>>I'M PATTY BRENNAN.
I'M THE DIRECTOR OF NATIONAL
LIBRARY OF MEDICINE, I AM
DELIGHTED TO INTRODUCE TO YOU
AMANDA RINEHART, WHO IS A LIFE
SCIENCES LIBRARIAN AND ASSOCIATE
PROFESSOR FOR THE DEPARTMENT OF
RAMP AND EDUCATION, UNIVERSITY
LIBRARY IT'S OHIO STATE
UNIVERSITY.
YOU KNOT TO MEET MS. RINEHART A
FEW WEEKS AGO WHEN, SHE
CONTRIBUTE AID BLOG POSTING F.
HAVEN'T SEEN IT YET, PLEASE TAKE
A LOOK.
MS. RINEHART.
START HERD CAREER NOT AS A
LIBRARIAN, BUT A BIOLOGIST AND
SPENT 11 YEARS WITH THE
DEPARTMENT OF AGRICULTURE,
TESTING ALTERNATIVE TO END
CULTURE METHODS TO REDUCE HUMAN
IMPACT ON CLIMATE.
SHE CONTINUOUS HER INTEREST IN
DATA, DEFIND BROADLY AS A
HETEROGENEOUS COLLECTION OF
INFORMATION USED FOR RESEARCH
PURPOSES.
IN HER ROLE AT THE UNIVERSITY,
THE OHIO STATE UNIVERSITY,
MS. RINEHART IS STIMULATING THE
IDEA OF DATA USE AS A CRITICAL
ROLE FOR LIBRARIANS, AND FOR ALL
PARTIES INTERESTED IN RESEARCH.
SHE HOLDS A MASTER OF SCIENCE
FROM THE SCHOOL OF INFORMATION
AT THE UNIVERSITY OF SOUTH
FLORIDA AND A MASTER OF SCIENCE
IN PLANT BIOLOGY FROM THE
UNIVERSITY OF MICHELLE
CLATTERBUCK STATE -- SORRY.
FROM MICHELLE CLATTERBUCK STATE
UNIVERSITY.
GOT THAT ONE A LITTLE BIT
CONFUSED.
I APOLOGIZE.
TODAY, MS. RINEHART IS HERE TO
DELIVER THE LECTURE, A COLLAB
BETWEEN THE MLA.
I WAS PREPPED TO DELIVER THIS
LECTURE A FEW YEARS AGO.
IT'S BEEN AROUND FOR ALMOST 40
YEARS, 69ED TO STIMULATE THE
INTELLECTUAL LIAISON BETWEEN OUR
TWO IMPORTANT GROUPS.
JOSEPH LIGHTER, BEGAN HIS CAREER
AS A CHEMIST AND WORKED AT NCI
FOR MANY YEARS SERVED AS THE
ASSISTANT CHIEF OF THE CANCER
HUMAN THERAPY UNI.
ONCE RETIRE FRIDAY THAT UNIT
AROUND 1965, MARTY COMINGS,
RECRUITED DR. LITER TO JOIN THE
NATIONAL LIBRARY OF MEDICINE TO
BECOME A ASSOCIATE DIRECTOR OF
LIBRARY OF OPERATIONS.
IN PART, DUE TO HIS EXPERIENCE
OF DATA ELECTRIC PROCESSING, HE
BROUGHT TO YOUS THIS VISION OF
HOW ELECTRONIC PROCESSING COULD
ASSIST IN OUR EFFORTS.
ADDITION AILED ALLEY, THOUGH, HE
HELPD TO EXPAND THE REGIONAL
MEDICINE LIBRARY. AND USED THE
CITATION NUMBER AS A QUICKBOOKS
CONNECT WAY OF CITING -- THE
TITLE OF MS. RINEHART'S LECTURE
TODAY IS "DATA'S COMMUNITIES.
ROOM FOR EVERYONE, ROLE FOR
LIBRARIANS." WE'RE DELIGHTED TO
HAVE YOU HERE.
WELCOME.
>> THANK YOU SO MUCH
DATA COMMUNITIES.
ROOM FOR EVERYONE, ROLES FOR
LIBRARIANS.
YOU BEFORE I GET STARTED, I'D
LIKE JUST TO GIVE YOU A LITTLE
OPTIONS TO INTERACT.
I SET UP A WEBSITE FOR TO YOU
ENTER COMMENTS IN.
YOU CAN EITHER TYPE IN THIS
ADDRESS MANUALLY, OR THIS PAGE
WHERE YOU GOOD GOT TO THIS VIDEO
CAST.
THERE'S A LINK WHERE THERE'S A
QR CODE HERE THAT CAN YOU USE.
AND I SET UP THE WEB PAGE, WITH
JUST THREE QUICK QUESTIONS ABOUT
DATA COMMUNITIES AND YOUR
EXPERIENCE.
I'D LOVE TO HEAR BACK FROM YOU
FEEL FREE TO TAKE A MINUTE AND
NAVIGATE TO THAT.
I'LL LEAVE THIS UP FOR A FEW
SECONDS AND I'LL PUT THIS SLIDE
UP AT THE END AS WELL.
AND IF YOU WOULD LIKE TO GIVE US
FEEDBACK AS WE GO.
CAN YOU USE THIS EMAIL HERE.
TO ASK QUESTIONS OR GIVE US
FEEDBACK.
SO I'M GOING TO TALK FOR 35, 45
MINUTES AND THEN I'M HOPING THAT
WE CAN HAVE SOME DIALOGUE AT THE END.
SO WHY DATA COMMUNITIES? WHY AM
I TALKING ABOUT THIS PARTICULAR
PHRASE
AND THE REASON IS DATA WHEN WE
TALK ABOUT DATA, WE TEND TO TALK
ABOUT THE TECHNICAL SIDE AND
THAT'S VERY NATURAL.
THAT'S UNDERSTANDABLE.
A LOT OF WORKING WITH DATA IS
VERY TECHNICAL IN NATURE AND A
LOT OF OUR LIVES ARE VERY
TECHNICAL IN NICHE AT THIS
POINT.
AND SO IT'S NATURAL TO GO RIGHT
THERE BUT THERE ARE THESE
TENSIONS BETWEEN THE SOCIAL
SIDE, AND SQUISHY SOFT SIDE OF
DATA, AND THE TECHNICAL SIDE OF
DATA AND I FEEL THE SOCIAL SIDE
IS A LITTLE BIT NEGLECTED.
I WANTED TO TALK ABOUT THE
SOCIAL SIDE OF DATA I DON'T
THINK THESE FACTORS CAN BE
SEPARATED AND I TEND TO LIKE A
LOT OF QUOTES FROM OTHER PEOPLE.
I WILL PUT THEM UP HERE AND
HOPEFULLY, THEY WILL INSPIRE YOU
TO GO LOOK UP WHERE THEY ARE
FROM.
THE WAY I'VE STRUCTURED TODAY'S
TALK.
I'M GOING TO TALK A LITTLE BIT
ABOUT WHAT WE MEAN BY DATA
COMMUNITIES IN THE PAST, WHY
THEY ARE IMPORTANT, SORT OF
DIFFERENT DEFINITIONS WHATEVER A
DATA COMMUNITY IS.
THEN I'M GOING TO USE COVID-19
TO LOOK AT OUR DATA COMMUNITIES
AND HOW THEY HAVE CHANGED IN OUR
PRESENT.
BECAUSE WE HAVE HAD A LOT OF
RADICAL CHANGE FACILITATED BY
COVID-19.
THEN DO A LITTLE BIT OF
SPECULATION ON OUR FUTURE.
WHAT MIGHT BE IMPORTANT AND
WHATEVER ROLES LIBRARIANS COULD
PLAY IF THEY'D LIKE, IN
PARTICULAR, ON THE SOCIAL SIDE
OF DO AMAZING THINGSA.
AND I DO FOCUS ON RESEARCH DATA
SHARING EVERY ONCE IN A WHILE,
I'LL EXPAND A LITTLE BIT INTO
BUSINESS AND COMMERCIAL DATA.
YOU MOST OF THIS WE'LL BE
TALKING ABOUT RESEARCH DATA
PRODUCTS.
SO A LITTLE BIT ABOUT ME.
DR. BRENNAN DID A BRIEF
OVERVIEW.
BUT I'LL JUST REITERATE, I DID
NOT START OUT AS A LIBRARIAN.
I STARTED OUT AS A RESEARCHER IN
THE OCA.
THAT'S ME THERE IN ONE OF OUR
LABS WITH MY FORMER SUPERVISOR
BEHIND ME, DR. BURRELL.
I'M LOOK AT EGG PLANTS AND
LOOKING AT ROOTS TO RATE THEM
FOR CERTAIN DISEASE.
I LOVED IT AND I CAN THAT FOR
ABOUT 11 YEARS AND OVER IN THE
OTHER PICTURE IS ME CURRENTLY.
CAN'T REALLY TELL, BUT BEHIND
ME, THERE'S ALL KINDS OF
PRESERVATION, CONSERVATION
EQUIPMENT, AND MANUSCRIPTS.
I BECAME A LIBRARIAN
ACCIDENTALLY, IN SOME WAYS.
IT'S BEEN WONDERFUL AND
DEFINITELY, THE RIGHT CHANGE FOR
ME BUT DO I CARRY A LOT OF MY
FIRST CAREER WITH ME SO WHAT I
LEARNED IN THAT FIRST CAREER
AROUND DATA WAS REALLY
SIGNIFICANT OF HOWIVE APPROACH
DATA TODAY.
IN THE YEAR 2,000.
I STARTED OUT WORKING FOR THE
USDA.
WE HAD ABOUT 12 PEOPLE IN OUR
LABS.
WE DID AGRICULTURAL RESEARCH.
IT'S VERY SLOW TO REPLICATE A
TODAY.
HAVE YOU TO WAIT FOR THE NEXT
YEAR AND PUT IT IN THE FIELD
AGAIN.
IT'S A VERY ARDUOUS, HIGH
INTENSE ACTIVITY.
WE HAVE ON AVERAGE ABOUT 12
PEOPLE AND PRODUCE MAYBE TWO
GIGABYTES PER DATA THAT DATA IS
REALLY VALUABLE.
FAST FORWARD A DECADE AND WE HAD
A VAST REBALANCING OF HOW MANY
PEOPLE WE NEEDED AND HOW MUCH
DATA WE WERE PRODUCING AS
TECHNOLOGY BECAME MORE
AFFORDABLE AND BETTER, WE HAD
TINY WEATHER STATIONS THROWING
OUT DATA ALL THE TIME. AND
MICRO CLIMATES.
WE HAD ROROBOTS IN THE LAB.
