271 --> 02:00:10,107 INTEROPERABILITY IN A LARGE 3027 02:00:10,107 --> 02:00:10,974 ECOSYSTEM OF REPOSITORIES, ASK 3028 02:00:10,974 --> 02:00:15,479 THE BOARD ARE THERE ANY OTHER 3029 02:00:15,479 --> 02:00:16,980 SPECIFIC DIRECTIONS MAYBE THAT 3030 02:00:16,980 --> 02:00:19,282 NLM SHOULD CONSIDER IN THE 3031 02:00:19,282 --> 02:00:21,618 FUTURE AS WE THINK ABOUT 3032 02:00:21,618 --> 02:00:26,123 STRATEGIC PLANS OR HOW TO CREATE 3033 02:00:26,123 --> 02:00:27,758 PRIORITIES IN RESPONSE TO DR. 3034 02:00:27,758 --> 02:00:29,292 BERTAGNOLLI'S VISION AND 3035 02:00:29,292 --> 02:00:30,594 PRIORITIES FOR NIH? 3036 02:00:30,594 --> 02:00:33,663 WE TALKED A LOT ABOUT A.I. BUT 3037 02:00:33,663 --> 02:00:36,366 THERE'S OTHER -- CLINICAL CARE, 3038 02:00:36,366 --> 02:00:37,034 UNDERSERVED COMMUNITY, LISTENING 3039 02:00:37,034 --> 02:00:38,468 TO SEE IF THERE ARE OTHER 3040 02:00:38,468 --> 02:00:39,669 PRIORITY AREAS THE BOARD CAN 3041 02:00:39,669 --> 02:00:42,439 THINK OF THAT WE SHOULD MAKE 3042 02:00:42,439 --> 02:00:46,243 SURE WE'RE ATTENDING TO. 3043 02:00:46,243 --> 02:00:47,778 >> SO, STEVE, THIS IS JOHN 3044 02:00:47,778 --> 02:00:48,078 AGAIN. 3045 02:00:48,078 --> 02:00:52,816 I THINK I WOULD CHALLENGE YOU TO 3046 02:00:52,816 --> 02:00:55,786 THINK WHERE DR. LARRY WAS GOING 3047 02:00:55,786 --> 02:00:57,754 YET, DR. TABAK, BIGGER INTO THE 3048 02:00:57,754 --> 02:00:58,422 FUTURE. 3049 02:00:58,422 --> 02:01:00,590 WE SEE A LOT OF DIFFERENT 3050 02:01:00,590 --> 02:01:01,992 DATABASES COMING OUT THAT 3051 02:01:01,992 --> 02:01:03,860 EMULATE WHAT YOU'RE DOING. 3052 02:01:03,860 --> 02:01:05,729 BUT WE SEE CHALLENGES DOWN THE 3053 02:01:05,729 --> 02:01:09,099 ROAD LIKE THE STANDARD TYPE 3054 02:01:09,099 --> 02:01:09,332 THINGS. 3055 02:01:09,332 --> 02:01:12,169 SHOULD NNLM BE MORE OF THE 3056 02:01:12,169 --> 02:01:13,370 STANDARD REPOSITORY TO VALIDATE 3057 02:01:13,370 --> 02:01:16,640 SOME OF THESE OTHER SYSTEMS OF 3058 02:01:16,640 --> 02:01:17,174 SYSTEMS? 3059 02:01:17,174 --> 02:01:18,842 AND SHOULD WE START THINKING IN 3060 02:01:18,842 --> 02:01:19,509 THAT NATURE? 3061 02:01:19,509 --> 02:01:20,944 I'M NOT SAYING GET AWAY FROM 3062 02:01:20,944 --> 02:01:22,846 WHAT YOU'RE DOING NOW WITH 3063 02:01:22,846 --> 02:01:24,748 PubMed OR OTHER THINGS BUT 3064 02:01:24,748 --> 02:01:25,949 THINKING IN THE FUTURE WHAT IS 3065 02:01:25,949 --> 02:01:29,219 GOING TO BE THE STANDARD OF 3066 02:01:29,219 --> 02:01:30,220 THOSE VALIDATIONS, WHAT IS GOING 3067 02:01:30,220 --> 02:01:32,322 TO BE THE CRITERIA? 3068 02:01:32,322 --> 02:01:37,994 THINK OF IT AS A STANDARD, JATO, 3069 02:01:37,994 --> 02:01:40,497 HOW THEY INSPECT, COME UP WITH 3070 02:01:40,497 --> 02:01:41,932 STANDARDS APPLIED IN THE SYSTEM 3071 02:01:41,932 --> 02:01:45,869 SO THEY DON'T HAVE TO BE THE 3072 02:01:45,869 --> 02:01:48,171 REFERENCE LIBRARY BUT HAVE TO BE 3073 02:01:48,171 --> 02:01:50,574 THE REFERENCE OF THE REFERENCE 3074 02:01:50,574 --> 02:01:51,007 LIBRARY. 3075 02:01:51,007 --> 02:01:52,342 SO I WOULD ONLY SAY WITHOUT 3076 02:01:52,342 --> 02:01:54,177 BEING AN EXPERT IN YOUR FIELD, 3077 02:01:54,177 --> 02:01:58,115 AND I'M NOWHERE NEAR THAT, IS 3078 02:01:58,115 --> 02:02:00,750 THINKING ABOUT WHERE THE PUCK IS 3079 02:02:00,750 --> 02:02:02,819 GOING AS OPPOSED TO WHERE IT'S 3080 02:02:02,819 --> 02:02:07,324 AT, AND I WOULD JUST NOT WANT 3081 02:02:07,324 --> 02:02:08,859 THIS GREAT INSTITUTION TO BE -- 3082 02:02:08,859 --> 02:02:10,827 TO LOOK UP ONE DAY AND REALIZE 3083 02:02:10,827 --> 02:02:13,763 THEY ARE JUST ANOTHER PLAYER IN 3084 02:02:13,763 --> 02:02:16,500 THE FIELD AS OPPOSED TO THE 3085 02:02:16,500 --> 02:02:20,103 LEADER OF THE PACK. 3086 02:02:20,103 --> 02:02:21,638 >> SO, ONE OF THE TENSIONS WE 3087 02:02:21,638 --> 02:02:23,273 HAVE TO RESOLVE IS AN 3088 02:02:23,273 --> 02:02:26,843 EXISTENTIAL QUESTION TO THE 3089 02:02:26,843 --> 02:02:28,645 LIBRARY, WHICH CENTERS ON THE 3090 02:02:28,645 --> 02:02:32,482 UNIVERSALITY AND COMPLETENESS OF 3091 02:02:32,482 --> 02:02:32,916 OUR COLLECTIONS. 3092 02:02:32,916 --> 02:02:35,218 PART OF THE VALUE AND POWER I 3093 02:02:35,218 --> 02:02:37,821 THINK WE HAVE OF UNIFORMLY 3094 02:02:37,821 --> 02:02:39,689 APPLYING STANDARDS ACROSS OUR 3095 02:02:39,689 --> 02:02:40,891 OWN CONTENT, THAT'S SOMETHING WE 3096 02:02:40,891 --> 02:02:42,225 CONTROL, RIGHT? 