1 00:00:09,269 --> 00:00:14,307 SHE WAS REALLY I THINK SHE 2 00:00:14,307 --> 00:00:16,042 POSITIONED US VERY WELL FOR THE 3 00:00:16,042 --> 00:00:16,509 FUTURE. 4 00:00:16,509 --> 00:00:18,578 VALERIE WAS HERE FOR SEVERAL 5 00:00:18,578 --> 00:00:21,414 DECADES, I THINK MAYBE CLOSE TO 6 00:00:21,414 --> 00:00:22,949 25 YEARS, IF I REMEMBER 7 00:00:22,949 --> 00:00:26,008 CORRECTLY. 8 00:00:26,008 --> 00:00:28,010 SHE HAD SERVED THE LAST FEW 9 00:00:28,010 --> 00:00:32,581 YEARS AS ACTING SCIENTIFIC 10 00:00:32,581 --> 00:00:34,116 DIRECTOR FOR THE INTRAMURAL 11 00:00:34,116 --> 00:00:35,551 RESEARCH PROGRAM, AND SHE 12 00:00:35,551 --> 00:00:37,386 ACTUALLY DID QUITE A BIT TO 13 00:00:37,386 --> 00:00:40,322 INTEGRATE THOSE PROGRAMS, AND 14 00:00:40,322 --> 00:00:42,191 I'LL GET INTO THAT IN A LITTLE 15 00:00:42,191 --> 00:00:43,292 MORE DETAIL MOMENTARILY. 16 00:00:43,292 --> 00:00:45,160 SO SHE WAS ACTING SCIENTIFIC 17 00:00:45,160 --> 00:00:45,561 DIRECTOR. 18 00:00:45,561 --> 00:00:46,795 BEFORE THAT SHE WAS ACTUALLY THE 19 00:00:46,795 --> 00:00:49,098 DIRECTOR OF EXTRAMURAL PROGRAMS 20 00:00:49,098 --> 00:00:51,066 FOR MANY YEARS, WHERE SHE RAN 21 00:00:51,066 --> 00:00:53,368 OUR EXTRAMURAL GRANTS PROGRAM. 22 00:00:53,368 --> 00:00:55,104 SHE AND HER STAFF. 23 00:00:55,104 --> 00:00:57,172 SO WE'LL MISS THEM BOTH, AND 24 00:00:57,172 --> 00:00:58,807 THEY BOTH CONTRIBUTED A LOT TO 25 00:00:58,807 --> 00:01:00,142 NLM. 26 00:01:00,142 --> 00:01:04,513 AND WE HAVE SOME NEW PLACES AND 27 00:01:04,513 --> 00:01:06,582 NOT NEW -- NEW FACES, RATHER, 28 00:01:06,582 --> 00:01:11,186 AND SOME NOT NEW FACES NOW IN 29 00:01:11,186 --> 00:01:11,754 NEW PLACES. 30 00:01:11,754 --> 00:01:16,024 IN THE LATTER CATEGORY IS STEVE 31 00:01:16,024 --> 00:01:18,393 SHERRY, NOW ACTING DIRECTOR OF 32 00:01:18,393 --> 00:01:18,961 NLM. 33 00:01:18,961 --> 00:01:21,096 HE HAD BEEN THE NCBI DIRECTOR, 34 00:01:21,096 --> 00:01:22,564 AND NOW THAT HE'S THE ACTING 35 00:01:22,564 --> 00:01:26,935 DIRECTOR OF NLM, KIM PRUITT IS 36 00:01:26,935 --> 00:01:29,138 THE ACTING DIRECTOR OF NCBI, YOU 37 00:01:29,138 --> 00:01:30,439 SEE THESE MUSICAL CHAIRS, AND 38 00:01:30,439 --> 00:01:33,041 SHE HAD BEEN CHIEF OF NCBI'S 39 00:01:33,041 --> 00:01:34,042 INFORMATION ENGINEERING BRANCH. 40 00:01:34,042 --> 00:01:37,012 WE ALSO HAVE A NEW FACE HERE, 41 00:01:37,012 --> 00:01:41,049 DR. RICHARD SCHEUERMANN. 42 00:01:41,049 --> 00:01:43,218 , NOW NLM SIGN TERRIFIC 43 00:01:43,218 --> 00:01:47,689 DIRECTOR, FORMERLY IN CALIFORNIA 44 00:01:47,689 --> 00:01:48,891 WHERE HE DIRECTED INFORMATICS 45 00:01:48,891 --> 00:01:50,025 AND WAS ALSO DIRECTOR OF THE 46 00:01:50,025 --> 00:01:51,226 CAMPUS THERE, AND I'LL SAY A 47 00:01:51,226 --> 00:01:53,061 LITTLE BIT MORE ABOUT HIM AND 48 00:01:53,061 --> 00:01:54,396 KIM AND STEVE IN THIS NEXT 49 00:01:54,396 --> 00:01:55,697 SLIDE. 50 00:01:55,697 --> 00:01:57,232 SO THIS GIVES YOU THEIR 51 00:01:57,232 --> 00:01:57,566 BACKGROUNDS. 52 00:01:57,566 --> 00:01:59,968 YOU CAN SEE THAT STEVE AND KIM 53 00:01:59,968 --> 00:02:02,971 HAVE BEEN AT NLM FOR 25, 26 54 00:02:02,971 --> 00:02:03,806 YEARS. 55 00:02:03,806 --> 00:02:08,510 THEY'VE HAD A LOT TO DO WITH NIH 56 00:02:08,510 --> 00:02:10,579 LEADERSHIP ACTIVITIES FROM NLM. 57 00:02:10,579 --> 00:02:13,749 STEVE RECENTLY MOVED THE SRA, 58 00:02:13,749 --> 00:02:17,786 THE SEQUENCE READ ARCHIVE, WHICH 59 00:02:17,786 --> 00:02:21,723 IS MANY PETABYTES OF DATA, IT'S 60 00:02:21,723 --> 00:02:24,092 NOW THE LARGEST BIOMEDICAL 61 00:02:24,092 --> 00:02:24,893 DATABASE IN COMMERCIAL CLOUD 62 00:02:24,893 --> 00:02:25,360 SPACE. 63 00:02:25,360 --> 00:02:29,698 HE ALSO LED EFFORTS ACROSS ALL 64 00:02:29,698 --> 00:02:31,466 OF NIH TO ESTABLISH THE RESEARCH 65 00:02:31,466 --> 00:02:32,568 AUTHORIZATION SERVICE, WHICH 66 00:02:32,568 --> 00:02:34,536 DECREASES THE NUMBER OF LOGINS 67 00:02:34,536 --> 00:02:36,405 YOU HAVE DO IN THE NIH SYSTEM. 68 00:02:36,405 --> 00:02:37,906 SO THESE ARE VERY IMPORTANT 69 00:02:37,906 --> 00:02:39,341 CONTRIBUTIONS AND OF COURSE HE 70 00:02:39,341 --> 00:02:41,543 ALSO CONTRIBUTED A LOT TO OUR 71 00:02:41,543 --> 00:02:46,682 MAJOR GENOMIC DATABASES. 72 00:02:46,682 --> 00:02:48,183 AT NCBI, WHEN HE WAS LEADING 73 00:02:48,183 --> 00:02:49,451 THAT, HE WAS THE DIRECTOR, OF 74 00:02:49,451 --> 00:02:52,688 COURSE, AND HE INSTITUTED A 75 00:02:52,688 --> 00:02:53,989 RESILIENCE FOR LIABILITY AND 76 00:02:53,989 --> 00:02:55,624 REPRESENTATION INITIATIVE, WHICH 77 00:02:55,624 --> 00:02:58,527 IS LOOKING TO TRANSFORM NCBI IN 78 00:02:58,527 --> 00:02:59,461 THE COMING YEARS. 79 00:02:59,461 --> 00:03:01,330 HIS BACKGROUND IS IN 80 00:03:01,330 --> 00:03:02,097 ANTHROPOLOGY. 81 00:03:02,097 --> 00:03:03,832 HE ACTUALLY DEVELOPED GENETIC 82 00:03:03,832 --> 00:03:04,833 MODELS LOOKING AT POPULATIONS 83 00:03:04,833 --> 00:03:05,033 THERE. 84 00:03:05,033 --> 00:03:07,870 HE DID A POSTDOC AT LSU MEDICAL 85 00:03:07,870 --> 00:03:09,204 CENTER, AND AGAIN, HE'S BEEN 86 00:03:09,204 --> 00:03:11,840 HERE FOR 2 1/2 DECADES. 