I DIDN'T NEED MANY PEOPLE, I
HIRED SKILLED PEOPLE AND WE CAN
PUT OUT SIX TIMES OF DATA WHEN
PEOPLE SAY, YOU KNOW, THAT WE
HAVE MORE DO AMAZING THINGSA NOW
THAN EVER, OR THE VELOCITY OF
DATA HAS INCREASED, WHEN YOU
LIVE IT, IT'S ASTONISHING, HOW
FAST YOUR NEEDS CHANGE AROUND
THIS WORLD AND HOW DIFFICULT IT
IS AS A RESEARCHER TO KEEP UP
WITH IT IS AND I THINK
AGRICULTURE MIGHT HAVE BEEN A
LITTLE BIT BEHIND EVERYONE ELSE
IN SOME WAYS I WENT INTO MEDLINE
AND SEARCHED FOR ARTICLES AND I
SEPARATED BY DECADE AND MAPPED
IT OUT HERE, AND YOU CAN SEE
THAT IN THE 50'S AND 60'S, LIVES
A LITTLE BIT OF A HUMP WHERE
PEOPLE WERE INTERESTED IN DATA
BUT REALLY, THE 90S, IT TOOK
OFF.
IN THE 90'S, DATA
DEMOCRATIZATION START TO COME UP
AS A TOPIC IN RESEARCH AND
REALLY -- SO IT'S NO SURPRISE
THEN, THAT IN THE 2,000S, THE
FUNDING AGENCIES STARTED COMING
OUT WITH POLICIES AROUND DATA
DEMOCRATIZATION DATA BRIDGA.
TH-- AROUND DATDATA.
IN 2003.
NIH HAD THEIR FIRST DATA SHARING
POLICY.
IT PLY MS. RINEHART ISD TO
$500,000 AND UP.
IN 2011, THE NATIONAL --
ALL THE ACRONYMS OF ALL THE
AGENCIES THAT HAD SOME KIND OF
POLICY AROUND DATA AND HOW TO
ADDRESS IT.
IN FACT, MOST OF THE PRIVATE
FUNDERS ALSO JUMPED ON BOARD AT
THAT TIME.
SO IF YOU WERE GETTING FUNDED TO
DO RESEARCH, YOU SUDDENLY HAD
DATA ISSUES ON THE SIDE OF
PRODUCTION AND HANDLING IT.
BUT YOU ALSO HAD DATA ISSUES ON
YOUR FUNDING SIDE OF HOW TO MEET
NEW EXECUTIVE PRESENCE
PECKTATIONS AND REQUIREMENTS.
AND OF COURSE, IN 2023, WE HAVE
A NEW NIH DATA MANAGEMENT AND
SHARING POLICY COMING INTO
EFFECT.
SO I BECAME A LIBRARIAN IN 2011.
RIGHT AS THIS NATIONAL SCIENCE
FOUNDATION DATA MANAGEMENT PLAN
DROPPED AND I BECAME A DATA
LIBRARIAN.
AT THAT POINT IN DO I DO IT WAS
CALLED AN E-SCIENCES LIBRARIAN.
THE FIRST QUESTION I WAS FACING
WITH RESEARCHERS WAS "WHAT IS
THIS DATA" THAT THEY WANT?
RIGHT?
WHATEVER COMES TO DATA EVEN
GETTING A DEFINITION OF WHAT DO
WE WE MEAN BY THE DATA WAS VERY
CONTROVERSIAL.
SO THEIR NUMBER ONE FREQUENTLY
ASKED QUESTION ON THEIR PAGE WAS
WHAT CONSTITUTES THE DATA AND
THE ANSWER SAID IT WOULD BE
DETERMINED BY THE COMMUNITIES OF
INTEREST AND THAT WAS NOT SUPER
HELPFUL FROM CLARIFYING THAT.
SO THE SECOND QUESTION
RESEARCHERS HAD AFTER WHAT IS
DATA IS WELL, WHO ARE THESE
COMMUNITIES? WHO'S JUDGING ME?
WHO'S JUDGING MIGHT HAVE DATA
HANDLING?
WHO WANTS MY DATA?
FOR MANY, MANY RESEARCH
CULTURES, INCLUDING THE ONE THEY
CAME FROM, SHARING DATA WAS NOT
THE NORM.
IT WAS NEVER AN EXPECTATION THAT
PEOPLE OUTSIDE OF YOUR RESEARCH
GROUP OR EVEN OUTSIDE OF YOU
WERE EVER GOING TO REALLY LOOK
AT YOUR DATA.
THE RECALL, YES.
THE RECALL WAS SUPPOSED TO BE
PUBLISHED.
PEOPLE WOULD REVIEW T. BUT NOT
YOUR DATASET.
THAT WAS A MUCH MORE PRIVATE
CONCEPT AND STILL IS IN MANY
WAYS.
SO THESE COMMUNITIES OF
INTERESTING, SUDDENLY,
EVERYBODY'S LIKE, WHAT IS THE
COMMUNITY.
I'M ANYTHING TO SIMPLIFY THAT
QUESTION TO WHAT IS A DATA
COMMUNITY AND I THINK WE DON'T
REALLY VERY MUCH GOOD CONSENSUS
ON THIS YET, BUT WE'RE NARROWING
IN ON IT.
I WANT TO THROW OUT A COUPLE OF
DEFINITIONS, JUST SO CAN YOU GET
YOUR FEET WET WITH THE IDEA THE
FIRST PERSON THAT START LOOK AT
DATA COMMUNITIES THAT I CAME
CROSS WAS CAROLON -- THEY DID A
NUMBER OF STUDY THAT IS LOOKED
AT SCIENTISTS AND THEIR
PRACTICES AND BEHAVIORS AROUND
DATA AND THIS PARTICULAR CHART
HERE, IT'S REALLY JUST TO
DEMONSTRATE THAT THEY LOOKED AT
THEM, ACCORDING TO DISCIPLINE.
SO IN MY WORLD, MY ACADEMIC
WORLD WHERE WE HAVE PEOPLE
SEPARATED INTO NICE CAPTAINS AND
COLLEGES, THAT'S WHAT WE CALL
THEIR DISCIPLINE.
AND CAN YOU SEE FROM THIS CHART,
THE ENVIRONMENTAL SCIENCE
PEOPLE, AND ECOLOGISTS ARE MUCH
MORE WILLING TO SHARE THEIR
DATA, THAN SAY, THE ENGINEERING
PEOPLE, WHO ARE AT THE BOTTOM OF
THE CHART.
THIS WAS TREMENDOUSLY USEFUL
INFORMATION TO MOST MY CLIENTELE
WILL SEPARATE, ACCORDING TO
THESE DATA, AND I HAVE LIST
SERVICE.
IF I'M TALK TO THE ECOLOGIST, I
CAN BE RELATIVELY SURE THEY ARE
GOING TO BE MORE OPEN TO THE
DATA SERVICES THAN MAYBE THE
ENGINEERING PEOPLE ARE.
I THOUGHT FOR THIS AUDIENCE, THE
MOST INTERESTING BIT OF SOME OF
OUR THOSE STUDY THAT IS WERE
DONE, IS BIOMEDICINE IS ACTUALLY
PRETTY SIMILAR TO BUSINESS AND
PSYCHOLOGY IN SOME WAYS AND THAT
THESE DISCIPLINES DO NOT WISH TO
SHARE THEIR DATA AND IT'S
PROBABLY BECAUSE OF HUMAN
SUBJECTS.
IT MAY BE BECAUSE OF POTENTIAL
COMMERCIALIZATION, BOTH WORKING
WITH HUMAN SUBJECTS, MAKES
SHARING A LITTLE BIT DIFFICULT,
AS WELL AS IF YOU'RE GOING TO
COMMERCIALIZE SOMETHING YOU
DON'T WANT TO SHARE YOUR DATA
AND INVALIDATE YOUR PATENT
ABILITY.
SO IN PARTICULAR, IN MEDICINE
AND HEALTH SCIENCES, THIS IS A
LITTLE BIT TRICKYER, MAYBE THAN
IN SOME OF THE, RESEARCH FIELDS.
SO THEN, YOU KNOW, IT'S EVENT
FOR ME TO LOOK AT DATA SHARING
PRACTICES BY DISCIPLINE, BUT
WHEN I ACTUALLY WORK WITH
RESEARCHERS, AND MY PERSONAL
EXPERIENCE BEING A RESEARCHER,
IT DOESN'T REALLY QUITE MATCH UP
TO A DATA COMMUNITY.
THAT'S NOT NECESSARILY THE
COMMUNITY THAT'S INTERESTED IN
ANY PARTICULAR DATASET.
SO WHEN WE LOOK AT PEOPLE WHO
ARE GOOD AT SHARING DATA, WHO
HAVE HAD DATA REPOSITORIES FOR
QUITE SOME TIMES, SOMETIMES THEY
ARE RANGED AROUND DISCIPLINE,
SOMETIMES THEY ARE NOT.
IPCR IS A VERY LARGE SOCIAL
SCIENCE DATA REPOSITORY 16ED IN
1962.
REALLY WELL-KNOWN AND THEY HAVE
A FANTASTIC DATA MANAGEMENT
MAPPUAL, BYMAP-- MANUAL, FOR PRL
SCIENCE DATA YEAH, THAT'S A
DISCIPLINARY COMMUNITY THERE.
SO THAT ONE MIGHT BE A
DISCIPLINE-CENTRIC DATA
COMMUNITY.
BUT THEN YOU GET TO SOMETHING
LIKE CAMBRIDGE CRYSTAL GRAPHIC
DATA CENTER.
THEY ONLY FOCUS ON CRYSTAL
STRUCTURES, WHICH IS ACTUALLY
ACTUALLY DEPENDENT UPON A FILE
TYPE, A VERY SPECIFIC KIND OF
FILE TYPE.
SO THAT REPOSITORY IS REALLY
MORE ORIENTED TOWARDS A FILE
TYPE THAN A DEPARTMENTAL
DISCIPLINE.
AND THEN YOU GET SOMETHING LIKE
THE NATIONAL SNOW AND DATA, AND
ICE DATA CENTER.
THEY IGNORE BOTH SORT OF OUR
TRADITIONAL CATEGORIES AND FILE
TYPE.
THEY'RE INTERESTED IN ANY DATA
FROM FROZEN PART ARES OF THE
EARTH.
SO THIS COULD BE SEISMIC GRAPHS.
ANTHROPOLOGY DATA, WHEN WE TALK
ABOUT A DATA COMMUNITY, IT
DIDN'T REALLY MAP DIRECTLY TO
DISCIPLINE IN MANY WAYS, BUT IT
DOESN'T REALLY MAP TO DATA TO
FILE TYPES EITHER.
AND I THINK IN JEN BRING, THE
DNA SEQUENCES THAT ARE PUBLICLY
AVAILABLE, YES, EVERYONE THERE
MIGHT BE WORKING WITH DNA BUT I
THINK YOU WOULD BE HARD PRESSED
TO GET EVERYONE WHO SUBMITS TO
JEN BANK AND WORKS WITH JEN BANK
DATA, THINKING THAT THEY ARE IN
THE SAME DATA COMMUNITY.
SO WE'RE STRUGGLING A LITTLE BIT
WITH WITH SORT OF HOW TO GET
DATA COMMUNITY SCOPED AND NAILED
DOWN.
SO THE FIRST TIME I REALLY SAW
PEOPLE IN THE INFORMATION
PROFESSION AS APPROACH THIS
TOPIC AND REALLY SAY LOOK.
WE'D LIKE TO UNDERSTAND WHAT
DATA CUES ARE DOING.