3097 02:02:42,225 --> 02:02:45,829 AND WE CAN WORK TO THE QUALITY 3098 02:02:45,829 --> 02:02:48,331 STANDARDS WE SET FOR OURSELVES, 3099 02:02:48,331 --> 02:02:52,369 ALLOWS US TO CREATE LARGE 3100 02:02:52,369 --> 02:02:54,004 UNIFORM CORPUSES OF DATA. 3101 02:02:54,004 --> 02:02:59,943 AS WE FED RATE THAT, HOW DO -- 3102 02:02:59,943 --> 02:03:01,478 AS WE FEDERATE THAT, ATTEND TO 3103 02:03:01,478 --> 02:03:04,848 THE QUALITY, MAYBE THAT'S WHAT 3104 02:03:04,848 --> 02:03:07,817 YOU'RE SAYING ABOUT BEING 3105 02:03:07,817 --> 02:03:09,452 STANDARD OF STANDARDS, THERE'S 3106 02:03:09,452 --> 02:03:11,988 FRAMEWORKS, THERE'S GOING TO BE 3107 02:03:11,988 --> 02:03:12,989 SOME VALUE PREMISED 3108 02:03:12,989 --> 02:03:14,591 CERTIFICATIONS LIKE SUSAN 3109 02:03:14,591 --> 02:03:16,026 DESCRIBED WITH THE GLOBAL 3110 02:03:16,026 --> 02:03:18,228 BIODATA CATALYST OR OTHER 3111 02:03:18,228 --> 02:03:21,831 COMMUNITIES OF PRACTICE, BUT I 3112 02:03:21,831 --> 02:03:22,799 STILL THINK THERE'S TENSION 3113 02:03:22,799 --> 02:03:25,969 AROUND HOW MANY DATA NEEDS TO BE 3114 02:03:25,969 --> 02:03:28,939 CENTRAL VERSUS DO THINGS LIKE 3115 02:03:28,939 --> 02:03:29,372 COMPUTE. 3116 02:03:29,372 --> 02:03:30,240 BECAUSE ON SOME COMPUTE YOU HAVE 3117 02:03:30,240 --> 02:03:32,876 TO BRING DATA TOGETHER IN 3118 02:03:32,876 --> 02:03:33,109 MEMORY. 3119 02:03:33,109 --> 02:03:34,477 AS PROBLEMS AND QUESTIONS GET 3120 02:03:34,477 --> 02:03:40,584 BIGGER WE NYING NEED TO NEED AT 3121 02:03:40,584 --> 02:03:41,718 REDUCING TASKS, REDUCE THE MAP 3122 02:03:41,718 --> 02:03:43,186 ALGORITHM OR THINK THERE ARE 3123 02:03:43,186 --> 02:03:44,487 SOME THINGS THAT ARE VALUABLE 3124 02:03:44,487 --> 02:03:47,357 ENOUGH WE WANT TO HAVE CENTRAL 3125 02:03:47,357 --> 02:03:47,657 COPIES? 3126 02:03:47,657 --> 02:03:50,060 SO THAT IF SOMETHING DISAPPEARS 3127 02:03:50,060 --> 02:03:52,128 FOR WHATEVER REASONS RELATED TO 3128 02:03:52,128 --> 02:03:53,063 SUSTAINABILITY OR CHANGE IN 3129 02:03:53,063 --> 02:03:54,030 MISSION WE HAVE A COPY OF THE 3130 02:03:54,030 --> 02:03:54,431 DATA. 3131 02:03:54,431 --> 02:03:56,733 AND I DON'T KNOW THE ANSWER BUT 3132 02:03:56,733 --> 02:04:01,438 I WOULD HEAR THE BOARD THINKING 3133 02:04:01,438 --> 02:04:03,406 AROUND HOW MUCH THEY EXPECT 3134 02:04:03,406 --> 02:04:05,242 LIBRARIES TO HAVE A COMPLETE 3135 02:04:05,242 --> 02:04:06,243 COLLECTION VERSUS THE CATALOG 3136 02:04:06,243 --> 02:04:07,877 THAT CAN POINT YOU TO WHERE TO 3137 02:04:07,877 --> 02:04:08,845 GET THE DATA. 3138 02:04:08,845 --> 02:04:11,815 IT MIGHT NOT BE THERE, RIGHT? 3139 02:04:11,815 --> 02:04:16,419 CATALOG ENTRIES COULD DISAPPEAR, 3140 02:04:16,419 --> 02:04:18,722 THEY STOP PAYING THE BILL, I 3141 02:04:18,722 --> 02:04:20,357 HAVE AN ANXIETY ABOUT TURFING 3142 02:04:20,357 --> 02:04:23,827 OUT TOO MUCH BUT WE CAN'T HOLD 3143 02:04:23,827 --> 02:04:24,861 THE WORLD'S DATA EITHER. 3144 02:04:24,861 --> 02:04:26,596 THERE ARE LIMITS TO WHAT WE CAN 3145 02:04:26,596 --> 02:04:28,098 DO FIGURING OUT HOW TO BE 3146 02:04:28,098 --> 02:04:29,332 STRATEGIC AND PUTTING MOST VALUE 3147 02:04:29,332 --> 02:04:31,468 IN OF INTO THINGS WE NEED TO 3148 02:04:31,468 --> 02:04:31,735 COLLECT. 3149 02:04:31,735 --> 02:04:33,603 I THINK THAT'S A TOPICAL AREA WE 3150 02:04:33,603 --> 02:04:36,072 WANT TO UNDERSTAND IN OUR NEXT 3151 02:04:36,072 --> 02:04:37,507 STRATEGIC PLAN AND INVITE YOU TO 3152 02:04:37,507 --> 02:04:39,376 COMMENT NOW, AND IF THAT BRINGS 3153 02:04:39,376 --> 02:04:42,112 UM SOME PRIORITIES OR YOUR OWN 3154 02:04:42,112 --> 02:04:44,080 EXPERIENCE AROUND WORKING WITH 3155 02:04:44,080 --> 02:04:50,553 FEDERATED DATA SYSTEMS AND 3156 02:04:50,553 --> 02:04:51,087 CAUTIONS. 3157 02:04:51,087 --> 02:04:55,792 >> DOES ANYONE HAVE A RESPONSE. 3158 02:04:55,792 --> 02:04:58,295 >> YES, VERY GOOD POINT, REALLY 3159 02:04:58,295 --> 02:05:00,597 IMPORTANT DISCUSSION, I THINK 3160 02:05:00,597 --> 02:05:02,365 IT'S WORTH CONSIDERING HOW TO 3161 02:05:02,365 --> 02:05:03,433 INCORPORATE A COMMUNITY THAT 3162 02:05:03,433 --> 02:05:07,170 WANTS TO CONTROL THEIR OWN DATA, 3163 02:05:07,170 --> 02:05:08,305 THINKING ABOUT INDIGENOUS PEOPLE 3164 02:05:08,305 --> 02:05:13,310 IN THE U.S., THERE'S BEEN A PUSH 3165 02:05:13,310 --> 02:05:15,178 FOR INDIGENOUS DATA LATELY, ONE 3166 02:05:15,178 --> 02:05:15,812 DATABASE ESTABLISHED BY 3167 02:05:15,812 --> 02:05:16,846 INDIGENOUS COMMUNITIES SO THEY 3168 02:05:16,846 --> 02:05:18,381 CAN CONTROL THEIR OWN DATA. 3169 02:05:18,381 --> 02:05:19,249 I THINK IT'S REALLY IMPORTANT 3170 02:05:19,249 --> 02:05:22,986 