87 00:03:11,840 --> 00:03:14,109 KIM HAS ALSO BEEN HERE ABOUT 88 00:03:14,109 --> 00:03:15,544 THAT LENGTH OF TIME. 89 00:03:15,544 --> 00:03:18,146 SHE'S CURRENTLY HELPING TO LEAD 90 00:03:18,146 --> 00:03:21,450 THE NIH STRATEGIC PLAN FOR DATA 91 00:03:21,450 --> 00:03:23,185 SCIENCE IMPLEMENTATION, SHE'S 92 00:03:23,185 --> 00:03:24,519 ALSO HELPING WITH THE NIH 93 00:03:24,519 --> 00:03:27,456 CONSIDERATION OF PERSISTENT 94 00:03:27,456 --> 00:03:28,991 UNIQUE IDENTIFIERS, YOU MIELT 95 00:03:28,991 --> 00:03:35,030 YOU MIGHTHAVE SEEN THAT IN THE S 96 00:03:35,030 --> 00:03:37,966 LAST AUGUST OF 22 BY THE OFFICE 97 00:03:37,966 --> 00:03:38,834 OF SCIENCE TECHNOLOGY POLICY AND 98 00:03:38,834 --> 00:03:45,841 THIS NOTION I THINK IS GOING TO 99 00:03:45,841 --> 00:03:49,678 BE ON THE ONE HAND A MAJOR 100 00:03:49,678 --> 00:03:51,079 CONTRIBUTION, MAJOR ADVANCE IN 101 00:03:51,079 --> 00:03:53,515 OPEN SCIENCE AND ATTRIBUTION IN 102 00:03:53,515 --> 00:03:55,150 CREATING INCENTIVES FOR SHARING 103 00:03:55,150 --> 00:03:56,118 RESEARCH PROJECTS. 104 00:03:56,118 --> 00:03:57,119 ON THE OTHER HAND, I THINK IT'S 105 00:03:57,119 --> 00:03:58,453 GOING TO BE VERY CHALLENGING SO 106 00:03:58,453 --> 00:03:59,888 I'M GLAD KIM IS IN THE MIX ON 107 00:03:59,888 --> 00:04:00,489 THAT LEADERSHIP. 108 00:04:00,489 --> 00:04:02,157 HER BACKGROUND IS IN GENETICS, 109 00:04:02,157 --> 00:04:05,227 AND SHE ALSO WAS A CO-OWNER OF A 110 00:04:05,227 --> 00:04:09,364 SMALL BUSINESS AT ONE POINT. 111 00:04:09,364 --> 00:04:14,736 RICHARD SCHEUERMANN COMES TO US 112 00:04:14,736 --> 00:04:16,571 VERY FOCUSED ON GENOMICS KINDS 113 00:04:16,571 --> 00:04:17,239 OF DATA. 114 00:04:17,239 --> 00:04:21,410 HE HAS ALSO HAD LOTS OF NATIONAL 115 00:04:21,410 --> 00:04:22,711 AND INTERNATIONAL LEADERSHIP OF 116 00:04:22,711 --> 00:04:24,346 MAJOR DATA RESOURCES AND HAS 117 00:04:24,346 --> 00:04:26,315 DEVELOPED LOTS OF ANALYTIC 118 00:04:26,315 --> 00:04:26,648 METHODS. 119 00:04:26,648 --> 00:04:28,817 HIS BACKGROUND IS IN MOLECULAR 120 00:04:28,817 --> 00:04:31,687 BIOLOGY, BUT HE WAS ALSO A 121 00:04:31,687 --> 00:04:33,956 PROFESSOR OF PATHOLOGY AT THE 122 00:04:33,956 --> 00:04:35,290 UNIVERSITY OF TEXAS SOUTHWESTERN 123 00:04:35,290 --> 00:04:36,258 MEDICAL CENTER. 124 00:04:36,258 --> 00:04:38,994 SO HE COMES TO US WITH BOTH AN 125 00:04:38,994 --> 00:04:41,730 INTEREST IN DATA IN THE GENOMIC 126 00:04:41,730 --> 00:04:45,133 REALM AND IN THE MEDICAL -- MORE 127 00:04:45,133 --> 00:04:46,768 MEDICAL DATA REALM, AND I THINK 128 00:04:46,768 --> 00:04:50,806 HE'LL BE THE PERFECT GUIDE FOR 129 00:04:50,806 --> 00:04:51,907 OUR GOING FORWARD IN THE 130 00:04:51,907 --> 00:04:53,008 INTRAMURAL RESEARCH PROGRAM. 131 00:04:53,008 --> 00:04:56,278 SO THIS IS OUR CURRENT 132 00:04:56,278 --> 00:04:57,279 COMPOSITION OF THE TEAM AS IT 133 00:04:57,279 --> 00:04:57,813 NOW IS. 134 00:04:57,813 --> 00:05:00,315 YOU CAN SEE LOTS OF ACTINGS UP 135 00:05:00,315 --> 00:05:01,850 HERE, IN FACT, I THINK ONLY 136 00:05:01,850 --> 00:05:03,285 THREE MEMBERS OF THE LEADERSHIP 137 00:05:03,285 --> 00:05:05,020 TEAM NOW ARE NOT ACTING. 138 00:05:05,020 --> 00:05:06,822 SOME OF THESE ACTINGS ARE 139 00:05:06,822 --> 00:05:07,990 BECAUSE OF, YOU KNOW, PEOPLE 140 00:05:07,990 --> 00:05:09,958 HAVE SLID FROM ONE POSITION TO 141 00:05:09,958 --> 00:05:11,059 ANOTHER, BUT I CAN SAY THAT 142 00:05:11,059 --> 00:05:13,695 RIGHT NOW, WE ARE RECRUITING FOR 143 00:05:13,695 --> 00:05:15,897 THE POSITION THAT I'M ACTING IN, 144 00:05:15,897 --> 00:05:16,832 THE DEPUTY DIRECTOR FOR 145 00:05:16,832 --> 00:05:18,266 OPERATIONS AND INNOVATION. 146 00:05:18,266 --> 00:05:21,203 WE'RE ALSO RECRUITING FOR THE 147 00:05:21,203 --> 00:05:23,638 LISTER HILL CENTER DIRECTOR AND 148 00:05:23,638 --> 00:05:26,908 DEPUTY DIRECTOR. 149 00:05:26,908 --> 00:05:28,610 AND SOME OF THE OTHER SEARCHES 150 00:05:28,610 --> 00:05:29,878 ARE PENDING GETTING GOING. 151 00:05:29,878 --> 00:05:31,713 SO HOPEFULLY IN A YEAR OR SO, 152 00:05:31,713 --> 00:05:33,482 THIS WILL CHANGE AGAIN, BUT WITH 153 00:05:33,482 --> 00:05:36,018 FEWER ACTING TITLES UNDERNEATH. 154 00:05:36,018 --> 00:05:40,255 LET ME FOCUS A BIT ON RICHARD 155 00:05:40,255 --> 00:05:41,556 AND HIS VISION FOR THE IRP. 156 00:05:41,556 --> 00:05:43,658 I THINK THIS IS VERY EXCITING. 157 00:05:43,658 --> 00:05:46,695 HE JOINED US IN THE MIDDLE OF 158 00:05:46,695 --> 00:05:48,030 SEPTEMBER, SO AS I MENTIONED ON 159 00:05:48,030 --> 00:05:50,298 THE PREVIOUS SLIDE, HE'D BEEN 160 00:05:50,298 --> 00:05:51,800 HERE FOR ONLY ABOUT A MONTH, BUT 161 00:05:51,800 --> 00:05:53,635 ALREADY HE'S GOT LOTS OF GOOD 162 00:05:53,635 --> 00:05:54,936 IDEAS AND I THOUGHT I'D PRESENT 163 00:05:54,936 --> 00:05:56,004 SOME OF THOSE. 164 00:05:56,004 --> 00:05:58,840 LET ME GIVE YOU AN ORIENTATION. 165 00:05:58,840 --> 00:06:01,810 OF COURSE THE ORG CHART FOR NLM 166 00:06:01,810 --> 00:06:03,545 IS ON THE LEFT AND YOU CAN SEE 167 00:06:03,545 --> 00:06:05,747 THE MAJOR -- SO THE MAJOR 168 00:06:05,747 --> 00:06:10,919 DIVISIONS OF NLM, SO WE'VE GOT 169 00:06:10,919 --> 00:06:12,754 NCBI, LISTER HILL, LIBRARY 170 00:06:12,754 --> 00:06:14,723 OPERATIONS, EXTRAMURAL PROGRAMS. 