NSF-FUNDED ENDEAVOR DONE BY THE
DATA CURATION HEART ATTACK.
AN-- OAF DATA CURATIONNETWORK.
ONE OF THEIR OBJECTIVES WAS TO
TEST THE DATA COMMUNITY'S
FRAMEWORK, WHICH IS TO
ESSENTIALLY, TRY AND LEVERAGE
GROUPS OF PEOPLE, DEFINING THESE
GROUPS OF PEOPLE, TO MOVE THIS
RESEARCH DATA SHARING FORWARD
AND I SHOULD EMPHASIZE, LAWYER
OTHER OBJECTIVES OF THIS STUDY
THEY JUST DIDN'T PUT UP ON THIS
SLIDE.
BEAUTS WORTH IT TO GO READ ABOUT
ONE OF THE THINGSES I REALLY
LIKE ABOUT THE LEVERAGING DATA
COMMUNITIES EFFORT IS THEY ARE
STARTING FROM THE BOTTOM AND
BUILDING UP THE CONCEPTS AROUND
DATA SHARING.
SO INSTEAD OF SHORT OF THE BUILD
IT AND THEY WILL COME, WHICH HAS
BEEN A LOT OF THE APPROACH FOR
VERY REASONABLE REASONS, THIS
PARTICULAR EFFORT IS REALLY
GOING TO THE RESEARCHERS
THEMSELVES, AND TALKING TO THE
RESEARCHERS AND THEN BUILDING
SERVICES UP AROUND THAT.
ANAND THEIR FIRST DATE ON A DATA
COMMUNITY IS THIS DEFINITION OF
A FLUID AND NETWORK OF
RESEARCHERS WHO SHARE AND USE A
CERTAIN TYPE OF DATA.
SO TO ME, THAT DEFINITION ALMOST
BECOMES THE DATA COMMUNITY IS
THE RESEARCH GROUP AND I DO LIKE
THAT.
I THINK THAT WE'RE GETTING
CLOSER, MAYBE TO WHAT A DATA
COMMUNITY DEFINITION IS.
BUT I SHARE TO POINT OUT, THIS
PHRASE, DATA COMMUNITIES HAS
ALSO A RISEN IN OTHER AREAS OF
OUR WORLD, OUTSIDE OF ACADEMIA,
OUTSIDE OF RESEARCH, IN
PARTICULAR.
IN THE BUSINESS COMMUNITY.
A DATA COMMUNITY CAN MEAN A VERY
SPECIFIC TYPE OF IDEA AND I KIND
OF LIKE THIS DEFINITION.
I LIKE IT AND I HATE T. IT'S
BASICALLY, DATA COMMUNITIES ARE
SPECIALIZED COMMUNITIES, MADE UP
OF ORGANIZATIONS THAT HAVE DATA
AND ORGANIZATION THAT IS WANT
DATA, TIED TOGETHER, BASED ON
INTENT DRIVEN USE OF THE DATA
AND THE EMPHASIS OF THESE QUOTES
IS MINE.
I LOVE THE INTENT DRIVEN.
IT'S PRETTY TRANSACTIONAL ABOUT
ORGANIZATION THAT IS WANT DATA
AND ORGANIZATIONS HAVE DATA I
THINK THAT'S MUCH MORE OF THE
COMMERCIAL TAKE ON IT THAT'S A
LITTLE BIT ABOUT THE PAST AND
SORT OF THE PHRASE DATA
COMMUNITY, WHY RESEARCHERS CAN
GET REALLY STRESS BODY T. IF
DATA COMMUNITY COMMUNITIES ARE
JUDGING THEM, BUT WE CAN'T
DEFINE THEM, HOW ARE WE SUPPOSED
TO WRESTLE WITH THIS.
THIS IS AN EVOLVING FIELD SO I
FULLY EXPECT IN THE NEXT FEW
YEARS, WE'LL BE BACK HAVE
DIFFERENT DEFINITIONS WHATEVER
COMMUNITY IS.
AND WHAT THEY MENTOS.
I'M GOING TO TALK ABOUT COVID-19
DATA BECAUSE I THINK THAT'S THE
MOST ILLUSTRATIVE, POSSIBLY
EXTREME EXAMPLE OF RESEARCH DATA
SHARING AND HOW IT'S AFFECTED
US IN OUR CULTURE AND I'LL MOVE
ON.
TO THE FUTURE OF WHERE WE THINK
WE'RE GOING WITH THIS SO THE
COVID-19 DATA DEMOCRATIZATION
COMMUNITIES, YOU KNOW,
OBVIOUSLY, AS I'M SURE EVERYONE
IS AWARE, WHEN COVID-19 CAME,
RESEARCHERS HAD TO PIVOT VERY,
VERY QUICKLY.
SO DATA COMMUNITIES, RESEARCHERS
WERE FORMED EXCEPTIONALLY
QUICKLY AND A LOT OF THE REASONS
FOR DATA SHARING THAT WE HAVE
TALKED TO PEOPLE ABOUT, YOU
KNOW, A LOT OF THE INCENTIVES
FOR DATA SHARING THAT AS A DATA
LIBRARIAN I HAVE TOLD PEOPLE,
REALLY STARTED TO BE ILLUSTRATED
AS TRUE IN THE CIRCUMSTANCE.
SO A LOT OF THE LANGUAGE AROUND
DATA SHARING IS OH, YOU'LL GET
MORE CITATIONS BECAUSE MORE
PEOPLE WILL GET YOUR RESEARCH
AND IT WILL ACCELERATE THE PACE
OF DISCOVERY, AND PUSH FIELDS
FORWARD FASTER.
THESE OF COURSE NEBULOUS IDEAS.
THEY DIDN'T REALLY SEEM TO
RESIDE NATE WITH RESEARCHERS.
THEY ARE LIKE, YEAH, YEAH, OKAY.
YOU OUR TRADITIONAL WAY WORKS
AND IT'S SECURE.
BUT WE SEE WITH THE COVID-19
DATA, THIS FIRST PAPER IS THE
FIRST RELEASE OF THE GENETIC
SEQUENCE OF COVID-19 AND I
PULLED OFF THIS SCREEN SHOT TWO
DAYS AGO.
IT HAD 5,922 CITATIONS.
SO DIROUGH BEHIND OF THE
ENVELOPE MAP, AND IT WAS 500
CITATIONS A DAY.
IN A WORLD WHERE YOUR
REPRESENTATION DEPENDS ON YOUR
CITATIONS, YOUR PROMOTIONS
DEPARTMENT ON YOUR CITATIONS.
THIS IS MASSIVE INCENT TESTIFY
SHARE YOUR DATA, IF YOU'RE GOING
TO GET THAT KIND OF CREDIT.
NOW, GRANT IT, IF YOUR DATA
ISN'T COVID-19 DATA, YOU NIGHT
NOT SO MUCH.
BUT COVID-19 REALLY ILLUSTRATED
THAT THIS COULD BE TRUE.
AS WELL AS IDEA THAT IF WE
CANNOT DO THIS DATA SHARING.
WE WOULD NOT HAVE A VACCINE THIS
QUICKLY.
WE WOULD NOT HAVE THE TREATMENTS
WE HAVE THIS QUICKLY.
AND IN THIS PARTICULAR
SITUATION, TIME IS OF THE
ESSENCE AND SO THERE IS NO
BETTER ILLUSIONS STATION OF OPEN
DATA SHARI SHARING AND HOW HOWS
BENEFITING OUR SOCIETY. AND
FULFILLING THE PROMISE OF OPEN
SCIENCE THAN COVID-19.
NOW, NOT NECESSARILY EASY EASY
TO DO THIS, THOUGH.
ONE OF THE THINGS THAT REALLY
FACILITATED OPEN DATA SHARING IN
COVID-19 IS THERE WAS ACTUALLY A
STATEMENT MADE BY THE
PUBLISHERS, FUNDERS OF VARIOUS
SOCIETIES THAT SAID LOOK WANT
JUST SHARE.
SHARE YOUR DATA, ARTICLES, SHARE
EVERYTHING.
WE WILL NOT HOLD IT AGAINST YOU.
WE WILL NOT CONSIDER THAT, YOU
KNOW, WE'RE NOT GOING TO PUBLISH
YOUR ARTICLE BECAUSE YOU SHARED
YOUR DATA OVER HERE.
THEY REALLY RESOLVED A LOT OF
THE OCCURRENCE OR SORT OF
WORKFLOW ISSUES AROUND DATA
SHARING.
AND THEN COMING OUT WITH THE
STATEMENT, AND BEING VERY PUBLIC
ABOUT IT, THINK REALLY BROKE
DOWN BARRIERS TO OPENLY SHARING
RESEARCH DATA.
THAT DOESN'T MEAN EVERYTHING
WENT SMOOTHLY THOUGH,
UNFORTUNATELY.
SO WE HAVE A LOT OF INFORMATION
COMING ON THE.
WE HAVE A LOT OF PEOPLE SHARING
PREPRINTS, AS LONG ASKER, BEFORE
THEY ARE PEER REVIEWED, SHARING
DATASETS.
THIS IS A PARTICULAR SCANDAL
AROUND COVID-19 DATASETS.
IT WAS BASICALLY A COUPLE OF
ARTICLES THAT CAME OUT AND SAID
BASED ON THIS PROPRIETOR DATA
OF, FROM HOSPITALS AND FROM
PATIENT STUDIES, WE RECOMMEND
THE HI PROXY CLEAR KLEIN
TREATMENT AND OF COURSE, THESE
GET PUBLISHED AND "THE NEW
ENGLAND JOURNAL OF MEDICINES,"
VERY PRESTIGIOUS JOURNALS AND
THEN WHEN PEOPLE BROUGHT UP
QUESTIONS ABOUT THEM AND
ATTEMPTED TO REVIEW THEM, THEY
ACTUALLY GOT REED.
THE QUESTIONS WERE RELATED TO
THIS DATASET.
WHICH I DON'T BELIEVE TO THIS
DAY, HAVE NOT BEEN RESOLVED AS A
LEGITIMATE DATASET.
AS A RESULT OF THIS, AT LEAST
THE LANCEET HAS COME OUT AND
SAID LOOK.
WHEN PAPERS LIKE THIS COME UP,
WE'RE ANYTHING TO HAVE TO HIRE
STATISTICIANS TO REVIEW THE
DATA,?
IT'S NO LONGER CONSIDERED
SUPPLEMENTARY TO THE ARTICLE.
THIS MIGHT BE REALLY FUNDAMENTAL
AND SOMETHING WE NEED TO HAVE
NEW PROCESSES AROUND SO EVEN
THOUGH IT'S FULFILLING THE
PROMISE OF OPEN ESCAPES, WE HAVE
A LOT OF WORK TO DO IN ORDER TO
REALLY MAKE THIS WORK SMOOTHLY.
THE OTHER THING THAT COVID-19
AND SHARING DATA REALLY CHANGED
IS ON THE PUBLIC SIDE OF
THINGSES.