FOR NIH TO THINK ABOUT HOW CAN 3171 02:05:22,986 --> 02:05:24,521 YOU WORK, FOR EXAMPLE, GROUPS 3172 02:05:24,521 --> 02:05:26,289 THAT WANT TO CONTROL THEIR OWN 3173 02:05:26,289 --> 02:05:28,124 DATA WITHOUT THAT DATA BEING 3174 02:05:28,124 --> 02:05:30,660 SILOED AND NOT BEING PART OF THE 3175 02:05:30,660 --> 02:05:32,295 ECOSYSTEM THAT NIH IS BUILDING 3176 02:05:32,295 --> 02:05:32,462 OFF. 3177 02:05:32,462 --> 02:05:33,730 HOW DO YOU SOLVE THAT PROBLEM, I 3178 02:05:33,730 --> 02:05:36,333 DON'T KNOW, BUT I THINK IT WILL 3179 02:05:36,333 --> 02:05:37,100 BE IMPORTANT PRIORITY IN THE 3180 02:05:37,100 --> 02:05:39,836 FUTURE TO FIGURE OUT HOW TO 3181 02:05:39,836 --> 02:05:44,574 SOLVE THIS PROBLEM ABOUT A DATA 3182 02:05:44,574 --> 02:05:45,241 SOVEREIGNTY, WHILE MAINTAINING 3183 02:05:45,241 --> 02:05:46,676 INTEGRITY OF THE WHOLE 3184 02:05:46,676 --> 02:05:46,976 ECOSYSTEM. 3185 02:05:46,976 --> 02:05:48,211 >> GREAT POINT. 3186 02:05:48,211 --> 02:05:50,513 WE'RE WORKING THROUGH -- WE HAVE 3187 02:05:50,513 --> 02:05:54,784 AN OFFICE FOR TRIBAL RELATION 3188 02:05:54,784 --> 02:05:55,752 AND REGULAR CONVERSATION, ON OUR 3189 02:05:55,752 --> 02:05:58,054 STRATEGIC PLAN TO HAVE THAT 3190 02:05:58,054 --> 02:06:00,256 CONVERSATION, HOW DO WE 3191 02:06:00,256 --> 02:06:06,396 REPRESENT INDEX OR CATALOG WHILE 3192 02:06:06,396 --> 02:06:07,464 GIVING THEM AUTONOMY WITH 3193 02:06:07,464 --> 02:06:09,232 ACCESS, WHAT THEY WANT TO 3194 02:06:09,232 --> 02:06:10,100 DISCLOSE, WHAT'S DIRECTED TO 3195 02:06:10,100 --> 02:06:10,967 THEM FOR DISCOVERY. 3196 02:06:10,967 --> 02:06:20,910 THAT MIGHT BE A MODEL FOR OTHER 3197 02:06:20,910 --> 02:06:22,612 CONSTITUENCIES. 3198 02:06:22,612 --> 02:06:25,949 SO DATASET CATALOG IS OUR 3199 02:06:25,949 --> 02:06:33,823 STRATEGY TO PREVENT 3200 02:06:33,823 --> 02:06:37,227 VULCANIZATION, THERE ARE GOING 3201 02:06:37,227 --> 02:06:40,163 TO BE FORCES THAT WILL WANT 3202 02:06:40,163 --> 02:06:40,997 COMMERCIAL OPERATIONS THAT 3203 02:06:40,997 --> 02:06:43,032 COLLECT DATA AS PART OF 3204 02:06:43,032 --> 02:06:45,668 PUBLISHING OR PREPARING THEIR 3205 02:06:45,668 --> 02:06:47,303 OWN INFORMATION SYSTEMS TO 3206 02:06:47,303 --> 02:06:49,906 FIREWALL AND LICENSE THAT DATA 3207 02:06:49,906 --> 02:06:50,340 FOR TRAINING. 3208 02:06:50,340 --> 02:06:55,412 AND SO I THINK WE NEED TO BE 3209 02:06:55,412 --> 02:06:58,148 LOOKING STRONGLY AT CREATIVE 3210 02:06:58,148 --> 02:06:59,983 COMS LICENSES, MAKING SURE THEY 3211 02:06:59,983 --> 02:07:01,618 ARE EXPRESSIVE AND RIGHTS ARE 3212 02:07:01,618 --> 02:07:03,953 RETAINING FOR A.I. TRAINING SETS 3213 02:07:03,953 --> 02:07:06,122 AND WE HAVE REACHED-THROUGH 3214 02:07:06,122 --> 02:07:08,525 PRINCIPLES TO REUSE DATA AND 3215 02:07:08,525 --> 02:07:09,426 SEMANTIC INFORMATION, DERIVED 3216 02:07:09,426 --> 02:07:10,827 KNOWLEDGE SET, WITHOUT HAVING TO 3217 02:07:10,827 --> 02:07:13,229 GO BACK AND RELICENSE OR 3218 02:07:13,229 --> 02:07:14,664 RESUBSCRIBE ANOTHER CLASS OF 3219 02:07:14,664 --> 02:07:14,998 INFORMATION. 3220 02:07:14,998 --> 02:07:16,199 AND I'M NOT SAYING THAT WILL 3221 02:07:16,199 --> 02:07:19,035 HAPPEN WITH TRIBAL AT ALL. 3222 02:07:19,035 --> 02:07:24,507 I'M JUST SAYING I THINK THE 3223 02:07:24,507 --> 02:07:26,476 ISOLATION OR THE AUTONOMY THAT 3224 02:07:26,476 --> 02:07:29,746 WE ARE RESPECTING IN THE TRIBAL 3225 02:07:29,746 --> 02:07:31,080 COMMUNITY HARASS ANALOGS IN 3226 02:07:31,080 --> 02:07:33,817 INDUSTRY, I WANT THAT SAME KIND 3227 02:07:33,817 --> 02:07:35,318 OF AUTONOMY OR COMMERCIAL 3228 02:07:35,318 --> 02:07:36,553 AUTONOMY, AND WE HAVE TO BE 3229 02:07:36,553 --> 02:07:39,155 CAREFUL, HE THINK, ABOUT WHAT 3230 02:07:39,155 --> 02:07:40,056 ARE THE PRINCIPLES AROUND THE 3231 02:07:40,056 --> 02:07:45,929 FREE FLOW OF INFORMATION FOR 3232 02:07:45,929 --> 02:07:46,162 SCIENCE. 3233 02:07:46,162 --> 02:07:48,231 WE HAVEN'T TALKED MUCH ABOUT 3234 02:07:48,231 --> 02:07:49,999 TRAINING FOR A.I., AND 3235 02:07:49,999 --> 02:07:52,135 DISCLOSING WHAT INFORMATION AND 3236 02:07:52,135 --> 02:07:53,236 ALGORITHMIC AUDITING, HOW A.I. 3237 02:07:53,236 --> 02:07:54,938 SETS ARE TRAINED, I THINK 3238 02:07:54,938 --> 02:07:57,040 THERE'S CONVERSATION A MOMENT 3239 02:07:57,040 --> 02:07:59,642 AGO AROUND RELIABILITY, TRUST, 3240 02:07:59,642 --> 02:08:01,411 AND UNDERSTANDING, WHAT'S BEING 3241 02:08:01,411 --> 02:08:03,513 MEASURED AND HOW DO WE DESCRIBE 3242 02:08:03,513 --> 02:08:04,547 FITNESS OF OUR SERVICES. 