171 00:06:14,723 --> 00:06:18,093 IF YOU TAKE LISTER HILL AND NCBI 172 00:06:18,093 --> 00:06:19,728 AND BLOW THEM UP HERE, YOU CAN 173 00:06:19,728 --> 00:06:21,296 SEE THEY'VE GOT A NUMBER OF 174 00:06:21,296 --> 00:06:23,999 BRANCHES UNDERNEATH, AND THEY 175 00:06:23,999 --> 00:06:27,169 EACH HAVE A BRANCH THAT HAS 176 00:06:27,169 --> 00:06:28,403 RESEARCH IN IT. 177 00:06:28,403 --> 00:06:31,206 COMPUTATIONAL BIOLOGY AND 178 00:06:31,206 --> 00:06:32,541 COMPUTATIONAL HEALTH RESEARCH 179 00:06:32,541 --> 00:06:32,774 BRANCH. 180 00:06:32,774 --> 00:06:34,409 THESE ARE THE INTRAMURAL 181 00:06:34,409 --> 00:06:35,510 RESEARCH PROGRAMS. 182 00:06:35,510 --> 00:06:37,145 EVEN THOUGH R & D HAPPENS IN 183 00:06:37,145 --> 00:06:39,214 OTHER PARTS OF NLM, THESE ARE 184 00:06:39,214 --> 00:06:40,682 THE ONES THAT ARE HEADED BY 185 00:06:40,682 --> 00:06:45,754 PEOPLE THAT ARE DOING YOUR BASIC 186 00:06:45,754 --> 00:06:46,488 RESEARCH. 187 00:06:46,488 --> 00:06:50,125 UP UNTIL RECENTLY, THESE WERE 188 00:06:50,125 --> 00:06:51,226 SILOED IN EACH OF THESE 189 00:06:51,226 --> 00:06:52,861 DIFFERENT PARTS OF NLM, AND EACH 190 00:06:52,861 --> 00:06:54,963 OF THEM HAD A SCIENTIFIC 191 00:06:54,963 --> 00:06:55,730 DIRECTOR. 192 00:06:55,730 --> 00:06:57,799 NOW RICHARD HAS COME IN AND HE 193 00:06:57,799 --> 00:06:59,668 WILL OVERSEE BOTH OF THESE 194 00:06:59,668 --> 00:07:00,769 BRANCHES, AND I THINK MOVE 195 00:07:00,769 --> 00:07:02,404 FORWARD TO TRY TO FURTHER 196 00:07:02,404 --> 00:07:04,806 INTEGRATE THEM. 197 00:07:04,806 --> 00:07:07,309 THIS IS HIS PLAN RIGHT OUT OF 198 00:07:07,309 --> 00:07:07,776 THE GATES. 199 00:07:07,776 --> 00:07:09,077 I DON'T THINK ANYBODY SHOULD 200 00:07:09,077 --> 00:07:11,279 HOLD ANYBODY TO ANY OF THIS. 201 00:07:11,279 --> 00:07:13,748 BUT IT DOES SHOW HIS VISION AND 202 00:07:13,748 --> 00:07:15,951 I THINK IT'S QUITE COMPELLING. 203 00:07:15,951 --> 00:07:17,052 THE FIRST THING HE WANTS TO DO 204 00:07:17,052 --> 00:07:19,221 IS FINISH THE IMPLEMENTATION OF 205 00:07:19,221 --> 00:07:21,990 THE BLUE RIBBON PANEL 206 00:07:21,990 --> 00:07:23,725 RECOMMENDATIONS. 207 00:07:23,725 --> 00:07:28,196 THIS WAS CARRIED OUT I THINK IN 208 00:07:28,196 --> 00:07:34,002 ABOUT IN 2017, I THINK, HOW TO 209 00:07:34,002 --> 00:07:35,637 GO FORWARD WITH THE INTRAMURAL 210 00:07:35,637 --> 00:07:36,204 RESEARCH PROGRAM. 211 00:07:36,204 --> 00:07:37,506 THIS WILL CONTINUE TO INTEGRATE 212 00:07:37,506 --> 00:07:39,274 THESE TWO PROGRAMS IN EACH OF 213 00:07:39,274 --> 00:07:41,576 THE TWO PARTS OF NLM. 214 00:07:41,576 --> 00:07:43,612 HE WANTS TO POSITION THE 215 00:07:43,612 --> 00:07:45,847 INTRAMURAL RESEARCH PROGRAM IN A 216 00:07:45,847 --> 00:07:49,217 WAY THAT WILL ALLOW TO LEVERAGE 217 00:07:49,217 --> 00:07:51,653 NLM'S RESOURCES AND ALLOW NLM 218 00:07:51,653 --> 00:07:53,688 RESOURCES TO LEVERAGE THOSE 219 00:07:53,688 --> 00:07:54,122 RESEARCH ACTIVITIES. 220 00:07:54,122 --> 00:07:59,261 AND HE SEES THE IMPORTANCE IN 221 00:07:59,261 --> 00:08:02,564 IDENTIFYING AT LEAST ONE 222 00:08:02,564 --> 00:08:04,733 AUDACIOUS HIGH RISK/HIGH REWARD 223 00:08:04,733 --> 00:08:08,904 PROJECT FOR THE IRP. 224 00:08:08,904 --> 00:08:11,306 HE WANTS TO MAXIMIZE THE IMPACT 225 00:08:11,306 --> 00:08:14,576 OF NLM IRP AND HE WANTS TO FOCUS 226 00:08:14,576 --> 00:08:16,444 SCIENTIFICALLY ON TRANSLATING 227 00:08:16,444 --> 00:08:19,614 DATA INTO COMPUTABLE KNOWLEDGE. 228 00:08:19,614 --> 00:08:21,183 IN THE NEXT NINE MONTHS, RICHARD 229 00:08:21,183 --> 00:08:25,520 IS GOING TO LAUNCH AN NLM IRP 230 00:08:25,520 --> 00:08:26,721 STRATEGIC PLANNING PROCESS, AND 231 00:08:26,721 --> 00:08:27,722 SO WE'RE LOOKING FORWARD TO 232 00:08:27,722 --> 00:08:30,225 WORKING WITH HIM ON THAT. 233 00:08:30,225 --> 00:08:32,427 SO LET ME TURN NOW TO SOME 234 00:08:32,427 --> 00:08:33,295 ACTIVITIES THAT ARE HAPPENING 235 00:08:33,295 --> 00:08:37,332 WITH OUR STAFF. 236 00:08:37,332 --> 00:08:42,804 WE HAVE -- WE CALL THEM THE 237 00:08:42,804 --> 00:08:44,773 FEVS -- FEDERAL EMPLOYEE 238 00:08:44,773 --> 00:08:45,774 VIEWPOINT SURVEY INITIATIVE. 239 00:08:45,774 --> 00:08:47,075 THIS IS A SURVEY THAT ALL 240 00:08:47,075 --> 00:08:48,376 FEDERAL EMPLOYEES ARE ASKED TO 241 00:08:48,376 --> 00:08:51,546 TAKE, AND IT PROVIDES LOTS OF 242 00:08:51,546 --> 00:08:52,747 FEEDBACK ABOUT HOW THEY SEE 243 00:08:52,747 --> 00:08:53,748 THEMSELVES IN THE WORKPLACE AND 244 00:08:53,748 --> 00:08:56,484 HOW THEY SEE THEIR WORKPLACE. 245 00:08:56,484 --> 00:08:58,353 THIS IS DONE ACROSS THE FEDERAL 246 00:08:58,353 --> 00:08:58,753 GOVERNMENT. 247 00:08:58,753 --> 00:09:00,422 WE'VE ALSO HAD A NUMBER OF OTHER 248 00:09:00,422 --> 00:09:03,258 ACTIVITIES THAT HAVE DRAWN INPUT 249 00:09:03,258 --> 00:09:05,327 FROM NLM STAFF OVER THE LAST 250 00:09:05,327 --> 00:09:07,529 YEAR OR SO, INCLUDING SOMETHING 251 00:09:07,529 --> 00:09:09,598 WE CALL THE FUTURE OF WORK 252 00:09:09,598 --> 00:09:12,234 SURVEY, AND WE HAD A SPECIAL 253 00:09:12,234 --> 00:09:15,604 MEETING WHERE COMMENTS WERE IN 254 00:09:15,604 --> 00:09:16,605 REALTIME SOLICITED FROM STAFF. 