I WOULD HAVE NEVER ENVISIONED
THE WORLD WHERE THE WALL STREET
JOURNAL CARE BODY HEALTH
SCIENTISTS WERE SHARING DATA
DEMOCRATIZATION,A AND SUDDENLY,
IT'S LIKE, WE'RE UNDER THE
MICROSCOPE OF HOW YOU'RE SHARING
DATA, WHERE ARE FILES VERSIONING
THIS PARTICULAR ARTICLE WAS
FOCUSED ON FILE THAT IS GOT PUT
UP AND TAKEN DOWN AND KNOT TAKEN
DOWN AGAIN.
INFORMATION MIGHT BE VERSIONED
OR, YOU KNOW, NEW FILES PUT UP.
SUDDENLY, WE HAVE PEOPLE LIKE
"THE WALL STREET JOURNAL"
INTERESTED AND IT'S A LITTLE BIT
DIFFICULT FOR THEM TO INNO
VITALY NINAKOV AND RESOLVE OUR
ISSUES, WHEN YOU'RE UNDER THE
MICROSCOPE LIKE THAT.
HOWEVER, THERE IS AN UPSIDE TO
IT.
AND PART OF THAT UPSIDE IS THAT
A COUPLE OF STUDIES HAVE POINTED
TO THE PUBLIC CHANGING
THEIR AD TAUGHT AROUND SHARING
THEIR DATA FOR RESEARCH
PURPOSES.
WE HAVE SEEN THAT THE PUBLIC
GIVE A LOT OF DATA TO COMMERCIAL
ENTERPRISES, INCLUDING ME, YOU
KNOW, YOUR TRACT YOU'RE TRACKED
WHEN YOU'RE ONLINE AND IT
MONITORS AND SUNDAYS YOU THINGS.
BUT IT'S A LITTLE BIT MORE
DIFFICULT TO GET DATA FROM THE
PUBLIC OR GET THE PUBLIC TO BE
COMFORTABLE HANDING OVER DATA
FOR RESEARCH PURPOSES, FOR
EXAMPLE, FOR PUBLIC HEALTH
PURPOSES.
BUT A COUPLE OF TODAYS OF COURSE
DONE THAT SAY ACTUALLY, NOW THAT
COVID-19 HAS HAPPENED, PEOPLE
WERE MUCH MORE OPEN TO SHARING
THEIR PERSONAL DO AMAZING
THINGSA WITH PEOPLE WHO ARE
TRYING TO DO GOOD.
SO THIS IS VERY ENCOURAGING.
THAT MAY BE THE SILVER LINING TO
ALL THE ATTENTION THAT COVID-19
AND THE DATA SHARING SCANDALS
AND THINGS HAVE HAPPENED, MAYBE
THE SILVER LINING IS THAT WE
WILL CHANGE SOME OF OUR ABILITY
TO GET A HOLD OF DATA THAT WILL
REALLY HELP US.
SO THAT'S WHERE WE ARE IN THE
PRESENT.
AND I WILL SAY, DON'T THINK
PEOPLE KNOW HOW THINGS ARE ARE
GOING TO SHIFT IN THE FUTURE, IF
THEY ARE GOING TO HAPPEN, IF
WE'RE GOING TO SEAT POSITIVE
SIDES, HANG O. I CERTAINLY HOPE
THAT WE DO.
I THINK RESULTING SOME OF OUR
WORKFLOW ISSUES AROUND OPEN DATA
SHARING, I LOVE THAT THE PUBLIC
IS INTERESTED PERSONALLY,
BECAUSE I THINK THE MORE PEOPLE
GET INVOLVED WITH DATA, THE MORE
UNDERSTAND IT AND YOU CAN MAKE
GOOD DECISIONS.
SO I WANTED TO IN THE FUTURE,
SPECULATE A LITTLE BIT ABOUT
ENDURING DATA ISSUES OR NEW DATA
DEMOCRATIZATION ASHES.
A COUPLE OF ROLES FOR
LIBRARIANS.
I FREELY ADMIT, THIS IS NOT
COMPREHENSIVE, GIVENS OUR TIME
CONSTRAINTS AND JUST IN GENERAL,
THE WIDE WORLD OF DATA I LIMITED
MYSELF TO ONLY TALKING ABOUT
THREE TOPICS AND ONLY THREE
ROLES THAT LIBRARIANS COULD PLAY
WITH EACH TOPIC.
HOPEFULLY, I WILL SEE A LOT OF
POTENTIAL THERE.
AND THEN A LITTLE BIT ABOUT WHY
A LIBRARIAN WOULD GUILTY
INVOLVED WITH DATA.
I THINK THAT IS A VERY
LEGITIMATE QUESTION TO ASK.
AND THEN I'LL END WITH MAYBE A
COUPLE OF IDEAS ABOUT HOW YOU
CAN GET INVOLVED IF YOU'RE NOT
ALREADY.
SO THE FIRST TOPIC I THINK IS
REALLY GOING TO BE IMPORTANT,
HAS BEEN IMPORTANT, BUT REALLY,
HAS ELEVATED IS DATA ETHICS AND
TRUST.
WE HAVE A LOT OF PEOPLE WORKING
WITH DATA AND HOPEFULLY, I'VE
ILLUSTRATED THAT EVEN AS A
RESEARCHER, THE LANDSCAPE UPON
CHANGES SO FAST WITH THE DATA
YOU CAN GET AND WHAT YOU NEED TO
LEARN TO WORK WITH T THAT
THERE'S NOT A LOT OF COMMUNITY
NORMS.
I THINK THE BEST EXAMPLE OF THIS
IS ART OFFICIAL INTELLIGENCE,
THAT COMMUNITY THAT WORKS WITH
ARTIFICIAL INTELLIGENCE, THEY
HAVE COME OUT WITH A LOT OF
DIFFERENT STATEMENTS AROUND
ETHICS AROUND IT IN PART,
BECAUSE THERE OF COURSE A LOT OF
STUDY THAT IS HAVE REVEAL WOULD
THAT ART OFFICIAL GOINGS HAS
RESULTED IN A LOT OF SORT OF
UNINTENDED, NEGATIVE
CONSEQUENCES, BIAS, SAY, IN HOW
LOANS ARE GRANTED OR EVEN HOW
SOCIAL MEDIA EFFECTS US.
AND THESE ARE NOT NECESSARILY
INTENDED.
IT'S NOT MALICIOUS, PER SAY,
IT'S BECAUSE IT'S INVOLVING
TECHNOLOGY AND WE NEED TO PAY
ATTENTION TO WHAT WE DO WITH IT,
BASICALLY.
SO THERE'S WONDERFUL ETHIC
STATEMENTS COMING OUT, BUT A LOT
OF RESEARCHERS POINTED OUT, CAN
YOU HAVE AN ECTIC STATEMENT, BUT
IF YOU DON'T HAVE ACTION AROUND
IT OR ACCOUNTABILITY, IT REALLY
DOESN'T MEAN ANYTHING.
SO YOU KNOW, INVOLVING COMMUNITY
NORMS.
MAKING SURE THAT THEY ACTUALLY
WORK.
OF COURSE, HAVING UNDER
REPRESENTED COMMUNITIES, BOTH
REPRESENTED IN THE DATASETS IS
IMPORTANT, BUT ALSO HAVING THEM
HAVE A SAY ABOUT HOW THE
DATASETS ABOUT THEM ARE
REPRESENTED, I THINK THAT IS
SOMETHING THAT HAS BEEN LONG,
LONG NEGLECTED SO IT'S IMPORTANT
TO REACH OUT TO THOSE COMMUNITY
IN HOW THEY HAVE A SAY OF HOW
DATA GET OUT L HOW IT IS
INTERPRETED.
SO DATA INTEGRITY PROBLEMS
VERSIONING, IT SOUNDS LIKE
ARCHIVES TO ME.
THAT WOULD HAVE HELPED WITH
THAT COVID-19 DATA SCANDAL.
LANDLORD OF COURSE?
ASSURANCE THAT DATASET WAS
ACCURATE.
AND I ACTUALLY ADDED SOME CYBER
SECURITY HERE.
A LOT OF PEOPLE THINK OF SUCCAR
SECURITY AS SOLEET TECHNICAL
SADSIDE AND THERE WERE CERTAINLY
FAST TECHNICAL SIDES TO T. BUT
IT'S STILL HUGELY B ESPECIALLY
IN THE RESEARCH REALM, DOES THE
RESEARCHER KNOW WHAT THEY ARE
ALLOWED TO DO WITH THE DATA?
CAN YOU COPY THAT FILE AND TAKE
IT HOME FOR THE WEEKEND TO RUN
AN ANALYSIS.
WHAT ABOUT THOSE OLD FILE ON THE
LAP TOP WHEN YOU TRAVEL AROUND
THE WORLD TO CONFERENCES.
YOU STILL NEED TO MAKE SURE THE
DATA IS SAFE.
THERE IS STILL A SOCIAL SIDE TO
THESE TOPICS.
SO LIBRARIAN ROLES IN THIS AREA.
WE HAVE BEENING DOING
INFORMATION ETHICS NEAR A LONG,
LONG TIME AND DATA FORM IS JUST
ANOTHER INFORMATION.
THE ABILITY FOR LIBRARIANS TO
THINK, GOSH, WE CAN DO THAT WITH
THE DATA BUT SHOULD WE.
WE ASK THAT A LOT WITH OUR
PATRON DATA, CIRCULATION DATA,
EVEN HOW WE WORK IN OUR
ARCHIVES, WE ATTEMPT TO BE
ETHICAL.
I THINK THAT'S THE STRENGTH THAT
LIBRARIANS BRING TO THE TAKE.
WE ALSO, AND THIS IS GOING TO
COME UP A COUPLE TIMES.
LIBRARIANS SIT AT THE
INTERSECTION BETWEEN GROUPS.
WHETHER THAT'S GROUPS WITHIN
YOUR ORGANIZATION OR DEPARTMENTS
OR EVEN INTERFACING BETWEEN THE
LIBRARIAN AND THE RESEARCHERS.
THERE SURPRISINGLY AREN'T A LOT
OF PEOPLE THAT SIT IN THOSE
SPACES AND CONNECTING PEOPLE UP,
CONNECTING COMMUNITIES UP CAN BE
REALLY IMPORTANT.
ITEM SOCIAL SERVICE AGENCIES
LIKE IT'S REALLY SMALL.
BUT JUST LIKE SAYING, HEY,
YOU'RE STRUGGLING WITH THAT
ETHICS, AND THE ARTIFICIAL
INTELLIGENCE PEOPLE OVER HERE OF
COURSE DOING THAT FOR A WHILE.
WHY DON'T YOU LOOK AT SOME OF
THOSE?
THAT IS TREMENDOUSLY VALUABLE TO
PUSHING EVERYONE FORWARD. AND
LAST BUT NOT LEAST.
DIGITAL PRESERVATION.
FOR ALL OF DATA INTEGRITY.
IF YOU DON'T HAVE DIGITAL
PRESERVATION, IT'S REALLY HARD
TO GO BACK TO DEMOLITION PERMIT
-- IT'S HARD TO GO BACK TO SEE
IF THE DATA IS AUTHENTIC.
REALLY PERSONALITY FOR DATA
RESEARCHABILITY.