3243 02:08:04,547 --> 02:08:06,182 THAT MIGHT BE A FRAMEWORK TO 3244 02:08:06,182 --> 02:08:09,619 ALSO GET INTO SOME OF THESE 3245 02:08:09,619 --> 02:08:15,558 PRINCIPLES THAT CAN WE MAIN 3246 02:08:15,558 --> 02:08:18,828 OBJECTIVE, ANCHORED TO PUBLIC 3247 02:08:18,828 --> 02:08:21,130 PRINCIPLES, TRUST OF INFORMATION 3248 02:08:21,130 --> 02:08:22,499 OR SAFETY FOR TAXPAYERS. 3249 02:08:22,499 --> 02:08:23,199 >> THANKS, STEVE. 3250 02:08:23,199 --> 02:08:24,968 I'M GOING TO LOOK THIS WAY 3251 02:08:24,968 --> 02:08:27,904 INSTEAD OF AT THE SCREEN. 3252 02:08:27,904 --> 02:08:30,874 A NUMBER OF DR. BERTAGNOLLI'S 3253 02:08:30,874 --> 02:08:33,042 PRIORITIES DEAL WITH OR RELY ON 3254 02:08:33,042 --> 02:08:34,577 ELECTRONIC HEALTH RECORD DATA, 3255 02:08:34,577 --> 02:08:35,578 AND I THINK GENERAL 3256 02:08:35,578 --> 02:08:36,846 ACKNOWLEDGMENT THAT THE QUALITY 3257 02:08:36,846 --> 02:08:39,182 OF ELECTRONIC HEALTH RECORD DATA 3258 02:08:39,182 --> 02:08:40,183 IS POOR AND NEEDS IMPROVEMENT 3259 02:08:40,183 --> 02:08:42,785 BUT I DON'T THINK ANYBODY'S 3260 02:08:42,785 --> 02:08:43,920 OWNING THAT PROBLEM. 3261 02:08:43,920 --> 02:08:45,522 YOU KNOW, I DON'T THINK VENDORS 3262 02:08:45,522 --> 02:08:46,623 ARE OWNING IT. 3263 02:08:46,623 --> 02:08:48,691 I'M PRETTY SURE THE HEALTH 3264 02:08:48,691 --> 02:08:51,561 SYSTEMS DON'T SEE IT AS A 3265 02:08:51,561 --> 02:08:51,961 PRIORITY. 3266 02:08:51,961 --> 02:08:53,630 PRACTITIONERS DEFINITELY DON'T 3267 02:08:53,630 --> 02:08:55,498 SEE IT HAVE INCENTIVE TO APPROVE 3268 02:08:55,498 --> 02:08:56,900 DATA WITH THE IDEA TO HELP 3269 02:08:56,900 --> 02:08:58,434 SOMEBODY ELSE'S RESEARCH. 3270 02:08:58,434 --> 02:08:59,402 SOME IS INFORMATICS RESEARCH 3271 02:08:59,402 --> 02:09:01,471 NEEDED TO FIGURE OUT HOW DO WE 3272 02:09:01,471 --> 02:09:03,339 ACTUALLY IMPROVE THE QUALITY OF 3273 02:09:03,339 --> 02:09:05,441 DATA, INCREASE QUANTITY OF DATA, 3274 02:09:05,441 --> 02:09:07,176 WITHOUT INCREASING OR PERHAPS 3275 02:09:07,176 --> 02:09:08,177 REDUCING THE BURDEN ON PEOPLE 3276 02:09:08,177 --> 02:09:10,446 WHO HAVE TO CAPTURE THE DATA. 3277 02:09:10,446 --> 02:09:11,447 SO THAT RESEARCH I THINK VERY 3278 02:09:11,447 --> 02:09:16,586 MUCH IS IN THE NIH WHEELHOUSE, 3279 02:09:16,586 --> 02:09:18,788 AND WHILE INVESTIGATOR INITIATED 3280 02:09:18,788 --> 02:09:22,091 STUDIES MIGHT ADDRESS THAT AND 3281 02:09:22,091 --> 02:09:25,762 PANELS MIGHT GET THAT THAT'S A 3282 02:09:25,762 --> 02:09:28,197 PRIORITY THE NLM COULD PUSH THAT 3283 02:09:28,197 --> 02:09:31,134 AGENDA, HOW ARE WE GOING TO 3284 02:09:31,134 --> 02:09:36,172 CEASE THAT SORT OF TWO-SIDED 3285 02:09:36,172 --> 02:09:37,173 SWORD WHILE NOT BURDENING THE 3286 02:09:37,173 --> 02:09:39,809 PEOPLE WHO HAVE TO COLLECT IT. 3287 02:09:39,809 --> 02:09:40,543 >> ABSOLUTELY. 3288 02:09:40,543 --> 02:09:43,079 AND I THINK THAT IS ONE OF 3289 02:09:43,079 --> 02:09:44,614 DIRECTOR BERTAGNOLLI'S 3290 02:09:44,614 --> 02:09:45,715 PRIORITIES. 3291 02:09:45,715 --> 02:09:48,451 SHE'S WORKING WITH CONGRESS, I 3292 02:09:48,451 --> 02:09:51,521 THINK, THE LAST 12 MONTHS ABOUT 3293 02:09:51,521 --> 02:09:53,489 THIS VERY CONCEPT. 3294 02:09:53,489 --> 02:09:54,791 AND EAGERLY LOOKING FORWARD TO 3295 02:09:54,791 --> 02:09:56,392 THE NEXT LEVEL ROUND OF 3296 02:09:56,392 --> 02:09:57,860 APPROPRIATION HEARINGS. 3297 02:09:57,860 --> 02:09:59,495 I THINK NIH MIGHT BE DIRECTED TO 3298 02:09:59,495 --> 02:10:01,798 DO SOME NEW WORK IN THIS SPACE 3299 02:10:01,798 --> 02:10:04,200 BY CONGRESS, AND BE FORCED TO DO 3300 02:10:04,200 --> 02:10:06,636 IT, SO LET'S SEE IF WE CAN 3301 02:10:06,636 --> 02:10:08,137 ELEVATE THIS THROUGH SOME NEW 3302 02:10:08,137 --> 02:10:08,571 PROGRAMS. 3303 02:10:08,571 --> 02:10:10,440 BUT I THINK WE HAVE TO WAIT AND 3304 02:10:10,440 --> 02:10:14,377 SEE WHAT HAPPENS IN THE 3305 02:10:14,377 --> 02:10:15,578 APPROPRIATION CYCLE. 3306 02:10:15,578 --> 02:10:17,113 BUT THAT BEING SAID, THERE'S 3307 02:10:17,113 --> 02:10:21,951 WORK WE CONTINUE TO INVEST IN 3308 02:10:21,951 --> 02:10:23,586 AROUND FHIR AND INTEROPERABILITY 3309 02:10:23,586 --> 02:10:26,656 OF EHR AND REPRESENTATION OF 3310 02:10:26,656 --> 02:10:27,423 DATA. 3311 02:10:27,423 --> 02:10:30,393 THERE'S DRIVER CASES THAT WOULD 3312 02:10:30,393 --> 02:10:32,595 BE EASIER TO DO IF CONGRESS 3313 02:10:32,595 --> 02:10:34,764 DECIDES THIS IS A PRIORITY FOR 3314 02:10:34,764 --> 02:10:34,998 NLM. 3315 02:10:34,998 --> 02:10:37,066 SO, I THINK WE HAVE TO SEE WHAT 3316 02:10:37,066 --> 02:10:43,640 HAPPENS WITH OUR NEXT ROUND OF 3317 02:10:43,640 --> 02:10:44,007 APPROPRIATIONS. 