255 00:09:16,605 --> 00:09:18,006 SO WHAT WE DID WAS WE TOOK ALL 256 00:09:18,006 --> 00:09:20,875 OF THIS INPUT AND LEADERSHIP 257 00:09:20,875 --> 00:09:22,711 SIFTED THROUGH IT AND KIND OF 258 00:09:22,711 --> 00:09:25,146 ORGANIZED THE COMMENTS AND THE 259 00:09:25,146 --> 00:09:28,083 SURVEY ANSWERS AND SO FORTH 260 00:09:28,083 --> 00:09:32,254 TOGETHER AND CATEGORIZED THEM, 261 00:09:32,254 --> 00:09:34,623 SYNTHESIZED THEM, IDENTIFIED 262 00:09:34,623 --> 00:09:36,725 THREE HIGH PRIORITY ITEMS 263 00:09:36,725 --> 00:09:38,026 IDENTIFIED BY STAFF, AND THEN WE 264 00:09:38,026 --> 00:09:38,893 ASKED STAFF TO VOLUNTEER AND A 265 00:09:38,893 --> 00:09:41,429 FORM WHAT WE CALL THE FEVS 266 00:09:41,429 --> 00:09:43,398 SUMMER SPRINT TEAMS, AND WHAT 267 00:09:43,398 --> 00:09:47,936 THEY DID WAS THEY THEN PUT 268 00:09:47,936 --> 00:09:48,870 TOGETHER ACTIONABLE PLANS. 269 00:09:48,870 --> 00:09:51,172 WE DID THIS IN THREE DIFFERENT 270 00:09:51,172 --> 00:09:51,373 STEPS. 271 00:09:51,373 --> 00:09:53,808 AND THE IDEA IS TO NOT ONLY HAVE 272 00:09:53,808 --> 00:09:55,777 PLANS THAT ADDRESS HIGH PRIORITY 273 00:09:55,777 --> 00:09:58,613 ITEMS, BUT ALSO TO INCREASE THE 274 00:09:58,613 --> 00:10:01,316 ENGAGEMENT OF NLM PARTICIPANTS. 275 00:10:01,316 --> 00:10:04,085 SO WE HAVE THESE THREE TEAMS NOW 276 00:10:04,085 --> 00:10:05,587 OR THESE THREE INITIATIVES. 277 00:10:05,587 --> 00:10:08,123 ONE IS ON PARTICIPATORY 278 00:10:08,123 --> 00:10:08,490 DECISION-MAKING. 279 00:10:08,490 --> 00:10:10,859 ONE IS ON IMPROVING 280 00:10:10,859 --> 00:10:13,261 COMMUNICATION, AND ONE IS ON 281 00:10:13,261 --> 00:10:14,029 FOSTERING CAREER DEVELOPMENT. 282 00:10:14,029 --> 00:10:15,563 I WON'T GO INTO A LOT OF DETAIL 283 00:10:15,563 --> 00:10:18,300 ON THESE, BUT THESE ARE, AGAIN, 284 00:10:18,300 --> 00:10:20,035 LED BY STAFF, THEY WERE 285 00:10:20,035 --> 00:10:23,004 IDENTIFIED BY STAFF, AND THEY'RE 286 00:10:23,004 --> 00:10:24,472 GOING TO BE IMPLEMENTED BY 287 00:10:24,472 --> 00:10:25,073 STAFF. 288 00:10:25,073 --> 00:10:28,777 I THINK IMPORTANTLY, THEY 289 00:10:28,777 --> 00:10:35,583 HAVE -- EACH OF THESE HAS 290 00:10:35,583 --> 00:10:36,885 VALUATION BUILT INTO IT, RATHER 291 00:10:36,885 --> 00:10:38,186 THAN LOOKING AT THE DATA 292 00:10:38,186 --> 00:10:40,722 AFTERWARDS AND SAYING, HMMM, DID 293 00:10:40,722 --> 00:10:41,923 THIS WORK? 294 00:10:41,923 --> 00:10:44,659 BUT ALSO, AT THE STAFF LEVEL, 295 00:10:44,659 --> 00:10:45,727 INTERESTED IN BUILDING A CULTURE 296 00:10:45,727 --> 00:10:48,596 OF CONTINUOUS INNOVATION AT NLM. 297 00:10:48,596 --> 00:10:49,831 WHEN WE FIRST STARTED TALKING 298 00:10:49,831 --> 00:10:51,866 ABOUT THIS, WE GOT A LOT OF 299 00:10:51,866 --> 00:10:53,501 FEEDBACK LIKE, JEEZ, WE DO A LOT 300 00:10:53,501 --> 00:10:55,370 OF INNOVATION AT NLM, AND THAT 301 00:10:55,370 --> 00:10:56,237 IS TRUE. 302 00:10:56,237 --> 00:10:58,306 BUT WHAT WE WANT TO DO IS WE 303 00:10:58,306 --> 00:11:00,942 WANT TO BUILD INCENTIVE 304 00:11:00,942 --> 00:11:02,110 STRUCTURE, PERMISSION STRUCTURES 305 00:11:02,110 --> 00:11:04,546 AND TO CLEARLY INDICATE OUR 306 00:11:04,546 --> 00:11:06,314 INTEREST IN INNOVATION, NOT ONLY 307 00:11:06,314 --> 00:11:09,584 IN TERMS OF LARGE INITIATIVES, 308 00:11:09,584 --> 00:11:11,386 BUT ALSO IN TERMS OF PEOPLE'S 309 00:11:11,386 --> 00:11:11,886 EVERYDAY WORK. 310 00:11:11,886 --> 00:11:14,389 WE'VE LAUNCHED THIS WITH THE 311 00:11:14,389 --> 00:11:18,226 HELP OF SOME CONSULTANTS. 312 00:11:18,226 --> 00:11:21,296 WE WANT TO START -- WE'RE 313 00:11:21,296 --> 00:11:22,263 STARTING THIS IN THE OFFICE OF 314 00:11:22,263 --> 00:11:23,998 THE DIRECTOR AND THE LEADERSHIP 315 00:11:23,998 --> 00:11:24,566 TEAM. 316 00:11:24,566 --> 00:11:26,868 WE'RE THEN GOING TO BRING TO 317 00:11:26,868 --> 00:11:27,836 DIVISION DIRECTORS AND SO FORTH 318 00:11:27,836 --> 00:11:29,604 AND BRING IT ALL THE WAY DOWN TO 319 00:11:29,604 --> 00:11:32,107 THE STAFF AND SUPERVISOR LEVELS. 320 00:11:32,107 --> 00:11:38,446 WE'RE PUTTING TOGETHER A MODEL 321 00:11:38,446 --> 00:11:41,750 FOR THIS THAT HAS DEVELOPMENT 322 00:11:41,750 --> 00:11:46,121 MEASUREMENT GOVERNANCE, IDEA 323 00:11:46,121 --> 00:11:48,523 GENERATION, DECISION-MAKING AND 324 00:11:48,523 --> 00:11:49,624 ORGANIZATIONAL READINESS 325 00:11:49,624 --> 00:11:52,026 FEATURES BUILT INTO IT. 326 00:11:52,026 --> 00:11:55,096 AND AGAIN, WE'RE DOING THIS 327 00:11:55,096 --> 00:11:56,164 ITERATIVELY, AND THE CONSULTANTS 328 00:11:56,164 --> 00:11:57,699 ARE WORKING WITH US CLOSELY TO 329 00:11:57,699 --> 00:12:00,468 GET AN IDEA OF HOW NLM ACTUALLY 330 00:12:00,468 --> 00:12:03,638 OPERATES. 331 00:12:03,638 --> 00:12:07,776 SO W WE KNOW HOW TO PLACE 332 00:12:07,776 --> 00:12:10,178 THIS GOING FORWARD. 333 00:12:10,178 --> 00:12:11,379 THIS HAS BEEN A PRETTY 334 00:12:11,379 --> 00:12:12,914 THOUGHTFUL PROCESS AND HAS AT 335 00:12:12,914 --> 00:12:14,082 THIS POINT ENGAGED MOSTLY JUST 336 00:12:14,082 --> 00:12:18,052 THE NLM LEADERSHIP TEAM. 337 00:12:18,052 --> 00:12:19,387 ALSO, SINCE OUR LAST MEETING, I 338 00:12:19,387 --> 00:12:20,889 THINK WE HAVE MADE A LOT OF 339 00:12:20,889 --> 00:12:22,757 IMPROVEMENTS IN OUR 340 00:12:22,757 --> 00:12:26,361 PUBLIC-FACING RESOURCES. 