THE NEXT ONE, I THINK IN THE
FUTURE THAT WE NEED TO WORK ON
IS DATA CULTURE.
I WILL STATE RIGHT NOW, THE
BUSINESS COMMUNITY HAS A VERY
SPECIFIC DEFINITION OF DATA
CULTURE AS A CULTURE THAT IS
DATA-DRIVEN FOR THEIR DECISION
MAKING.
I DON'T DISAGREE WITH THAT.
BUT I WOULD LIKE TO EXPAND THAT
DEFINITION A LITTLE BIT FATHER.
IT'S NOT JUST ABOUT RELYING ON
DATA TO TELL US OR INFORM OUR
DECISIONS.
A LOT OF IT IS ABOUT DEVELOPING
BEHAVIORS AROUND DATA VALUING
DATA, USCC USING T.
UNDERSTANDING IT AND WRITE LARGE
BOTH OUR ORGANIZATIONS AND OTHER
ORGANIZATIONS.
THE EXAMPLE I USE WITH STUDENTS.
I SAY, IF I TELL UTILIZATION
NUMBER 72, WHAT DOES THAT 19?
WELL, IT DOESN'T MEAN ANYTHING.
IT DOESN'T HAVE A UNIT ON.
IT'S NOT TELLING ME 72 WHAT?
72 WHEN, 72 WHERE.
SO LIBRARIANS FUNDAMENTALLY, ADD
CONTEXT TO INFORMATION.
WE DON'T NECESSARILY, YOU KNOW,
INTERPRET IT FOR EVERYONE.
ALTHOUGH OFTEN WE DO.
BUT JUST HAVING THE APPROPRIATE
CONTEXT ATTACH TO THE DATA YOUA,
MAKES IT MUCH MORE
UNDERSTANDABLE.
SO META DATA.
SOMETHING SIMPLE AS HAVING ALL
THE APPROPRIATE FIELDS ATTACHED
TO THIS DATA TO MAKE IT
MEANINGFUL.
DATA MANAGEMENT AND SHARING.
WHO SHOULD GET ACCESS TO IT AND
WHEN.
THAT'S GOING TO BE IMPORTANT TO
DEVELOPING DATA CULTURE AND
LAST, BUT NOT LEAST, WE'VE BEEN
TEACHING INFORMATION LITERACY
FOR A LONG TIME.
HOW DO YOU TELL IF THIS IS GOOD
DATA?
SHOULD YOU TRUST THIS DATA FOR
THIS DECISION.
HOW IMPORTANT IS THE INFORMATION
YOU'RE LOOKING FOR.
ALL THAT HAVE APPLIES.
AND I REALLY THINK PARTICULARLY,
AS WE COME OUT-PANDEMIC, WE HAVE
SEEN ILLUSTRATED, HOW DIFFICULT
IT CAN BE, FOR SOME SEGMENTS OF
OUR SOCIETY OR CULTURE TO REALLY
UNDERSTAND WHAT'S PRESENTED TO
THEM.
AND AT ALL LEVELS.
IN MY OPINION, WE NEED MORE
EDUCATION, AROUND A DATA FLUENT
CULTURE.
AND THE THIRD ONE, IT ALMOST
KILLED ME TO NARROW IT DOWN TO
THREE.
THE THIRD ISSUE THAT IS AN
ENDURING CHALLENGE IS
DISCOVERABILITY.
IF WE CAN'T FIND DATA OR WE
DON'T KNOW WHERE IT EXISTS, WE
CANNOT HAVE DATA FLOW BETWEEN
THE SILOS.
IT CAN BE VERY EXPENSE AND DELAY
US A LOT.
SO DATA IS A WORLD WHERE THERE'S
NOT REALLY A GREAT INDEX OR A
GREAT CATALOG.
WE DON'T HAVE A WORLD CAT FOR
DATASETS YET.
SO LIBRARIANS PULL THIS ROLE OF
CONNECTING THESE SEPARATE DATA
COMMUNITIES, KNOWINGS WHERE YOU
MIGHT FIND THE DATA OR KNOWING
WHAT PEOPLE DON'T KNOW.
SO META DATA AGAIN, OF COURSE,
HELPS FOR INTERPRETABILITY OF
TECHNOLOGY, CONNECTING THESE
COMMUNITIES.
BUT AS WELL ON THIS ONE,
INFORMATION SEARCHING AND
RETRIEVE A. I THINK THAT WHEN
YOU LOOK FOR DATASETS, IT'S A
LITTLE BIT DIFFERENT THAN
LOOKING FOR ARTICLES BECAUSE WE
DON'T HAVE SUCH GREAT INDEXES
AND SORT OF SYSTEMS SET UP YET
SO I MADE MYSELF TALK ABOUT
THREE OF THE TOKYO IN THE FUTURE
I THOUGHT WERE IMPORTANT.
BUT THERE ARE ASPIRATIONAL
STONISHING NUMBERS.
I'M NOT GOING TO GET INTO EACH
AND EVERY ONE OF THOSE.
INSTEAD, I WANT TO TALK ABOUT
HOW DO WE START TO APPROACH
THESE BIG GRAND CHALLENGES IN
THIS SPACE?
AND ONE WANTER SOLUTION THAT I'M
FOND OF IS MULTI INSTITUTIONAL
COCOLLABORATION, OR REALLY,
COLLABORATION IN GENERAL.
IT DOESN'T HAVE TO BE MULTI
INSTITUTIONAL.
BUT THERE'S AN EFFORT ON THE
OTHER HAND GOING -- EFFORT AT
OCLC CURRENTLY ONANYTHING TO,
LOOK AT LIBRARY COLLABORATION AS
A CHOICE AND THERE'S A FIRST
REPORT ABOUT IT RIGHT NOW,
WRITTEN BY BRIAN LAVOY AND IT
TALKS ABOUT TRADEOFFS ABOUT WHY
YOU MIGHT COLLABORATE AND WHY
YOU WOULDN'T COLLABORATE I THINK
THIS IS LARGELY SPURRED BY
EITHER A REDUCTION OF RESOURCES
THAT LIBRARIES HAVE, OR FLAT
RESOURCES OR INCREASE IN
EXPECTATIONS AROUND LIBRARIES.
SO IT'S ESSENTIALLY, YOU KNOW,
HOW ARE WE EXPECTED TO PROVIDE
MORE SERVICES OR DIFFERENT
SERVICE WHEN IS THERE'S NOT
NECESSARILY AN ADDITIONAL -- AN
ADDITION OF RESOURCES AND IN
PARTICULARLY, IN ESOLVING AND
EMERGING SPACES, WE SEEMS DON'T
KNOW WHAT WE'RE GOING TO NEED.
SO HOW DO YOU EVEN PREDICT IN?
HOW DO YOU EVEN START TO
APPROACH THESE BIG PROBLEMS SEE
I DIDN'T JOIN THE OCLC LIBRARY
COLLABORATION EFFORT, UNTIL THEY
STARTED AT LOOK AT RESEARCH DATA
MANAGEMENT.
THEY ARE USING DATA RESEARCH
MANAGEMENT AS AN EXAMPLE TO LOOK
AT COLLABORATION AND TRADEOFF
BETWEEN INSTITUTIONS.
I'M THRILLED TO HAVE BEEN ABLE
TO JOIN THEM A COUPLE YEARS AGO
AND WE GOT TO INTERVIEW PEOPLE
AT THREE DIFFERENT
COLLABORATION.
THE DATA CURATION NETWORK, THE
TEXAS DATA REPOSITORY, AND
DIGITAL RESEARCH ALLIANCE OF
CANADA.
WE HAVE CHATTED WITH LOTS OF
INDIVIDUALS JUST TO FIND OUT
WHAT WAS WORKING, WHAT DIDN'T
WORK, WHAT'S REQUIRED TO HAVE A
SUCCESSFUL COLLABORATION AND
WE'RE STILL WRITING UP THESE
RESULTS.
IT'S A LOT OF INTERVIEW
TRANSCRIPTS.
SO THIS IS NOT IN THE MAIN
FINDING-PARTICULAR ENDEAVOR.
BUT I WANTED TO PRESENT IT HERE
BECAUSE IT'S SUCH A FANTASTIC --
AND HONESTLY, IT TIES REALLY
NICELY, AND WITH THIS IDEA OF
DATA COMMUNITIES ON THE SOCIAL
SIDE OF WORKING WITH DATA THAT
IS PRO FOUND, BUT KIND OF
SQUISHY.
HARD TO FIND AND HARD TO
ARTICULATE SO HIS BY DR. HERBERT
FROM DEMOCRAT DEMOCRAT.
HE SAYS, "LIBRARY CONSORTIUMS
LIKE THIS.
NEED TO CHAMPION THE SOCIAL SIDE
AS MUCH AS THEY CHAMPION THE IT
SIDE.
IT'S ON THE SOCIAL SIDE THAT
REALLY MAKES THE M PARTICULARS
DIGGAL LIBRARY WORK SO L. THE
TEXAS DIGITAL LIBRARY IS THE
PARENT OF THE TEXAS DATA
REPOSITORY:
"MY COLLEAGUES REALLY ENJOY
COLLABORATE GOING TTL.
THEY GET CREDIT.
THEY SEE IT AS PART OF THEIR
MAIN MISSION.
THEY ENJOY IT THOROUGHLY, AND
AFTER THE ACCIDENT THE GROUP HAS
REALLY MOVED THINGS FORWARD."
I LOVE THIS QUOTE BECAUSE IT
STARTED TO ENCAPSULATE WHAT I
HAVE HEARD ELSEWHERE AND
PERSONALLY EXPERIENCED.
WE HEARD IN OTHER INTERVIEWS,
PEOPLE SAY THEY LOVE THEIR JOBS,
AND THAT, I THINK IS KIND OF PRO
FOUND.
I WAS WATCHING A WEBINAR OF
DATA CURE 8S ONAR TALK WITH HOW
THEY CURATE DATA, AND THERE WAS
A QUESTION AT THE END, THAT HAS,
WHAT'S THE MOST INTERESTING
DATASET YOU'VE EVER WORKED WITH,
AND THE ANSWER WAS JUST
FANTASTIC, AND REFLECTED THIS
COMMITMENT TO ENJOYING THE WORK.
SHE SAID WELL, THE DATASET WAS
ABOUT RAPE AND SHE CARES DEEPLY
ABOUT PREVENTING RAPE SHE FELT
SHE COULD TRIBUTE TO PREVENTING
RAPE AND THAT'S WHAT I HAVE
EXPERIENCE AS WELL WITH.
WHEN YOU WORK WITH DATASETS THAT
ALIGN WITH YOUR PERSONAL VALUES,
IT COULD BE QUITE MEANING. TO
DO THE WORK AND THE PEOPLE DOG
DOING THIS WORK ARE QUITE
DEDICATED TO IT.
SO MULTI INSTITUTIONAL
COLLABORATIONS, I THINK ON A
FUNCTIONAL LEVEL ARE A REALLY
GOOD LEVEL TO ATTACK THESE
GREAT, BIG CHALLENGES, BUT I
WANTED TO POINT OUT THAT EVEN
WITHIN COLLABORATIONS, YOU GET
THESE COMMUNITIES OF THAT REALLY
RALLY AROUND THINGS THAT THEY
CARE ABOUT.