3318 02:10:44,007 --> 02:10:46,042 >> I'LL JUST REITERATE WHAT I 3319 02:10:46,042 --> 02:10:49,012 MENTIONED EARLIER, BECAUSE I DO 3320 02:10:49,012 --> 02:10:51,080 SEE A CONNECTION BETWEEN WHAT 3321 02:10:51,080 --> 02:10:54,484 WAS IT, LABORATORY CLINIC UNITY 3322 02:10:54,484 --> 02:10:56,886 AND CARE FOR HEALTH. 3323 02:10:56,886 --> 02:11:01,290 AS I MENTIONED, WITH THOSE 3324 02:11:01,290 --> 02:11:03,159 NON-ACADEMIC PHYSICIANS, ADVANCE 3325 02:11:03,159 --> 02:11:04,927 PRACTICE NURSES, ALSO WITH THE 3326 02:11:04,927 --> 02:11:06,229 PUBLIC. 3327 02:11:06,229 --> 02:11:10,066 I MEAN, JUST THINKING WHETHER 3328 02:11:10,066 --> 02:11:13,569 IT'S BETTER ALGORITHMS OR 3329 02:11:13,569 --> 02:11:15,438 SMALLER LANGUAGE MODELS OR 3330 02:11:15,438 --> 02:11:19,942 WHATEVER RAG TECHNOLOGY, BUT HOW 3331 02:11:19,942 --> 02:11:21,144 DO YOU HELP COMMUNITY WITH 3332 02:11:21,144 --> 02:11:25,181 TRYING TO BRING IN THAT 3333 02:11:25,181 --> 02:11:27,483 INFORMATION FROM CT.GOV, FROM 3334 02:11:27,483 --> 02:11:28,885 GENETIC DATABASE, 3335 02:11:28,885 --> 02:11:30,019 MedlinePlus AND THE 3336 02:11:30,019 --> 02:11:34,624 LITERATURE, AND WHETHER OR NOT 3337 02:11:34,624 --> 02:11:36,259 SOMEONE CAN GET EITHER 3338 02:11:36,259 --> 02:11:38,027 SCIENTIFIC PROMPT, SO SCIENTIFIC 3339 02:11:38,027 --> 02:11:41,631 RESPONSE, OR EVEN A LAYPERSON'S 3340 02:11:41,631 --> 02:11:45,702 RESPONSE, BUT -- BECAUSE WE TALK 3341 02:11:45,702 --> 02:11:48,638 ABOUT DATA, YOU KNOW, BEING A 3342 02:11:48,638 --> 02:11:50,606 PART OF THE BOARD, BUT, YOU 3343 02:11:50,606 --> 02:11:53,476 KNOW, I CONSIDER MYSELF 3344 02:11:53,476 --> 02:11:55,011 INFORMATION ECOLOGIST, AND I'M 3345 02:11:55,011 --> 02:11:58,514 HEAVILY BIASED TOWARDS THE NEXT 3346 02:11:58,514 --> 02:11:59,615 STEP OF DATA. 3347 02:11:59,615 --> 02:12:00,950 THE INFORMATION, HOW DO WE 3348 02:12:00,950 --> 02:12:05,722 TRANSLATE IT TO IMPROVE OUTCOMES 3349 02:12:05,722 --> 02:12:06,055 AND POLICIES. 3350 02:12:06,055 --> 02:12:07,924 SO IS WE'LL HAVE PEOPLE TO FIGHT 3351 02:12:07,924 --> 02:12:10,893 WITH THE DATA AND FIGHT WITH 3352 02:12:10,893 --> 02:12:12,095 INFORMATION, BUT SOMEHOW I CAN 3353 02:12:12,095 --> 02:12:15,698 SEE OVER THE LAST TWO DAYS FROM 3354 02:12:15,698 --> 02:12:17,800 DR. TABAK'S PRESENTATION AND 3355 02:12:17,800 --> 02:12:20,403 FROM WHAT YOU MENTIONED TODAY 3356 02:12:20,403 --> 02:12:21,304 THAT THERE'S DEFINITELY WORK 3357 02:12:21,304 --> 02:12:23,139 THAT CAN BE DONE. 3358 02:12:23,139 --> 02:12:25,241 I TOTALLY RESPECT HOW WE FOCUS 3359 02:12:25,241 --> 02:12:27,643 WITH THE RESEARCH AND BASICS AND 3360 02:12:27,643 --> 02:12:29,312 THEORETICAL, BUT AT THE SAME 3361 02:12:29,312 --> 02:12:31,914 TIME WE HAVE TO THINK ABOUT THE 3362 02:12:31,914 --> 02:12:34,784 COMMUNITY AS WELL AND VALUABLE 3363 02:12:34,784 --> 02:12:39,455 RESOURCES HERE ACROSS THE ENTIRE 3364 02:12:39,455 --> 02:12:43,059 I.C. HERE, AS WELL. 3365 02:12:43,059 --> 02:12:45,495 >> SO, I THINK THERE'S A GREAT 3366 02:12:45,495 --> 02:12:48,097 POINT, AND THAT REALLY IS THAT 3367 02:12:48,097 --> 02:12:50,867 FINAL, YOU KNOW, MILE TO CONNECT 3368 02:12:50,867 --> 02:12:53,603 ALL OF THE HEALTH INFORMATION, 3369 02:12:53,603 --> 02:12:56,439 MAKING IT ACTIONABLE, AND 3370 02:12:56,439 --> 02:13:00,510 RELATABLE, AND AVAILABLE TO 3371 02:13:00,510 --> 02:13:01,811 COMMUNITY MEMBERS. 3372 02:13:01,811 --> 02:13:03,646 YOU KNOW, WE HAVE MEDLINE PLUS. 3373 02:13:03,646 --> 02:13:08,050 WE HAVE HEALTH INFORMATION 3374 02:13:08,050 --> 02:13:10,553 SYSTEMS THAT ARE WORKING I THINK 3375 02:13:10,553 --> 02:13:12,922 WITH AGGREGATE LEVEL DATA BUT 3376 02:13:12,922 --> 02:13:14,624 THERE'S STRONG OPPORTUNITY TO DO 3377 02:13:14,624 --> 02:13:16,125 SOMETHING MORE PERSONAL AND 3378 02:13:16,125 --> 02:13:17,226 INDIVIDUALIZED BASED ON 3379 02:13:17,226 --> 02:13:17,627 INFORMATION. 3380 02:13:17,627 --> 02:13:19,962 THE CAUTION IS HOW DO WE DO THAT 3381 02:13:19,962 --> 02:13:21,264 WITHOUT PRACTICING MEDICINE, 3382 02:13:21,264 --> 02:13:21,497 RIGHT? 3383 02:13:21,497 --> 02:13:23,132 WE'RE TRYING TO BUILD 3384 02:13:23,132 --> 02:13:23,900 INFORMATION SYSTEMS, WE DON'T 3385 02:13:23,900 --> 02:13:28,171 WANT TO BECOME, YOU KNOW, AN 3386 02:13:28,171 --> 02:13:31,541 IMPERFECT ANALOG FOR HEALTH 3387 02:13:31,541 --> 02:13:32,642 CARE. 3388 02:13:32,642 --> 02:13:36,245 WE NEED EXPERTISE. 