341 00:12:26,361 --> 00:12:27,362 CLINICALTRIALS.GOV, AT LEAST ITS 342 00:12:27,362 --> 00:12:29,964 NEW PUBLIC SITE IS PART OF A 343 00:12:29,964 --> 00:12:33,935 MULTI-YEAR MODERNIZATION EFFORT. 344 00:12:33,935 --> 00:12:37,972 ACCESS GOOD ID HAS INCORPORATED 345 00:12:37,972 --> 00:12:39,841 THE NOMENCLATURE INTO IT. 346 00:12:39,841 --> 00:12:43,111 THE NIH COMPARATIVE GENOMICS 347 00:12:43,111 --> 00:12:45,180 RESOURCES, COMPARATIVE GENOME 348 00:12:45,180 --> 00:12:48,583 VIEWER NOW INCLUDES 275 SPECIES. 349 00:12:48,583 --> 00:12:51,786 IT HAS AN IMPROVED AND ENHANCED 350 00:12:51,786 --> 00:12:53,388 BLAST SEARCH CAPABILITIES, AND 351 00:12:53,388 --> 00:12:56,891 IT HAS SOME MORE USEFUL LANDING 352 00:12:56,891 --> 00:12:58,993 PAGES FOR SPECIFIC ASPECTS OF 353 00:12:58,993 --> 00:13:00,728 THAT RESOURCE. 354 00:13:00,728 --> 00:13:03,465 WE'VE ALSO MOVED A NUMBER OF 355 00:13:03,465 --> 00:13:05,300 RESOURCES TO THE CLOUD, 356 00:13:05,300 --> 00:13:08,369 INCLUDING MEDLINEPLUS CONNECT, 357 00:13:08,369 --> 00:13:10,004 DOCLINE, AND OUR DIGITAL 358 00:13:10,004 --> 00:13:11,873 COLLECTIONS, AND CIRCULATING 359 00:13:11,873 --> 00:13:15,176 NOW, WHICH IS FROM THE HISTORY 360 00:13:15,176 --> 00:13:18,313 OF MEDICINE DIVISION, HAS MARKED 361 00:13:18,313 --> 00:13:19,948 ITS 10-YEAR ANNIVERSARY, AND 362 00:13:19,948 --> 00:13:22,917 THIS BRINGS OUR HISTORICAL ITEMS 363 00:13:22,917 --> 00:13:25,987 TO THE PUBLIC. 364 00:13:25,987 --> 00:13:27,722 AND ONE OF OUR FLAGSHIP 365 00:13:27,722 --> 00:13:29,591 PRODUCTS, THE MEDLINEPLUS 366 00:13:29,591 --> 00:13:31,559 WEBSITE, IS NOW 25 YEARS OLD. 367 00:13:31,559 --> 00:13:33,361 SO I GUESS SHE'S ENTERING HER 368 00:13:33,361 --> 00:13:34,829 THIRD YEAR OF MEDICAL SCHOOL. 369 00:13:34,829 --> 00:13:37,999 AND HAS, AS YOU KNOW, OVER A 370 00:13:37,999 --> 00:13:39,434 THOUSAND HEALTH TOPICS IN BOTH 371 00:13:39,434 --> 00:13:40,435 ENGLISH AND SPANISH. 372 00:13:40,435 --> 00:13:44,339 IT HAS HALF A BILLION VISITORS 373 00:13:44,339 --> 00:13:47,075 ANNUALLY, AND I KNOW YOU'RE ALL 374 00:13:47,075 --> 00:13:49,177 AWARE OF THIS RESOURCE. 375 00:13:49,177 --> 00:13:51,246 AND IT'S QUITE REMARKABLE AND 376 00:13:51,246 --> 00:13:54,415 IT'S 25 YEARS OLD. 377 00:13:54,415 --> 00:13:57,919 WE'VE ALSO MADE PROGRESS ON 378 00:13:57,919 --> 00:13:59,153 CLINICAL DATA AS RESEARCH ASSETS 379 00:13:59,153 --> 00:14:01,656 IN A NUMBER OF DIFFERENT WAYS. 380 00:14:01,656 --> 00:14:03,725 IN LISTER HILL NATIONAL CENTER 381 00:14:03,725 --> 00:14:06,661 FOR BIOMEDICAL COMMUNICATIONS, A 382 00:14:06,661 --> 00:14:08,096 CENTER FOR CLINICAL 383 00:14:08,096 --> 00:14:09,097 OBSERVATIONAL INVESTIGATIONS HAS 384 00:14:09,097 --> 00:14:10,498 BEEN LAUNCHED. 385 00:14:10,498 --> 00:14:14,435 THIS WILL DEVELOP A FISMA 386 00:14:14,435 --> 00:14:15,303 MODERATE ENVIRONMENT FOR 387 00:14:15,303 --> 00:14:16,838 SENSITIVE DATA, AND IT WILL 388 00:14:16,838 --> 00:14:19,140 BE -- LIKE I SAID, IT HAS JUST 389 00:14:19,140 --> 00:14:20,942 GOTTEN LAUNCHED. 390 00:14:20,942 --> 00:14:23,845 THERE ARE NEW INVESTIGATORS AND 391 00:14:23,845 --> 00:14:24,946 NEW-ISH INVESTIGATORS IN THE 392 00:14:24,946 --> 00:14:25,713 IRP. 393 00:14:25,713 --> 00:14:30,618 THE NEWEST ONE IS DR. AUGUSTIN 394 00:14:30,618 --> 00:14:34,022 LUNA, WHO WILL BE WORKING IN THE 395 00:14:34,022 --> 00:14:36,190 INTRAMURAL RESEARCH PROGRAM WITH 396 00:14:36,190 --> 00:14:36,791 THE NATIONAL CANCER INSTITUTE 397 00:14:36,791 --> 00:14:39,160 LOOKING AT USING NETWORK BIOLOGY 398 00:14:39,160 --> 00:14:41,129 TO DRIVE CLINICAL INTERVENTIONS, 399 00:14:41,129 --> 00:14:42,997 AND NEW-ISH INVESTIGATORS 400 00:14:42,997 --> 00:14:46,267 INCLUDE BOTH JEREMY WEISS AND 401 00:14:46,267 --> 00:14:48,136 MICHAEL CHIANG, WHO ARE 402 00:14:48,136 --> 00:14:48,870 DEVELOPING COMPUTATIONAL 403 00:14:48,870 --> 00:14:49,971 APPROACHES TO IMPROVE CLINICAL 404 00:14:49,971 --> 00:14:50,405 CARE. 405 00:14:50,405 --> 00:14:52,941 I SHOULD MENTION THAT MICHAEL 406 00:14:52,941 --> 00:14:54,242 CHIANG IS DIRECTOR OF THE 407 00:14:54,242 --> 00:14:54,909 NATIONAL EYE INSTITUTE. 408 00:14:54,909 --> 00:14:56,644 SO INSTITUTE DIRECTORS OFTEN 409 00:14:56,644 --> 00:14:59,147 HAVE RESEARCH PROGRAMS BUT OF 410 00:14:59,147 --> 00:15:01,149 COURSE THEY CAN'T BE IN THEIR 411 00:15:01,149 --> 00:15:02,450 SAME INSTITUTE BECAUSE THERE'S 412 00:15:02,450 --> 00:15:03,551 AN OBVIOUS CONFLICT THERE. 413 00:15:03,551 --> 00:15:05,720 FINALLY IN TERMS OF CLINICAL 414 00:15:05,720 --> 00:15:07,155 DATA, THE EXTRAMURAL PROGRAMS 415 00:15:07,155 --> 00:15:08,356 HAVE ISSUED A FUNDING 416 00:15:08,356 --> 00:15:09,891 OPPORTUNITY ANNOUNCEMENT FOR 417 00:15:09,891 --> 00:15:12,527 PERSONAL HEALTH INFORMATICS TO 418 00:15:12,527 --> 00:15:13,528 DELIVER ACTIONABLE INSIGHTS TO 419 00:15:13,528 --> 00:15:17,765 INDIVIDUALS. 420 00:15:17,765 --> 00:15:19,167 FINALLY, LET ME SAY A FEW WORDS 421 00:15:19,167 --> 00:15:20,702 ABOUT THE BUDGET. 