I FOUND OTHER FRIENDS OF THIS.
CHRISTINE BORGMAN AND HER BOOK.
SCHOLARSHIP IN THE NETWORK
WORLD.
SHE POINTED OUT BY EXAMINE
HAPPENING THE RULES THAT DATA
APPLY IN COLLABORATIONS, THE
BROWNARY, SCOPES, AGREEMENTS AND
DISAGREEMENTS OF COMMUNITIES
COME INTO VIEW.
SO I HAVEN'T QUITE SETTLED ON
EXACTLY WHAT THE MECHANISM IS.
BUT WHAT I DO KNOW FROM PERSONAL
EXPERIENCE AND EVIDENCE FROM
THESE OTHER THINGS IS THAT WHEN
YOU WORK WITH DATA, YOU'RE
GETTING GRANULAR ENOUGH AND
YOU'RE WORKING WITH GROUPS OF
PEOPLE THAT ARE VERY
INTENT-DRIVEN, THAT THEY ARE,
THEY ARE THESE FLUID COMMUNITIES
THAT COME TOGETHER AROUND A
PARTICULAR TOPIC AND YOU REALLY
START TO SEE PEOPLE'S
COMMITMENTS TO WHAT THEY ARE
DOING, RESEARCH WISE.
AND I HAVE PERSONALLY FOUND THAT
VERY REWARDING.
I THINK THERE ARE OTHER ASPECTS
OF MY JOB THAT ARE MUCH MORE
TRANSACTIONAL THAT ARE NOT
NEARLY AS REWARDING.
GRANTED, SOME OF THOSE OTHER AS
SPECTORS ARE NOT AS CHALLENGING
EITHER.
I HOPE THAT SOME OF YOU WHO MAY
HAVE BEEN A LITTLE INTRIGUED BY
DATA -- TAKE THIS IS TO THE
HEART AND STARTS LOOK ACT THINGS
YOU MIGHT REALLY ENJOY SO I'VE
GOT A FEW MINUTES LEFT HERE AND
I JUST WANTED TO POINT OUT A
COUPLE OF ROLES YOU CAN APPLY IF
YOU'RE INTERESTED.
HOW DO YOU FIND YOUR OPEN
COMMUNITY?
ESPECIALLY IF YOU ARE ONE OF
THOSE IDEAS, WHO ARE WORKING IN
AN INSTITUTION, WHERE MAYBE
THERE'S NOT OTHER DATA PEOPLE
AROUND OR DATA LIBRARIANS
AROUND.
FIRST, I HIGHLY RECOMMEND IF YOU
EVAPORATE DONE ANY WORK WITH
DATA DEMOCRATIZATION DATA BRIDGE
A MAYBE GETTING YOUR AT THE TIME
WET WITH SOME TRAINING, JUST TO
GIVE THE LANGUAGE AND COMFORT
LEVEL AND SOME BACKGROUND.
I KNOW THE NATIONAL LIBRARY OF
MEDICINE OFFERS TRAINING.
THE MEDICAL LIBRARY ASSOCIATION
HAS THE DATA SERVICES SPECIALTY.
THOSE ARE BOTH GREAT PLACES TO
LOOK FOR TRAINING OPPORTUNITIES.
ALSO, THERE'S AN SORPTION CALLED
THE RESEARCH DATA ACCESS AND
PRESERVATION ASSOCIATION.
THIS WAS THE FIRST PROFESSIONAL
ASSOCIATION THEY JOINED AS A
DATA LIBRARIAN, WHERE I REALLY
FOUND MY PEOPLE.
THETHEY HAVE LOVELY OPPORTUNITY
IT'S THEIR CONFERENCES, JUST TO
DO LITTLE LIGHTNING TALKS.
A LOT OF REALLY SMART PEOPLE
WILL GIVE YOU FEEDBACK AND HELP
YOU GET IDEAS THAT ARE REALISTIC
AND PRACTICAL AND REALLY HELP
MOVE YOU FORWARD AND LAST, BUT
NOT CERTAINLY LEAST, IF YOU'RE
INTERESTED IN THE TOKYOS AND
READING THE ARTICLINGS AND THE
CASE STUDIES THAT ARE DONE, A
LOT OF THEM ARE IN THE GENERAL
LIBRARY LITERATURE, BUT ALSO,
THE JOURNAL OF EAST SCIENCE
LIBRARIANSHIP.
I THINK, FOCUSES THE MOST ON
DATA LIBRARIANSHIP.
IF YOU'RE LOOK AT SOMETHING
REALITY MORE CLOSE TO HOME, I
THINK THERE ARE SOME STRATEGIES
CAN YOU USE TO NAVIGATE TO
PEOPLE IN YOUR OWN ORGANIZATION
OR INSTITUTION THAT MIGHT BE
DOING DATA, THAT MIGHT BE, IT
MIGHT TAKE A LITTLE MORE EFFORT
TO FIND.
SO I LOOSELY CATEGORIZE THESE
GROUPS AS THE RESEARCH
ADMINISTRATION GROUP, THE
LIBRARY GROUP, AND I.T. GROUP.
THE RESEARCH ADMINISTRATION, I
WILL SAY, THE NAMES OF THEIR
GROUPS CHANGE A LOT FROM
INSTITUTION TO INSTITUTION OR
EVEN WITHIN INSTITUTIONS.
BUT IN GENERAL, YOU'RE LOOKING
FOR PEOPLE THAT ARE, THEY ARE
EITHER WORKING WITH THE GRANTS
AND THE PRIVATE FUNDING THAT
REQUIRE THESE DATA POLICIES TO
BE MET.
THEY ARE USUALLY OPEN TO TALKING
ABOUT DATA AND RESEARCHERS AND
WHERE THERE ARE GAPS FOR
SERVICES OR THE COMPLIANCE GROUP
UAND THAT'S SPECIFICALLY BECAUSE
THERE IS, YOU KNOW, WITH
RESEARCH MISCONDUCT, A LOT OF IT
CAN BE TRACED BACK TO PROBLEMS
WITH DATA IN FACT, THERE'S A
BLOG ONLY, CALLED RETRACTION
WATCH THAT TALKS ABOUT AS LONG
ASKER THAT OF COURSE RETRACTED
AND WHY AND YOU WILL FIND A
THIRD OF THE POST HAVE TO DO
WITH DATA ISSUES.
THEY ARE KEENLY INTERESTED WITH
PEOPLE WHOLE RESEARCHERS OUT OF
HOT WATER BY HAVING DATA
PRACTICES.
AND THE INSTITUTIONAL REVIEW
BOARD ARE TYPICALLY AT
UNIVERSITIES AND COLLEGES.
THEY OVERSEE HUMAN SUBJECTS
RESEARCH.
SOMETIMES THEY CAN BE QUITE
LARGE.
SOMETIMES THEY HAVE MULTIPLE
ONCE BUT THE IMPORTANT PART HERE
IS YOU DON'T HAVE TO WORK AT A
UNIVERSITY, INFERRED TO SIT ON
THIS BOARD.
IN FACT, THEY SPECIFICALLY SET
ASIDE SLOTS FOR PEOPLE THAT HAVE
NO SCIENCE BACKGROUND FROM THE
COMMUNITY, BECAUSE THEY WANT
THIS TO BE A WELL-ROUNDED
EVALUATION OF HOW HUMAN SUBJECTS
ARE TREATED AND A LOT OF THAT
DOES HAVE TO DO WITH HOW THEIR
DATA IS TREATED SO IF YOU HAVE
THE OPPORTUNITY TO BECOME
INVOLVED WITH THAT.
I THINK IT'S FASCINATING WORK.
IT CAN BE QUITE INTENSE.
BUT ABSOLUTELY FASCINATING WORK
TO SEE WHAT'S GOING ON AND TO
HAVE THAT HAVE VOICE AT THE
TABLE ABOUT DATA ETHICS OR
INCLUDING UNDER REPRESENTED
COMMUNITY VOICES, THAT SORT OF
THING.
OF COURSE WITHIN THE LIBRARY, IF
YOU DO HAVE A LARGER LIBRARY.
YOU MIGHT HAVE SOMEONE RUNNING
THE DMP TOOL, WHICH ARE
TEMPLATES TO MEET THOSE FUNDER
REQUIREMENTINGS AROUND DATA.
SOMEONE TEACHING DATA LITERACY
OR RUNNING A DATA REPOSITORY.
THOSE ARE PEOPLE TO APPROACH TO
SAY, HEY, I'M INTERESTED FROM
DATA COMMUNITIES.
WHAT'S GOING ON HERE AND WHERE I
MIGHT BE ABLE TO LEADERSHIP
MORE.
LAST BUT CERTAINLY NOT LEAST IS
THE IT GROUPS.
THEY ARE ON THE FRONT LINE OF
DATA AT LARGE.
THEY ARE ALSO ON THE FRONT LINE
OF RESEARCH DATA, EVEN IF THEY
DON'T ALWAYS KNOW IT I WILL SAY,
WHEN I SUPERFICIALLY APPROACHED
IT GROUPS ABOUT DATA MANAGEMENT,
THE REACTION CAN SOMETIMES BE L
WHY ARE YOU HERE.
WE DO DATA MANAGEMENT.
WE HAVE CLASSES ON DATA
MANAGEMENT.
WE DON'T YET LIBRARY IS
APPROACHING US ABOUT IT.
SO I CLERC ANEW AND I SAY OH.
YOU ON GUYS DO THE TECHNICAL
SIDE.
THE INFRASTRUCTURE SIDE OF DATA
MANAGEMENT.
I FOCUS ON THE PEOPLE.
I DO THE DATA COMMUNITY SIDE.
I DO THE HUMAN SIDE. AND AT
THAT POINT IN DO I DO I USUALLY
GET REWARDED BY GREAT BIG SMILES
BECAUSE THEY ARE ALWAYS RAIL
HAPPY FOR ANYONE TO HELP WITH
THE DATA HUMAN SIDE OF DATA
MANAGEMENT.
THOSE ARE A FEW IDEAS ABOUT HOW
TO GET INVOLVED IN DATA I HOPE
SOMETHING IN THIS TALK HAS
SPURRED SOME CURIOSITY.
I SEE SOME ANSWERS COMING IN.
AND HOMELY, WE HAVE SOME
QUESTIONS COMING IN.
I DID WANT TO LEAVE YOU WITH A
COUPLE OF THOUGHTS AND THEN
WE'LL GO TO TAKING QUESTIONS.
FIRST, PLEASE DON'T TRY AND GO
IT ALONE.
I THINK I TRIED THAT FOR YEARS
AND IT'S TERRIBLY ISOLATING FORM
YOUR OWN LITTLE COMMUNITY.
PERFECT IS THE ENEMY OF THE GOOD
AND THIS IS SOMETHING I TALKED
TO RESEARCHERS A LOT B. THEY
WANT TO HAVE IT BE ONE AND DONE
AND THAT IS NOT POSSIBLE GIVING
OUR TECHNOLOGICAL CONSTRAINTS.