3389 02:13:36,245 --> 02:13:38,881 THERE'S A PLACE TO SYNTHESIZE 3390 02:13:38,881 --> 02:13:40,650 WHAT'S KNOWN IN REAL TIME OUT OF 3391 02:13:40,650 --> 02:13:41,717 CLINICAL TRIALS, HEALTH 3392 02:13:41,717 --> 02:13:43,953 INFORMATION, OUT OF BEST 3393 02:13:43,953 --> 02:13:46,022 PRACTICES AND RESEARCH, 3394 02:13:46,022 --> 02:13:47,957 PubMed AND PMC, TO TRAIN 3395 02:13:47,957 --> 02:13:49,625 GENERATIVE MODELS THAT MAYBE 3396 02:13:49,625 --> 02:13:50,493 HAVE INTERROGATIVE RELATIONSHIP 3397 02:13:50,493 --> 02:13:53,262 WITH PATIENTS THAT IS PLAIN 3398 02:13:53,262 --> 02:13:53,596 LANGUAGE. 3399 02:13:53,596 --> 02:13:54,797 I THINK THAT'S SOMETHING TO 3400 02:13:54,797 --> 02:13:57,200 TEST, HOW DO WE DO THIS, KEEP IT 3401 02:13:57,200 --> 02:13:59,068 FACTUALLY UP TO DATE, HOW OFTEN 3402 02:13:59,068 --> 02:14:01,871 DO WE HAVE TO REMAIN MODELS? 3403 02:14:01,871 --> 02:14:04,740 THERE'S A WHOLE OPERATIONAL 3404 02:14:04,740 --> 02:14:06,709 FRAMEWORK AND QUESTIONS. 3405 02:14:06,709 --> 02:14:09,212 DOES NLM DO THIS, IS IT NIH 3406 02:14:09,212 --> 02:14:09,512 ENTERPRISE? 3407 02:14:09,512 --> 02:14:11,080 A LOT OF THAT INFORMATION IS 3408 02:14:11,080 --> 02:14:16,552 ALSO OUT WITH THE ICs, DISEASE 3409 02:14:16,552 --> 02:14:16,986 SPECIALTY AREAS. 3410 02:14:16,986 --> 02:14:20,122 MAYBE IT'S A PARTNERSHIP WITH 3411 02:14:20,122 --> 02:14:20,289 CIT. 3412 02:14:20,289 --> 02:14:22,325 THAT'S WHY I THINK THE CELL 3413 02:14:22,325 --> 02:14:24,093 KNOWLEDGE PROGRAM I ILLUSTRATED 3414 02:14:24,093 --> 02:14:26,929 IS A TEST INTO THAT SPACE DOING 3415 02:14:26,929 --> 02:14:29,031 SOMETHING NARROW JUST AROUND 3416 02:14:29,031 --> 02:14:31,200 CELLS AND ONLY -- - THE PROBLEM 3417 02:14:31,200 --> 02:14:32,501 GETS RICHER AND INFORMATIVE AS 3418 02:14:32,501 --> 02:14:36,572 YOU MOVE TO PATIENTS IN WHOLE 3419 02:14:36,572 --> 02:14:37,440 HEALTH BUT HARDER, RECURRENT, 3420 02:14:37,440 --> 02:14:39,942 WE'RE LEARNING HOW TO CRAWL, 3421 02:14:39,942 --> 02:14:43,880 WHAT'S THE BUDGET, FRAMEWORK, 3422 02:14:43,880 --> 02:14:44,547 EXPERTISE, THE COMPUTATIONAL 3423 02:14:44,547 --> 02:14:48,017 LIFT TO OPERATE THAT, THAT WE 3424 02:14:48,017 --> 02:14:48,384 CAN GENERALIZE. 3425 02:14:48,384 --> 02:14:51,988 IT'S MY GOAL AND VISION, SPEAK 3426 02:14:51,988 --> 02:14:53,256 FOR MYSELF AS ACTING DIRECTOR, 3427 02:14:53,256 --> 02:14:54,857 LEAVE IT TO THE PERMANENT 3428 02:14:54,857 --> 02:14:56,792 DIRECTOR TO SET THE LONGER-TERM 3429 02:14:56,792 --> 02:14:58,961 PRIORITIES FOR NLM BUT A SPACE 3430 02:14:58,961 --> 02:15:00,596 WE'RE RICH WITH DATA, A 3431 02:15:00,596 --> 02:15:02,231 CHALLENGE AND OPPORTUNITY TO 3432 02:15:02,231 --> 02:15:04,000 TURN THAT INTO KNOWLEDGE ACROSS 3433 02:15:04,000 --> 02:15:05,568 ALL OUR SYSTEMS. 3434 02:15:05,568 --> 02:15:06,502 I HEAR THAT. 3435 02:15:06,502 --> 02:15:08,804 AND I THINK WE CAN TAKE THAT 3436 02:15:08,804 --> 02:15:11,874 BACK AND CONTINUE TO WORK WITH 3437 02:15:11,874 --> 02:15:13,309 OUR SERVICE TEAMS AND FIGURE OUT 3438 02:15:13,309 --> 02:15:16,345 WHAT ARE THE NEXT STEPS WE CAN 3439 02:15:16,345 --> 02:15:18,547 DO TO EMPOWER THAT, FOR RURAL 3440 02:15:18,547 --> 02:15:18,848 COMMUNITIES. 3441 02:15:18,848 --> 02:15:23,019 I HEARD A LOT ABOUT 3442 02:15:23,019 --> 02:15:23,686 DISADVANTAGED AND HEALTH 3443 02:15:23,686 --> 02:15:26,622 EQUITIES, THAT WOULD GIVE US 3444 02:15:26,622 --> 02:15:28,724 MEANINGFUL ADVANCE IN THEIR 3445 02:15:28,724 --> 02:15:30,826 ACCESS TO INFORMATION. 3446 02:15:30,826 --> 02:15:31,460 >> THANK YOU. 3447 02:15:31,460 --> 02:15:36,899 WE'RE COMING UP ON TIME BUT 3448 02:15:36,899 --> 02:15:39,568 SUSAN HAD A -- 3449 02:15:39,568 --> 02:15:43,072 >> I JUST WANTED TO FOLLOW UP ON 3450 02:15:43,072 --> 02:15:46,475 THE TRIBAL DATA SOVEREIGNTY, THE 3451 02:15:46,475 --> 02:15:48,010 TRIBAL RESEARCH OFFICE IS 3452 02:15:48,010 --> 02:15:51,080 WORKING ON THE TRIBAL DATA 3453 02:15:51,080 --> 02:15:53,683 SOVEREIGNTY DATA SHARING POLICY 3454 02:15:53,683 --> 02:15:58,554 WITH HHS, ACROSS NIH, LED BY 3455 02:15:58,554 --> 02:16:00,156 KARINA WALTERS, 574 TRIBAL 3456 02:16:00,156 --> 02:16:02,158 NATIONS, HAVING WORKED WITH A 3457 02:16:02,158 --> 02:16:04,327 FEW OF THESE, THEY ALL HAVE 3458 02:16:04,327 --> 02:16:05,428 DIFFERENT CONCEPTS OF WHAT DATA 3459 02:16:05,428 --> 02:16:10,032 SHARING WOULD LOOK LIKE UNDER 3460 02:16:10,032 --> 02:16:12,435 THEIR CONTROL, IT'S NOT A 3461 02:16:12,435 --> 02:16:13,502 ONE-SIZE-FITS-ALL. 3462 02:16:13,502 --> 02:16:17,707 I WOULD SET UP A TRIBAL LEADER 3463 02:16:17,707 --> 02:16:19,475 REPOSITORY FOR RADx, NOT EASY. 3464 02:16:19,475 --> 02:16:21,978 SHE'S GOING TO HOST A WORKSHOP 3465 02:16:21,978 --> 02:16:24,380 NEXT WEEK, 16th AND 17th, I 3466 02:16:24,380 --> 02:16:25,681 BELIEVE, A DEEP DIVE TO DISCUSS 3467 02:16:25,681 --> 02:16:26,482 THIS FURTHER. 