422 00:15:20,702 --> 00:15:24,772 AS YOU CAN SEE THIS CHART, THE 423 00:15:24,772 --> 00:15:26,407 DARK ORANGE, WHICH IS MOSTLY ON 424 00:15:26,407 --> 00:15:30,878 THE TOP THERE, ARE THE ACTUAL 425 00:15:30,878 --> 00:15:33,014 FUNDING LINE THAT NLM HAS HAD 426 00:15:33,014 --> 00:15:33,615 OVER THE YEARS. 427 00:15:33,615 --> 00:15:35,817 AS YOU CAN SEE OVER THESE YEARS 428 00:15:35,817 --> 00:15:38,353 WE'VE HAD OVER A $100 MILLION 429 00:15:38,353 --> 00:15:39,387 INCREASE WHICH IS REALLY VERY 430 00:15:39,387 --> 00:15:41,022 GOOD NEWS. 431 00:15:41,022 --> 00:15:42,490 HERE ARE SOME OF THOSE NUMBERS, 432 00:15:42,490 --> 00:15:45,326 YOU KNOW, AND BUDGETS AS WELL AS 433 00:15:45,326 --> 00:15:46,527 THE NIH BUDGETS OVER THE YEARS. 434 00:15:46,527 --> 00:15:47,629 THIS ALL LOOKS VERY GOOD. 435 00:15:47,629 --> 00:15:48,930 AND THEN YOU GET TO THAT LIGHT 436 00:15:48,930 --> 00:15:50,131 BLUE AT THE BOTTOM. 437 00:15:50,131 --> 00:15:52,333 AND I THINK AS YOU'VE ALL HEARD, 438 00:15:52,333 --> 00:15:53,868 WE'RE IN FOR SOME STORMY WEATHER 439 00:15:53,868 --> 00:15:57,038 WHEN IT COMES TO FISCAL 440 00:15:57,038 --> 00:15:59,173 CONSIDERATIONS AT NLM AND PRETTY 441 00:15:59,173 --> 00:16:00,208 MUCH EVERYWHERE ELSE IN THE 442 00:16:00,208 --> 00:16:01,075 FEDERAL GOVERNMENT. 443 00:16:01,075 --> 00:16:05,847 I THINK THE AGREED-UPON DECISION 444 00:16:05,847 --> 00:16:09,017 WAS THAT THERE WOULD NOT BE AN 445 00:16:09,017 --> 00:16:11,686 INCREASE IN FY 24 FUNDING. 446 00:16:11,686 --> 00:16:13,087 AS YOU KNOW RIGHT NOW, WE DON'T 447 00:16:13,087 --> 00:16:14,422 HAVE ANYTHING, THERE IS NO 448 00:16:14,422 --> 00:16:15,390 LEGISLATION RIGHT NOW THAT 449 00:16:15,390 --> 00:16:16,491 REALLY COVERS ALL OF THIS, SO 450 00:16:16,491 --> 00:16:19,994 THIS IS ALL REALLY JUST OUR 451 00:16:19,994 --> 00:16:21,629 ANTICIPATING WHAT MIGHT HAPPEN, 452 00:16:21,629 --> 00:16:23,698 AND THAT ANTICIPATION IS NOT 453 00:16:23,698 --> 00:16:25,900 VERY OPTIMISTIC. 454 00:16:25,900 --> 00:16:28,336 AND SO THE NLM LEADERSHIP HAS 455 00:16:28,336 --> 00:16:29,737 SPENT -- GOSH, I DON'T KNOW, THE 456 00:16:29,737 --> 00:16:31,606 LAST FOUR MONTHS OF SO, I THINK 457 00:16:31,606 --> 00:16:34,008 THAT'S ABOUT RIGHT, DEVELOPING 458 00:16:34,008 --> 00:16:35,543 OUR THINKING ABOUT HOW DO WE 459 00:16:35,543 --> 00:16:38,913 CONTINUE TO DO WHAT WE MUST DO 460 00:16:38,913 --> 00:16:41,449 WELL, HOW DO WE CONSIDER THINGS 461 00:16:41,449 --> 00:16:44,786 THAT ARE NOT AS HIGH A PRIORITY, 462 00:16:44,786 --> 00:16:46,154 AND WHAT DO WE DO WITH THOSE 463 00:16:46,154 --> 00:16:47,889 THINGS. 464 00:16:47,889 --> 00:16:49,657 OPTIONS MIGHT INCLUDE HAVING 465 00:16:49,657 --> 00:16:51,926 SOMETIMES OTHER INSTITUTES ARE 466 00:16:51,926 --> 00:16:55,763 INTERESTED IN SUPPORTING 467 00:16:55,763 --> 00:16:56,597 CO-FUNDING CERTAIN ASPECTS, 468 00:16:56,597 --> 00:16:58,833 WE'VE DONE THAT WITH SRA. 469 00:16:58,833 --> 00:17:00,301 RIGHT NOW WE HAVE MILLIONS OF 470 00:17:00,301 --> 00:17:01,569 DOLLARS THAT NIH IS PROVIDING TO 471 00:17:01,569 --> 00:17:02,336 THAT RESOURCE. 472 00:17:02,336 --> 00:17:04,072 SO THESE ARE THINGS WE'RE 473 00:17:04,072 --> 00:17:06,174 THINKING ABOUT, AND OF COURSE WE 474 00:17:06,174 --> 00:17:07,575 HAVEN'T IDENTIFIED ALL OF THESE 475 00:17:07,575 --> 00:17:09,877 THINGS IN ANY GREAT DETAIL, BUT 476 00:17:09,877 --> 00:17:13,147 WE DID PUT TOGETHER THIS LIST OF 477 00:17:13,147 --> 00:17:15,149 COMMITMENTS TO THE MISSION OF 478 00:17:15,149 --> 00:17:16,884 NLM AND TO OUR INTEREST IN 479 00:17:16,884 --> 00:17:19,053 EXCELLENCE FOR THE PUBLIC GOOD. 480 00:17:19,053 --> 00:17:21,889 THEY ARE NOT SURPRISING, I 481 00:17:21,889 --> 00:17:24,859 THINK, TO COLLECT, CURATE, 482 00:17:24,859 --> 00:17:25,893 PRESERVE BIOMEDICAL INFORMATION 483 00:17:25,893 --> 00:17:29,464 AND CONNECT TO THE WORLD, THAT 484 00:17:29,464 --> 00:17:31,532 IS FUNDAMENTAL OBVIOUSLY, ALSO 485 00:17:31,532 --> 00:17:32,133 PROVIDING ACCESS TO THAT 486 00:17:32,133 --> 00:17:33,868 INFORMATION. 487 00:17:33,868 --> 00:17:35,470 THE THIRD BULLET HERE SPEAKS TO 488 00:17:35,470 --> 00:17:38,005 OUR ROLE AS A RESEARCH 489 00:17:38,005 --> 00:17:40,074 INSTITUTION, AND THE IDEA IS TO 490 00:17:40,074 --> 00:17:44,345 BUT SORT FRAN TRANSFORMATIVE REH 491 00:17:44,345 --> 00:17:45,480 IN INFORMATION LIBRARY SCIENCE 492 00:17:45,480 --> 00:17:46,848 AS WELL AS IN ENGINEERING AND 493 00:17:46,848 --> 00:17:48,716 TECHNOLOGY DEVELOPMENT. 494 00:17:48,716 --> 00:17:51,018 AND TO LEAD EXCELLENCE FOR 495 00:17:51,018 --> 00:17:52,754 RESILIENCE, RELIABILITY AND 496 00:17:52,754 --> 00:17:53,721 REPRESENTATION FOR THE 497 00:17:53,721 --> 00:17:57,358 INFORMATION SCIENCES. 498 00:17:57,358 --> 00:17:59,293 THESE ARE THE GUIDING PRINCIPLES 499 00:17:59,293 --> 00:18:01,496 FOR INVESTMENT. 500 00:18:01,496 --> 00:18:03,131 ONE IS TO HAVE INTENTIONAL 501 00:18:03,131 --> 00:18:05,233 STRATEGIES FOR DEVELOPING OUR 502 00:18:05,233 --> 00:18:06,634 UNIFIED COLLECTION. 503 00:18:06,634 --> 00:18:07,735 THIS MEANS PUTTING LOTS OF 504 00:18:07,735 --> 00:18:10,271 THOUGHT INTO THINGS, AND MAYBE 505 00:18:10,271 --> 00:18:12,206 THINKING IN NEW WAYS ABOUT THOSE 506 00:18:12,206 --> 00:18:16,144 COLLECTIONS. 