THIS IS AN EMERGING FIELD, WE
EVEN KNOW ALL THE QUESTIONS YET,
LET ALONE, VAULT ANSWERS RIGHT.
SO JUST GETTING SOMEONE TO THE
NEXT STEP BETTER PRACTICE IS MY
GOAL AND I ARTICULATE THAT.
I SAY LOOK, IN THIS WORKSHOP,
WE'RE JUST GOING TO FIGURE OUT
WHAT YOUR NEXT STEP IS TO GET A
LITTLE BIT BETTER.
IF WE KEEP DOING THAT, WE WILL
IMPROVE INCREMENTALLY AGAIN,
ALIPMENT WITH YOUR PERSONAL
INTERESTS, IF POSSIBLE, I THINK
THAT HAS BEEN VERY REWARDING FOR
A NUMBER OF US AND WILL CONTINUE
TO BE RIGHT. SO IF YOU CAN, SEEK
ORGANIZATIONAL SUPPORT.
AND I KNOW THIS LAST ONE IS
REALLY DIFFICULT, GIVEN THE
VARIOUS BUDGETS AND
CIRCUMSTANCES.
BUT IF YOU CAN GET
ORGANIZATIONSAL SUPPORT IN
MOVING INTO THIS SPACE.
I THINK IT MAKES IT MUCH EASIER,
FUNDING TO ATTEND WORKSHOPS OR
TO TAKE TRAINING IS IMPORTANT.
SO THOSE ARE MY FINAL THOUGHT IT
IS.
I'M HAPPY TO TAKE ANY QUESTIONS
YOU 95 AT THIS TIME.
I'M GOING TO BE THRILLD TO LOOK
AT THIS AND SEE WHAT PEOPLE HAVE
WRITTEN.
>>THANK YOU SO MUCH, AMANDA.
AND THAT WAS VERY INTERESTING.
FOR THOSE OF YOU THAT DON'T
KNOW.
DATA IS NEAR AND DEAR TO MY
HEART.
I'M THE ASSOCIATE DIRECTOR FOR
LIBRARY OPERATIONINGS AT THE
NATIONAL LIBRARY OF MEDICINE AND
I'M GOING TO, HAVE A
CONVERSATION WITH AMANDA NOW,
WITH SOME OF THE QUESTIONS THAT
HAVE COME UP.
SO FROM YOUR SPECIES,
TRANSITIONING FROM A RESEARCHER
TO A DATA SCIENCE LIBRARIAN,
WHAT ARE SOME OF OUR THE
STRATEGIES THAT YOU WOULD
SUGGEST?
I KNOW THAT YOU PUT UP SOME
COMMUNITIES AND SOME TRAINING
OPPORTUNITIES.
WHAT ARE SOME OTHER STRATEGIES
OR JUST 101 ADVICE THAT YOU
WOULD PROVIDE TO OTHER
LIBRARIANS THAT WANTED TO GET
INVOLVED WITH RESEARCHERS IN
DATA COMMUNITIES?
SO THINKING BACK TO WHEN I WAS A
RESEARCHER, IN 2011, WHEN I WAS
A BRAND-NEW LIBRARIAN AND COMING
INTO DATA LIBRARIANSHIP, IF YOU
WOULD HAVE ASKED ME WHAT
STRENGTH I WAS BRING INTERESTING
THAT SPACE, I WOULD HAVE SAID MY
TECHNICAL SKILLS.
MY STATISTIC SKILLS.
I HAVE A REALLY STRONG
BACKGROUND IN STATISTICS AND I
LOVE T. AND I WOULD HAVE SAID
OH.
I HAVE TECHNICAL SKILLS THEY CAN
BRING TO HELP RESEARCHERS.
2022 ME WOULD DISAGREE ENTIRELY.
SO OVER THE YEARS DOING THIS,
IT'S NOT A TECHNICAL SKILL THAT
IS I BRING TO THE TABLE.
THOSE CAN BE HIRED OR FIRMED OUT
OR THEY HAVE FRAMEWORKS IN WHICH
THEY CAN TACKLE THAT.
IT'S REALLY THE REFERENCE
INTERVIEW, AND I KNOW THIS, I
SAID THIS BEFORE AND PEOPLE ARE
LIKE, OH, NO.
>>NO.
NO.
THE REFERENCE INTERVIEW IS KEY
TO THIS AND HERE IS WHY.
IF YOU ASK A RESEARCHER ABOUT
THEIR DATA, IT CAN BE A LITTLE
BIT CONFUSING BECAUSE OF ALL
THESE DEFINITIONS.
WHAT EXACTLY DATA IS.
IF YOU ASK THEM ABOUT THEIR
RESEARCH, THEY WILL IMMEDIATELY
START TALK BIRTHDAY DATA AND THE
CONTEXT AROUND IT SO I START
EVERY CONVERSATION WITH A NEW
RESEARCHER ABOUT TELL ME ABOUT
YOUR RESEARCH?
AND THEN MY JOB, DOING THE
REFERENCE INTERVIEW WAS TO PULL
OUT FROM WHAT THEY WERE SAYING,
WHAT IS DATA WHAT IS DATA
MANAGEMENT AND WHAT THEIR
CHALLENGES ARE AROUND THAT, AND
WHAT RESOURCES WE HAVE TO THOSE
CHALLENGES.
SO IT SOUND OVERLY SIMPLISTIC, I
THINK, BUT IT'S ACTUALLY AN ART
FORM.
IT'S REALLY DIFFICULT TO DO
WELL.
AND I WOULD STRONGLY RECOMMEND
TO TAKE THE -- MOST BRANDS HAVE
REALLY STRONG RESEARCH REFERENCE
IN OUR INTERVIEW SKILLS AND
START THERE. START WITH YOUR
STRENGTHS.
TALKING TO THEM ABOUT IT AND
THEN YOU KIND OF START TO SEE
OPPORTUNITIES AS YOU GO.
AND A NUMBER OF YOUR
INTERACTIONS MIGHT BE
TRANSACTIONAL.
LIKE, I NEED A DATA
DEMOCRATIZATION REPOSITORY.
OKAY.
WE'LL LOOK THEM UP.
WE'LL GET YOU A DATA REPOSITORY.
BUT IF YOU HAVE THAT
CONVERSATION IN SUCH A WAY, THAT
IT LEADS OPENEDDED QUESTIONS.
YOU'LL START TO SEE OTHER AREAS.
FOR ME, RECENTLY, I'VE
RELIGHTED, I DON'T CONNECT UP MY
DATA COMMUNITIES ENOUGH.
I GOT TO SEE SORT OF A
REAL-LIFE, TWO DIFFERENT DATA
RESEARCH GROUPS, START TO
PREPARE INFORMATION.
NEVER WOULD HAVE THOUGHT OF
CONNECTING THEM TOGETHER.
THIS WAS PART OF THAT NSF
DECORATION AND S & A DATA
LEVERAGING COMMUNITIES.
IF I JUST PUT THESE RESEARCH
GROUPS TOGETHER, VIRTUALLY, THEY
START TO REALLY SELF-ORGANIZE
AND SELF-RESOLVE, ISSUES THAT I
WAS STRUGGLING TO FIND RESOURCES
FOR SO THAT'S SOMETHING I'M
GOING TO CARRY FORWARD TO START
DOING AS WELL.
A LITTLE BIT MORE OF.
SO DID THAT ANSWER THE QUESTION?
>>SO YOU TALKED ABOUT DOING AN
INTAKE INTERVIEW AND IS THERE A
GROUP OR ORGANIZATION THAT YOU
TURN TO, KIND OF LIKE A PHONE A
FRIEND.
LIKE, MAYBE THAT RESEARCH IS
JUST NOT IN YOUR WHEEL HOUSE AND
YOU'RE LIKE, I DON'T EVEN KNOW
WHAT THAT WORK MEANT.
SO HOW DO YOU GET UP TO SPEED?
I MEAN, INWHERE MY NICHE IS.
SO DO YOU HAVE THAT BUILT INTO
YOUR OWN ORGANIZATIONS?
OR DO YOU KNOW HOW TO REACH
OUTERS FOR THAT?
>>AMANDA RINEHART: SO I THINK
THAT VARIES, DEPENDING ON WHAT
RESOURCES YOU HAVE.
BUT I WILL SAY, BEING REALLY UP
FRONT WITH RESEARCHERS WORKS
REALLY, REALLY L. THE NATURE OF
RESEARCH IS THAT IT HAS NEVER
BEEN DONE BEFORE.
SO IT'S ALL EXPERIMENTAL.
IF YOU FRAME WHAT YOU'RE DOING,
FROM THAT SAME WAY, SO WHEN
THINGS COME UP AND YOU DON'T
KNOW WHAT THEY ARE TALKING ABOUT
-- WHICH HAPPENS ALL THE TIME --
SUDDENLY, THEY ARE TALKING ABOUT
SOFTWARE OR DATA TYPE OR EVEN
JUST A GOAL AND YOU'RE LIKE, WHY
WOULD YOU EVER DO THAT WITH
DATA?
WHY WOULD YOU WANT IT BEHIND A
PAVED WALL IN A THIRD WORLD
COUNTRY OR WHATEVER IT IS THAT'S
GOING ON, BE POLITE.
BUT BE REALLY HONEST ABOUT T. "I
HAVE NEVER RUN INTO THAT BEFORE
BUT YOU KNOW WHAT, I WOULD LOVE
TO LOOK INTO THAT.
I'M REQUESTING TO GET BACK WITH
YOU.
IF YOU CAN TELL ME MORE,LET WORK
ON THIS TOGETHER." THAT'S HOW
YOU BECOME PART OF A DATA
COMMUNITY.
YOU APPROACH IT IN THE SAME WAY
THAT THEY ARE AND THEN YOU GO
OFF AND I PERSONALLY, AM PART OF
ARDAP HAS A LIST SERVE THAT
PEOPLE FREQUENTLY POST TO. THE
DATA CURATION NETWORK HAS A
NUMBER OF DATA CURATION PRIMERS.
IF IT'S, HOW DO I CURATE THIS
PARTICULAR TYPE OF DATA, CAN YOU
LOOK THAT UP.
AND PEOPLE ARE VERY FRIENDLY, SO
THEY ARE VERY HAPPY TO TALK
ABOUT THESE KINDS OF CHALLENGES.
IT KIND OF DEPENDS ON WHAT THE
QUESTION S. I WILL REACH OUT TO
ANEW IT PEOPLE A LOT.
A LOT OF THE ISSUES ARE IT
RELATED.
SO, YOU KNOW, I'M TRYING TO PUT
A DATA OR I WANT TO SHARE WITH A
RESEARCHER, BUT NOT EVERY
RESEARCHER AND I WANT IT TO HAVE
THESE LEGAL, YOU KNOW,
BOUNDARIES ON IT IS ONE WHERE I
WILL REACH OUT TO OUR COPATRIOT
LIBRARIAN.
WHO IS FANTASTIC AND WILL SAY,
YOU CAN'T COPYRIGHT THAT.