3468 02:16:26,482 --> 02:16:28,985 I CAN SEE ABOUT SHARING THIS 3469 02:16:28,985 --> 02:16:30,953 INFORMATION WITH THE BOARD IF 3470 02:16:30,953 --> 02:16:34,223 YOU'RE INTERESTED. 3471 02:16:34,223 --> 02:16:39,161 IT'S A REALLY IMPORTANT PROBLEM. 3472 02:16:39,161 --> 02:16:42,798 SO GLAD WE HAVE KATRINA TO WORK 3473 02:16:42,798 --> 02:16:43,532 ON THAT. 3474 02:16:43,532 --> 02:16:45,167 >> FROM THE SLIDES THERE'S A 3475 02:16:45,167 --> 02:16:46,802 DATA USE ONTOLOGY BEING 3476 02:16:46,802 --> 02:16:48,004 DEVELOPED, I THINK VERY VALUABLE 3477 02:16:48,004 --> 02:16:53,142 FOR THESE KINDS OF APPLICATIONS 3478 02:16:53,142 --> 02:16:54,944 TO FINE TUNE WHAT IS A COMPONENT 3479 02:16:54,944 --> 02:16:57,213 OF THE DATA USE AGREEMENT THAT 3480 02:16:57,213 --> 02:16:58,280 CAN BE TAILORED TO DIFFERENT 3481 02:16:58,280 --> 02:16:59,715 COMMUNITIES AND THINGS LIKE 3482 02:16:59,715 --> 02:17:00,816 THAT. 3483 02:17:00,816 --> 02:17:03,019 IT'S AN INTERESTING STANDARD TO 3484 02:17:03,019 --> 02:17:08,557 TAKE A LOOK AT. 3485 02:17:08,557 --> 02:17:12,528 >> WELL, THANK YOU. 3486 02:17:12,528 --> 02:17:13,629 WE'RE COMING UP ON TIME. 3487 02:17:13,629 --> 02:17:16,132 THANK YOU FOR A RICH DISCUSSION. 3488 02:17:16,132 --> 02:17:21,937 WE'RE GOING TO MOVE TO 3489 02:17:21,937 --> 02:17:30,713 PRESENTATION OF REGENTS AWARD. 3490 02:17:30,713 --> 02:17:40,756 3491 02:17:46,662 --> 02:17:48,030 I'M RECOGNIZING THE RECIPIENT 3492 02:17:48,030 --> 02:17:49,698 FOR SCHOLARSHIP OR TECHNICAL 3493 02:17:49,698 --> 02:17:52,301 ACHIEVEMENT THIS YEAR. 3494 02:17:52,301 --> 02:17:54,937 ESTABLISHED IN 1970, BY THE 3495 02:17:54,937 --> 02:17:56,338 BOARD OF REGENTS RECOGNIZING 3496 02:17:56,338 --> 02:17:58,441 INDEPENDENT CREATIVITY, USE OF 3497 02:17:58,441 --> 02:18:05,214 SCHOLARLY OR TECHNICAL 3498 02:18:05,214 --> 02:18:05,881 ACHIEVEMENTS THAT ENRICH 3499 02:18:05,881 --> 02:18:08,284 BIOMEDICINE, A NEW PRODUCT OR 3500 02:18:08,284 --> 02:18:09,151 METHODOLOGY THAT IMPROVES 3501 02:18:09,151 --> 02:18:11,687 BIOMEDICAL KNOWLEDGE OR SERVICE. 3502 02:18:11,687 --> 02:18:13,355 THE BOARD CONSIDERS THIS AWARD 3503 02:18:13,355 --> 02:18:15,357 THE HIGHEST HONOR IT CAN GIVE TO 3504 02:18:15,357 --> 02:18:17,927 A MEMBER OF THE NLM STAFF. 3505 02:18:17,927 --> 02:18:21,997 WE HAVE TWO AWARDS THIS YEAR FOR 3506 02:18:21,997 --> 02:18:24,066 THE REGENTS AWARD. 3507 02:18:24,066 --> 02:18:27,670 FIRST IS PRESENTED TO DR. LU, A 3508 02:18:27,670 --> 02:18:31,707 SENIOR INVESTIGATOR IN THE 3509 02:18:31,707 --> 02:18:34,343 COMPUTATIONAL BIOLOGY BRANCH, 3510 02:18:34,343 --> 02:18:37,546 INTRAMURAL RESEARCH, DEVELOPED 3511 02:18:37,546 --> 02:18:39,048 AN ALGORITHM, THAT ANALYZES FREE 3512 02:18:39,048 --> 02:18:41,350 TEXT FROM CLINICAL NOTES IN A 3513 02:18:41,350 --> 02:18:41,917 PATIENT'S ELECTRONIC HEALTH 3514 02:18:41,917 --> 02:18:44,086 RECORD TO HELP MATCH PATIENTS 3515 02:18:44,086 --> 02:18:45,521 WITH ENROLLMENT CRITERIA FOR 3516 02:18:45,521 --> 02:18:47,523 OPEN CLINICAL TRIALS. 3517 02:18:47,523 --> 02:18:49,959 BASED ON THE 184 PATIENTS AND 3518 02:18:49,959 --> 02:18:52,094 THREE LARGE NCI CLINICAL TRIALS, 3519 02:18:52,094 --> 02:18:56,031 IT WAS 87% ACCURATE IN 3520 02:18:56,031 --> 02:18:58,234 PREDICTING A PATIENT'S 3521 02:18:58,234 --> 02:18:58,801 ELIGIBILITY. 3522 02:18:58,801 --> 02:19:01,737 A SIMILAR ACCURACY FROM MANUALLY 3523 02:19:01,737 --> 02:19:03,606 READING NOTES BUT REDUCED 3524 02:19:03,606 --> 02:19:06,609 SCREENING TIME BUT 50%. 3525 02:19:06,609 --> 02:19:10,946 UNLIKE OTHER MODELING STRATEGIES 3526 02:19:10,946 --> 02:19:12,047 TRIALGPT CAPTURED EXPLANATION 3527 02:19:12,047 --> 02:19:13,015 ALLOWING CLINICAL PRACTITIONERS 3528 02:19:13,015 --> 02:19:14,683 TO UNDERSTAND HOW THE MODEL 3529 02:19:14,683 --> 02:19:16,452 REACHED CONCLUSIONS. 3530 02:19:16,452 --> 02:19:19,588 WHILE INTENDED FOR CLINICIANS, 3531 02:19:19,588 --> 02:19:21,157 TRIAL GPT HAS POTENTIAL USE TO 3532 02:19:21,157 --> 02:19:25,194 FIND SUITABLE CLINICAL TRIALS. 