507 00:18:16,144 --> 00:18:17,678 SECOND IS ACCESS TO COLLECTIONS, 508 00:18:17,678 --> 00:18:18,880 PROVIDING THAT WHILE PROTECTING 509 00:18:18,880 --> 00:18:20,314 THE RIGHTS OF BOTH USERS AND 510 00:18:20,314 --> 00:18:20,648 CONTRIBUTORS. 511 00:18:20,648 --> 00:18:24,252 AND I THINK WE SEE HEADLINES 512 00:18:24,252 --> 00:18:26,320 TODAY THAT ENDANGER THAT IN SOME 513 00:18:26,320 --> 00:18:27,755 PLACES. 514 00:18:27,755 --> 00:18:29,724 NEXT IS IN TERMS OF OUR 515 00:18:29,724 --> 00:18:34,662 RESEARCH, T -- TO SUPPORT EARLY 516 00:18:34,662 --> 00:18:35,396 CAREER RESEARCHERS. 517 00:18:35,396 --> 00:18:36,831 NEXT IS THE HIGH VALUE TECHNICAL 518 00:18:36,831 --> 00:18:37,698 INFRASTRUCTURE THAT WILL EMBRACE 519 00:18:37,698 --> 00:18:39,233 THE FUTURE, AND FINALLY, MAKING 520 00:18:39,233 --> 00:18:41,302 SURE THAT ALL OF OUR DECISIONS 521 00:18:41,302 --> 00:18:43,271 ABOUT THESE COMMITMENTS AND 522 00:18:43,271 --> 00:18:45,239 INVESTMENTS ARE DRIVEN BY DATA 523 00:18:45,239 --> 00:18:46,674 AND EVIDENCE. 524 00:18:46,674 --> 00:18:48,042 AND SO WITH THAT, LET ME THANK 525 00:18:48,042 --> 00:18:51,379 YOU FOR YOUR ATTENTION, AND ASK 526 00:18:51,379 --> 00:19:01,923 YOU IF YOU'VE GOT ANY QUESTIONS. 527 00:19:09,363 --> 00:19:15,236 YES? 528 00:19:15,236 --> 00:19:18,706 >> THE IMPLICATION OF NOT HAVING 529 00:19:18,706 --> 00:19:20,441 A BUDGET AT THE BEGINNING OF THE 530 00:19:20,441 --> 00:19:22,343 FISCAL YEAR, WHAT THAT OFTEN 531 00:19:22,343 --> 00:19:25,079 DOES, THESE ARE GENERAL ANSWERS, 532 00:19:25,079 --> 00:19:26,147 RIGHT, IS IT MEANS THAT WE HAVE 533 00:19:26,147 --> 00:19:28,449 TO BE VERY CAREFUL IF WE HAVE A 534 00:19:28,449 --> 00:19:29,283 CONTINUING RESOLUTION, AS WE 535 00:19:29,283 --> 00:19:31,953 HAVE NOW, WHICH WAS AT LAST 536 00:19:31,953 --> 00:19:33,588 YEAR'S FISCAL LEVELS OF FUNDING. 537 00:19:33,588 --> 00:19:35,022 WE HAVE TO BE VERY CAREFUL 538 00:19:35,022 --> 00:19:38,092 BECAUSE THAT'S NOT A GUARANTEE, 539 00:19:38,092 --> 00:19:39,594 FOR EXAMPLE, THAT ONCE WE GET 540 00:19:39,594 --> 00:19:40,928 THE NEXT TRANCHE OF MONEY, 541 00:19:40,928 --> 00:19:42,730 WHETHER IT'S THE WHOLE BUDGET OR 542 00:19:42,730 --> 00:19:46,167 ANOTHER CONTINUING RESOLUTION, 543 00:19:46,167 --> 00:19:47,268 THAT LEVEL MIGHT BE LOWER. 544 00:19:47,268 --> 00:19:48,903 SO IN PRACTICAL TERMS, WHAT IT 545 00:19:48,903 --> 00:19:50,671 MEANS IS WHEN WE GET OUR MONEY 546 00:19:50,671 --> 00:19:51,873 WITHOUT HAVING REAL 547 00:19:51,873 --> 00:19:53,274 UNDERSTANDING OF WHAT THE FULL 548 00:19:53,274 --> 00:19:55,610 YEAR IS GOING TO BE, WE'RE VERY 549 00:19:55,610 --> 00:19:55,943 CONSERVATIVE. 550 00:19:55,943 --> 00:19:57,211 WE HAVE TO BE. 551 00:19:57,211 --> 00:19:59,547 IN EXTRAMURAL PROGRAMS, FOR 552 00:19:59,547 --> 00:20:00,514 EXAMPLE, WHAT THAT VERY OFTEN 553 00:20:00,514 --> 00:20:02,283 MEANS IS THEY HAVE A WHOLE LIST 554 00:20:02,283 --> 00:20:04,018 OF GRANTS THEY WOULD LIKE TO 555 00:20:04,018 --> 00:20:06,621 FUND, AND THEY KNOW THAT IF THEY 556 00:20:06,621 --> 00:20:07,622 GOT THE BUDGET THAT THEY HAD 557 00:20:07,622 --> 00:20:09,123 LAST YEAR, THEY CAN FUND THIS 558 00:20:09,123 --> 00:20:10,258 MANY, BUT WHAT THAT MEANS IS 559 00:20:10,258 --> 00:20:11,659 EVEN IF THEY'VE GOT ALL OF THESE 560 00:20:11,659 --> 00:20:13,527 GRANTS LINED UP, THEY FUND JUST 561 00:20:13,527 --> 00:20:14,829 A FEW AT THE BEGINNING OF THE 562 00:20:14,829 --> 00:20:17,365 YEAR UNTIL IT CLEAR WHAT FUNDS 563 00:20:17,365 --> 00:20:19,300 THEY'LL HAVE AVAILABLE, AND THAT 564 00:20:19,300 --> 00:20:20,801 ACTUALLY IS WHY SOMETIMES YOU 565 00:20:20,801 --> 00:20:21,936 GET LOTS OF GRANTS GOING ON AT 566 00:20:21,936 --> 00:20:24,672 THE END OF THE FISCAL YEAR FROM 567 00:20:24,672 --> 00:20:27,508 NLM AND THE REST OF NIH FOR THAT 568 00:20:27,508 --> 00:20:29,377 MATTER AND OTHER AGENCIES AS 569 00:20:29,377 --> 00:20:29,710 WELL. 570 00:20:29,710 --> 00:20:35,483 GREAT QUESTION. 571 00:20:35,483 --> 00:20:36,717 WE HAVE A CONTINUING RESOLUTION, 572 00:20:36,717 --> 00:20:38,252 YOU CAN'T START ANYTHING NEW. 573 00:20:38,252 --> 00:20:41,555 WHAT DOES THAT MEAN? 574 00:20:41,555 --> 00:20:42,223 IT ALL DEPENDS. 575 00:20:42,223 --> 00:20:43,324 IT MEANS DIFFERENT THINGS FOR 576 00:20:43,324 --> 00:20:45,493 DIFFERENT PARTS OF NLM BUT YOU 577 00:20:45,493 --> 00:20:46,594 CAN'T START SOMETHING NEW. 578 00:20:46,594 --> 00:20:47,261 GREAT POINT. 579 00:20:47,261 --> 00:20:50,665 THANKS, DIANE. 580 00:20:50,665 --> 00:20:55,703 >> CAN YOU HELP ME UNDERSTAND 581 00:20:55,703 --> 00:20:57,772 HOW RESEARCH COMPUTATIONAL 582 00:20:57,772 --> 00:21:00,274 BIOLOGY FITS WITHIN THE NATIONAL 583 00:21:00,274 --> 00:21:01,275 LIBRARY OF MEDICINE STRUCTURE AS 584 00:21:01,275 --> 00:21:02,243 OPPOSED TO SOMEPLACE ELSE IN THE 585 00:21:02,243 --> 00:21:04,011 NIH, JUST SO I BETTER 586 00:21:04,011 --> 00:21:04,879 UNDERSTAND, LIKE, WHAT THE SCOPE 587 00:21:04,879 --> 00:21:12,653 OF THE LIBRARY IS AND HOW THAT 588 00:21:12,653 --> 00:21:12,887 COHERES? 