SOMETIMES WE END UP IN A TECH --
I THINK IT'S IMPORTANT TO BE UP
FRONT WITH A RESEARCHER ABOUT
WHAT YOU KNOW AND WHAT YOU DON'T
KNOW, AND JUST BE WILLING TO GO
FIND OUT.
THAT IS BEING PART OF THEIR
COMMUNITY.
THAT'S HOW YOU START TO BECOME
INCLUDED IN THEIR RESEARCH
GROUP, WHETHER IT'S KIND OF MORE
ACCREDITED OR AD HOC INCLUSION.
I WILL SAY THAT IF YOU ARE
HELPFUL, AND IMSOMEWHATS YOU
CAN'T BE.
BUT IF YOU ARE HELPFUL, THAT
WORD OF MOUTH SPREADS REALLY
FAST. AND SUDDENLY, EVERYBODY
WANTS TO TALK TO YOU, WHICH IS
NICE.
BUT SOMETIMES OVERWHELMING.
>>IT IS.
SO I WANTED TO JUST THROW A
COMMENT OUT FROM THE PAMPHLET
AND IT SAYS "THANK YOU SO MUCH,
AMANDA.
REALLY A GREAT LECTURE." AND SHE
SAID OR HE.
I'M NOT SURE WHO, IT WAS
ANONYMOUS.
SORRY.
"DATA LIBRARIANSHIP IS
SOMETHING NEW TO US IN AFRICA,
BUT YOUR LECTURE HAS ILLICITTED
A LOT OF INTEREST IN ME." SO
YOU'VE HAD A GLOBAL IMPACT TODAY
AND SO LET ME ASK YOU ANOTHER
KIND OF A QUESTION, YOU KNOW, A
LOT OF THE THINGS WE POINTED TO
TODAY WERE, YOU KNOW, MORE ON
THE NORTH AMERICAN SIDE.
ANYTHING WITH A GLOBAL
PERSPECTIVE THAT YOU CAN SHARE
FOR THIS PERSON THAT THEY MIGHT
FIND BENEFICIAL?
>>AMANDA RINEHART: SO THIS
CAME UP, ACTUALLY, I WAS AT A
CONFERENCE.
I APOLOGIZE A I CAN'T REMEMBER
WHICH CONFERENCE A COUPLE YEARS
AGO, ABOUT HOW NORTH AMERICAN
CENTRIC, A LOT OF INFORMATION IS
ON THIS TOP AND I CAN HOW
PROBLEMATIC THAT IS AND WE HAD A
NUMBER OF PEOPLE YOU KNOW, TRY
AND COME UP WITH SOLUTIONS.
I'M NOT SURE WE HAD ANY GREAT
SOLUTIONS THERE ON THE SPOT.
BUT ESSENTIALLY, YOU KNOW, A LOT
OF DATA MANAGEMENT AND DATA
SHARING HAS BEEN DRIVEN BY
FEDERAL POLICY AND FEDERAL
POLICY, YOU KNOW, OUR POLICY IS
ONLY APPLICABLE TO US.
SO I WOULD BE FASCINATED TO KNOW
IF ANY OF THE SOCIAL SIDE OF
WHATEVER I WAS TALKING ABOUT,
YOU KNOW, DATA COMMUNITIES,
BECOMING PART OF THE COMMUNITY.
DO OTHER CULTURES DO OTHER
COMMUNITY -- DO OTHER CULTURES,
DO OTHER COMMUNITIES FORM LIKE
WE DO?
IS RESEARCH DONE THE SAME WAY,
ESSENTIALLY?
I HONESTLY DON'T KNOW AND I'M
PART OF A NUMBER OF
INTERNATIONAL RESEARCH PROJECTS.
SO I FEEL LIKE I OUGHT TO KNOW
BUT I WOULD LOVE TO SEE THAT
WORK DONE AND HEAR BACK.
ANECDOTALLY, IF ANYONE'S WORKING
WITH DATA COMMUNITIES IN OTHER
COUNTRIES OR OTHER KINDS OF
RESEARCH, DO YOU THINK THAT ANY
OF THESE DEFINITIONS THAT WERE
PRESENTED TODAY, RESONATE?
BECAUSE I DO THINK THAT IN
PARTICULAR, WHEN YOU DON'T HAVE
THE SAME REQUIREMENTS, HERE IN
THE U.S., THE FUNDING PRESSURE
IS SO HIGH, THAT THERE CAN BE A
LOT OF STRESS AROUND THESE
POLICIES, AND THAT'S A ROLE YOU
CAN ACCOMPLISH CAN YOU STEP IN
ANDREWS THAT STRESS.
BUT IF YOU'RE IN A COUNTRY THAT
DOESN'T HAVE THAT CIRCUMSTANCE,
WHY WOULDN'T THEY SHARE OPENLY?
I WOULD LIKE TO THINK THERE
WOULD BE OTHER MOTIVATIONS ABOUT
ADVANCING SCIENCE AND BENEFITING
BUT I DON'T KNOW.
SO I DON'T THINK WE HAVE ANY
PARTICULAR INSIGHT INTO AN
INTERNATIONAL CONTEXT AROUND
SCIENCE AND DATA SHARING, EXEMPT
TO SAY, I HOPE TARGET COUNTRIES
DON'T HAVE TO GO THROUGHOUT SAME
SORT OF GROWTH PAINS THAT WE
HAVE, AND DON'T HAVE THE SAME
BARRIERS UP, AS WELL, I HOPE
THAT OUR TECHNOLOGICAL
RESOURCES, SPECIFICALLY, OUR
DATA REPOSITORIES, WOULD BE OPEN
TO EVERYONE.
LET'S CARRY THAT OPEN TO THE
DEGREE THAT IT'S NOT JUST US
OPENING TO OURSELVES.
AND HONESTLY, I'LL USE COVID-19
AGAIN AS FOR THE REASON ON THIS.
A LOT OF THE PROBLEMS WE'RE
WORKING ON, SOCIETAL DISEASE,
OTHERWISE, PROBLEMS ARE
UNIVERSAL.
THEY ARE NOT LIMITED JUST TO US.
SO WHY SHOULD, WHY WOULD WE
BROCK BLOC THAT DATA UP.
WE WOULD WANT EVERYONE TO BE
ABLE TO WORK ON IT.
AND HOPEFULLY, WE'LL BE ABLE TO
FACILITATE OTHER PEOPLE'S DATA
SHARING AS WELL.
SO WE COULD LEARN.
>>I THINK THIS IS THE LAST
QUESTION FOR YOU, BEFORE WE RUN
OUT OF TIME.
SO YOU JUST PEAKED MY INTEREST
WITH THAT, WITH I HOPE THEY
DON'T HAVE TO LEARN AND ALSO
BRINGING UP THE GLOBAL PANDEMIC
AND DATA COMING OUT OF THAT.
SO WHAT IS, AS A DATA SCIENCE
LIBRARIAN, HOW DO YOU HELP
FACILITATE THE USE OF STANDARDS
AND RIGHT FROM THE BEGINNING
DATA LIFE CYCLE?
>>AMANDA RINEHART: SO MUCH
LIKE ANY INFORMATION SEEKING, IF
YOU COME TO THE LIBRARIAN EARLY,
IT'S BETTER.
I WILL SAY A FAIR AMOUNT OF MY
DATA WRAPPEDSHIP HAS BEEN WHAT
WE CALL DATA SALVAGE.
IT'S SORT OF AT THE LAST MINUTE.
I NEED TO MEET THIS REQUEST FOR
INFORMATION AND WE HAVE 8 DAYS
TO RESPOND TO THIS DATA NEED OR
THAT KIND OF THING. AND THAT'S
GREAT.
THAT'S A ROLE THAT'S VERY
VALUABLE.
BUT IT DOESN'T ALLOW FOR A LOT
OF REALLY THOROUGH,
WELL-DESIGNED DATA MANAGEMENT
AND SHARING.
SO THAT'S WHERE STANDARDS COME
IN.
IF YOU CAN GET THERE A AHEAD OF
TIME, YOU CAN MAKE SURE THAT'S A
DATA SCHEMA THAT'S APPROPRIATE
FOR THAT DATASET AND IS
REALISTIC.
I'LL BE HONEST.
A LOT OF PEOPLE DON'T FILL OUT
ENTIRE SCHEMAS.
AND IN FACT, I'VE WORKED WITH A
COUPLE OF RESEARCH COMMUNITIES
WHERE THEY SAID LOOK.
WE COORDINATE THIS DATA AROUND
OUR PARTICULAR PROJECT.
I'LL USE THE EXAMPLE, THERE WAS
A DAMN THAT WAS REMOVED ON A
RIVER, AND SO THERE WAS DATA
COMING IN FROM STATE AGENCIES,
FROM HOMEOWNERS COMMUNITIES,
FROM OF COURSE, ACADEMIC
RESEARCHERS, FROM AT LEAST FIVE
DIFFERENT INSTITUTIONS.
ALL SORT OF IN DIFFERENT AREAS.
THEY HAD A DATA MANAGER, WHICH
WAS FANTASTIC.
BUT THE COMPLAINT WAS, HE
COULDN'T GET THE RESEARCHER AND
IT IS VARIOUS I WANTIES ACTUALLY
FILLED OUT AND THAT'S WHEN YOU
START TALKING ABOUT, YOU KNOW,
DATA USE AGREEMENTS.
OR STANDARD OPERATING PROCEDURES
OR EVEN USING THE TECHNOLOGY TO
SAY, YOU HAVE TO FILL OUT THE
SEAL BEFORE YOU CAN DO THAT.
AND THAT'S REALLY VERY
OPERATIONAL.
BUT I THINK THAT'S, YOU SEE A
LOT OF THAT CONVERSATION ABOUT
HUMAN BEHAVIOR AROUND DATA.
AND I THINK THAT'S AN INDICATION
THAT WE DON'T HAVE THE DATA
CULTURE WHERE PEOPLE
AUTOMATICALLY HAPPENED WHY IT'S
IMPORTANT, TO SAY, PUT A UNIT ON
A MEASUREMENT.
SO IF YOU CAN GET THAT EARLY AND
BUILT IN, HAVE YOU SO MUCH
EASIER ON THE OTHER END WHEN
YOU'RE SHARING, AND VASTLY ABLE
TO REUSE THE DATA AS WELL.
YOU SEE, THERE ARE ENTIRE
COMMUNITIES AND DATA
LIBRARIANSHIP THAT TALK ABOUT
THAT AND THAT'S A GREAT PLACE
FOR ANY CATEGORY.
>>MODERATOR: AMAND A I WANT TO
THANK YOU AGAIN.
WE'RE ACTUALLY A MINUTE OVER.
SO THANK YOU SO MUCH.
THIS WAS A GREAT LECT AND YOU
WERE I HOPE IT'S INSPIRED SOME
OF OUR VIEWERS TO GET INVOLVED
WITH SOME OF OUR DATA
COMMUNITIES TODAY.
THANK YOU, AND WE'LL BE LOOKING
AT THE QUESTIONS AND GOING
THROUGH SOME OF THE THINGS THAT
CAME UP.
HAVE A GREAT DAY, EVERYONE AND
THANK YOU FOR COMING AND JOINING
US TODAY.
>>BYE.