3533 02:19:25,194 --> 02:19:25,761 THE MANAGEMENT DESCRIBING 3534 02:19:25,761 --> 02:19:32,535 TRIALGPT HAS BEEN ACCEPTED FOR 3535 02:19:32,535 --> 02:19:33,068 PUBLICATION IN NATURE 3536 02:19:33,068 --> 02:19:35,371 COMMUNICATION. 3537 02:19:35,371 --> 02:19:41,377 3538 02:19:41,377 --> 02:19:51,420 3539 02:20:25,521 --> 02:20:27,489 >> NEXT IS PRESENTED TO A GROUP 3540 02:20:27,489 --> 02:20:31,994 OF EMPLOYS, MR. JEFFREY BECK, 3541 02:20:31,994 --> 02:20:34,263 NANCY POLGREN, MR. SIEBERT, 3542 02:20:34,263 --> 02:20:35,598 MR. STOCKDALE. 3543 02:20:35,598 --> 02:20:36,699 MR. BECK IS A SUPERVISORY 3544 02:20:36,699 --> 02:20:37,733 INFORMATION SPECIALIST IN THE 3545 02:20:37,733 --> 02:20:39,201 INFORMATION ENGINEERING BRANCH 3546 02:20:39,201 --> 02:20:45,241 OF THE NATIONAL CENTER FOR 3547 02:20:45,241 --> 02:20:45,774 BIOTECHNOLOGY INFORMATION, 3548 02:20:45,774 --> 02:20:48,177 MS. SIEBERT IS SPECIALIST IN THE 3549 02:20:48,177 --> 02:20:50,479 HEALTH DATA CENTER BRANCH OF 3550 02:20:50,479 --> 02:20:54,783 USER SERVICES. 3551 02:20:54,783 --> 02:20:55,451 MR. STOCKDALE AND MISS FALLGREN 3552 02:20:55,451 --> 02:20:56,952 ARE IN THE DISCOVERY BRANCH OF 3553 02:20:56,952 --> 02:20:59,788 THE SAME DIVISION, THEY 3554 02:20:59,788 --> 02:21:01,557 DEVELOPED AND LAUNCHED DATASET 3555 02:21:01,557 --> 02:21:07,229 CATALOG DATA PRODUCT AND DATASET 3556 02:21:07,229 --> 02:21:07,997 METADATA MODEL, PROVIDING 3557 02:21:07,997 --> 02:21:09,898 METADATA TO LOCATE AND ACCESS 3558 02:21:09,898 --> 02:21:13,302 DATASETS AT THEIR SOURCE. 3559 02:21:13,302 --> 02:21:19,074 LED BY MR. SIEBERT WITH OTHERS 3560 02:21:19,074 --> 02:21:21,277 PROVIDING EXPERTISE IN LINKED 3561 02:21:21,277 --> 02:21:24,246 DATA, THE TEAM WORK ACROSS THE 3562 02:21:24,246 --> 02:21:26,548 NIH EXTERNAL HOLDERS, EXTERNAL 3563 02:21:26,548 --> 02:21:28,284 STAKEHOLDERS, AND STANDARDS 3564 02:21:28,284 --> 02:21:36,058 ORGANIZATIONS TO DEVELOP DATUM, 3565 02:21:36,058 --> 02:21:37,926 OFFERINGS AND INTERFACE ACROSS 3566 02:21:37,926 --> 02:21:38,394 REPOSITORIES, RELATED 3567 02:21:38,394 --> 02:21:39,862 INFORMATION THAT MIGHT BE 3568 02:21:39,862 --> 02:21:42,097 OBSCURE AND LOCATING THE MOST 3569 02:21:42,097 --> 02:21:44,166 SUITABLE DATASETS. 3570 02:21:44,166 --> 02:21:46,468 DATA MODEL AND CATALOG 3571 02:21:46,468 --> 02:21:49,204 STANDARDIZE METADATA AND ALLOW 3572 02:21:49,204 --> 02:21:50,739 RESEARCHERS TO SEARCH, DISCOVER, 3573 02:21:50,739 --> 02:21:52,908 RETRIEVE DAFT SETS ACROSS 3574 02:21:52,908 --> 02:21:54,143 REPOSITORIES WITH FUTURE 3575 02:21:54,143 --> 02:21:56,312 POTENTIAL TO FIND DATA BEHIND 3576 02:21:56,312 --> 02:21:57,279 THE LITERATURE. 3577 02:21:57,279 --> 02:21:59,581 LET'S EXPEND WARM 3578 02:21:59,581 --> 02:22:05,921 CONGRATULATIONS TO THESE FOR 3579 02:22:05,921 --> 02:22:08,691 THEIR EXCELLENT ACHIEVEMENTS. 3580 02:22:08,691 --> 02:22:14,697 3581 02:22:14,697 --> 02:22:24,740 3582 02:23:11,820 --> 02:23:13,822 >> SO, I GUESS IT'S TIME TO 3583 02:23:13,822 --> 02:23:14,156 ADJOURN. 3584 02:23:14,156 --> 02:23:15,357 I WANTED TO SEE IF YOU HAD 3585 02:23:15,357 --> 02:23:16,859 ANYTHING TO SAY BEFORE WE 3586 02:23:16,859 --> 02:23:17,326 ADJOURN. 3587 02:23:17,326 --> 02:23:18,193 >> THANK YOU, EVERYONE. 3588 02:23:18,193 --> 02:23:19,261 I WISH I COULD HAVE BEEN THERE 3589 02:23:19,261 --> 02:23:19,928 IN PERSON. 3590 02:23:19,928 --> 02:23:21,897 THIS WAS A GREAT MEETING. 3591 02:23:21,897 --> 02:23:25,534 I APPRECIATE AS ALWAYS THE 3592 02:23:25,534 --> 02:23:26,402 FANTASTIC FEEDBACK, THOUGHTFUL 3593 02:23:26,402 --> 02:23:27,302 DISCUSSION ENGAGEMENT. 3594 02:23:27,302 --> 02:23:28,504 I MISSED DINNER LAST NIGHT BUT 3595 02:23:28,504 --> 02:23:30,439 YOU WERE ON MY MIND. 3596 02:23:30,439 --> 02:23:32,074 LOOK FORWARD TO OUR NEXT 3597 02:23:32,074 --> 02:23:32,441 MEETING. 3598 02:23:32,441 --> 02:23:34,176 I WISH EVERYONE SAFE TRAVELS, 3599 02:23:34,176 --> 02:23:36,578 AND THANK YOU, ON BEHALF OF NLM, 3600 02:23:36,578 --> 02:23:38,147 FOR EVERYTHING YOU DO IN SERVICE 3601 02:23:38,147 --> 02:23:38,881 TO US. 3602 02:23:38,881 --> 02:23:42,718 IT'S BEEN A REAL TREAT TODAY. 3603 02:23:42,718 --> 02:23:44,219 >> I WOULD LIKE TO THANK 3604 02:23:44,219 --> 02:23:47,055 CHRISTINE AND THE EVENT 3605 02:23:47,055 --> 02:23:49,358 MANAGEMENT STAFF FOR BRINGING 3606 02:23:49,358 --> 02:23:51,026 THIS ALL TOGETHER, COORDINATING. 3607 02:23:51,026 --> 02:23:57,699 >> YES, THANK YOU. 3608 02:23:57,699 --> 02:24:00,335 >> THANK YOU ALL, AND MEETING IS 3609 02:24:00,335 --> 02:24:10,335 ADJOURNED.