589 00:21:12,887 --> 00:21:14,488 >> GOOD QUESTION. 590 00:21:14,488 --> 00:21:18,893 WHEN I THINK OF NLM, LIBRARIES 591 00:21:18,893 --> 00:21:19,860 ESSENTIALLY AS INFORMATION 592 00:21:19,860 --> 00:21:20,528 SOURCES. 593 00:21:20,528 --> 00:21:22,363 SO IT'S ALL ABOUT INFORMATION. 594 00:21:22,363 --> 00:21:24,332 COMPUTATIONAL BIOLOGY IS THE 595 00:21:24,332 --> 00:21:27,735 INFORMATION THAT IT LEVERAGES, 596 00:21:27,735 --> 00:21:30,805 IS DATA. 597 00:21:30,805 --> 00:21:32,773 IN THAT AREA, VERY OFTEN GENOMIC 598 00:21:32,773 --> 00:21:34,208 DATA, THOSE KINDS OF DATA. 599 00:21:34,208 --> 00:21:37,178 SO IT'S AN INFORMATION SCIENCE 600 00:21:37,178 --> 00:21:39,347 RESEARCH FOCUS, IS THE WAY I 601 00:21:39,347 --> 00:21:44,018 WOULD SAY, AND I SEE A VERY 602 00:21:44,018 --> 00:21:50,057 CLEAR RELATIONSHIP FOR THE 603 00:21:50,057 --> 00:21:51,125 LIBRARY. 604 00:21:51,125 --> 00:21:52,560 I COULD IMAGINE SOMETHING THAT 605 00:21:52,560 --> 00:21:54,428 WOULD DO COMPUTATIONAL ANALYSIS 606 00:21:54,428 --> 00:21:56,163 OF LITERATURE, RIGHT? 607 00:21:56,163 --> 00:21:57,531 AGAIN, IT'S THE INFORMATION THAT 608 00:21:57,531 --> 00:21:59,900 YOU'RE LOOKING AT, BIOMEDICAL 609 00:21:59,900 --> 00:22:05,806 INFORMATION. 610 00:22:05,806 --> 00:22:07,208 AND I SHOULD MENTION ACTUALLY 611 00:22:07,208 --> 00:22:11,278 OUR INTRAMURAL PROGRAM, THEY 612 00:22:11,278 --> 00:22:12,813 ALSO HAVE NATURAL LANGUAGE 613 00:22:12,813 --> 00:22:13,581 PROCESSING ACTIVITIES THAT GO 614 00:22:13,581 --> 00:22:14,015 ON. 615 00:22:14,015 --> 00:22:17,184 THEY APPLY THESE THINGS TO THE 616 00:22:17,184 --> 00:22:18,319 BIOMEDICAL LITERATURE, AS WELL 617 00:22:18,319 --> 00:22:22,323 AS TO MEDICAL INFORMATION IN 618 00:22:22,323 --> 00:22:23,290 ELECTRONIC HEALTH RECORDS AND SO 619 00:22:23,290 --> 00:22:25,793 FORTH, SO THERE'S A TIGHTER 620 00:22:25,793 --> 00:22:26,694 CONNECTION THAN WHAT I MIGHT 621 00:22:26,694 --> 00:22:30,064 HAVE JUST SUGGESTED. 622 00:22:30,064 --> 00:22:33,601 >> SO A LOT OF THE BEHIND THE 623 00:22:33,601 --> 00:22:35,269 SCENES FOR MANY OF OUR DATABASES 624 00:22:35,269 --> 00:22:37,204 ARE DRIVEN BY ALGORITHMS, WHICH 625 00:22:37,204 --> 00:22:38,506 BUILDS ON NATURAL LANGUAGE 626 00:22:38,506 --> 00:22:40,875 PROCESSES AND THINGS LIKE THAT. 627 00:22:40,875 --> 00:22:42,643 AND SO HAVING ALL OF THAT KIND 628 00:22:42,643 --> 00:22:45,413 OF WITHIN OUR STRUCTURE, SO 629 00:22:45,413 --> 00:22:46,814 PEOPLE KNOW WHO TO CONNECT WITH 630 00:22:46,814 --> 00:22:48,682 FOR THE DATA AND HOW TO 631 00:22:48,682 --> 00:22:52,953 INTERPRET TO BEST CREATE THESE 632 00:22:52,953 --> 00:22:54,055 ALGORITHMS, AND NING ABOUT 633 00:22:54,055 --> 00:23:01,028 TTHINK ABOUTTHINGS OF INTRODUCIY 634 00:23:01,028 --> 00:23:02,229 HELPFUL FOR US WITH OUR PRODUCTS 635 00:23:02,229 --> 00:23:02,830 AND SERVICES. 636 00:23:02,830 --> 00:23:03,497 >> YES. 637 00:23:03,497 --> 00:23:04,932 >> IS THERE A MOVE TO TRY AND DO 638 00:23:04,932 --> 00:23:06,834 ANYTHING WITH THE CSR IN TERMS 639 00:23:06,834 --> 00:23:09,870 OF GRANT REVIEWS AND DATA MINING 640 00:23:09,870 --> 00:23:11,405 TO SEE NOVELTIES -- 641 00:23:11,405 --> 00:23:12,706 >> I SEE WHAT YOU'RE SAYING. 642 00:23:12,706 --> 00:23:18,846 YES, WELL, I DON'T KNOW I OF ANY 643 00:23:18,846 --> 00:23:19,814 OF OUR INVESTIGATORS THAT ARE 644 00:23:19,814 --> 00:23:21,348 DOING THAT. 645 00:23:21,348 --> 00:23:22,650 BUT THAT'S DONE AT PLACES IN THE 646 00:23:22,650 --> 00:23:25,186 NIH, THE NIH LIBRARY DOES SOME 647 00:23:25,186 --> 00:23:25,619 OF THAT. 648 00:23:25,619 --> 00:23:28,722 DO YOU WANT TO ADD? 649 00:23:28,722 --> 00:23:34,595 >> -- GENERATIVE AI, SO THEY'RE 650 00:23:34,595 --> 00:23:38,165 USING THE OPENAI VERSION FROM 651 00:23:38,165 --> 00:23:39,633 MICROSOFT AZURE. 652 00:23:39,633 --> 00:23:43,237 NIDDK IS INVESTING IN A PROJECT 653 00:23:43,237 --> 00:23:45,973 TO TAKE GRANT PROPOSALS AND PUT 654 00:23:45,973 --> 00:23:49,777 THEM INTO A CUSTOMIZED PRIVATE 655 00:23:49,777 --> 00:23:52,313 AND SECURE LLM, LARGE LANGUAGE 656 00:23:52,313 --> 00:23:55,916 MODEL, SORRY, AND CREATE A 657 00:23:55,916 --> 00:23:58,986 BACKBONE FOR A DATA MANAGEMENT 658 00:23:58,986 --> 00:24:00,955 OUTPUT THAT FOLLOWS THE REQUIRED 659 00:24:00,955 --> 00:24:05,226 QUESTIONS AND ALSO MAPS TO 660 00:24:05,226 --> 00:24:08,295 COMMON DATA ELEMENTS AND OTHER 661 00:24:08,295 --> 00:24:10,331 PROTOCOLS, AND THAT WOULD HELP 662 00:24:10,331 --> 00:24:13,968 WITH DATA MANAGEMENT REQUIREMENT 663 00:24:13,968 --> 00:24:15,936 FOR THE NIH DATA MANAGEMENT AND 664 00:24:15,936 --> 00:24:18,472 SHARING INITIATIVE. 665 00:24:18,472 --> 00:24:20,875 >> YOU ALSO HAVE AN OFFICE OF 666 00:24:20,875 --> 00:24:22,810 PORTFOLIO ANALYSIS AT NIH, AND 667 00:24:22,810 --> 00:24:24,812 THEY ROUTINELY DO THOSE KINDS OF 668 00:24:24,812 --> 00:24:33,654 THINGS. 669 00:24:33,654 --> 00:24:34,755 ALL RIGHT. 670 00:24:34,755 --> 00:24:35,923 THANKS AGAIN FOR YOUR ATTENTION, 671 00:24:35,923 --> 00:24:39,226 AND I HOPE YOU HAVE A GOOD 672 00:24:39,226 --> 00:24:39,493 MEETING. 673 00:24:39,493 --> 00:24:49,737 THANK YOU.