2016 bd2k investments in training report

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January 2016 BD2K Investments in Training Executive Summary Training is a major limiting factor to extracting knowledge from data, and therefore it is a significant part of the Big Data to Knowledge (BD2K) Initiative. The primary goals of BD2K in training are to increase the number of biomedical data scientists and to improve the data science skills of all biomedical scientists. Because training needs vary greatly based on an individual’s prior background and intended use for data science, the BD2K investments in training are also varied. For those individuals who are primarily biomedical scientists and do not intend to become specialists in data science, BD2K supports courses and educational resources that are meant to enable participants to become conversant in data science and attain skills to utilize data science methods. To support those individuals who wish to become specialists in biomedical data science, BD2K includes training programs for predoctoral students, research rotations for early career scientists, and career development awards for postdocs and more senior researchers. To foster the development of new teams consisting of biomedical scientists and data scientists, BD2K is supporting the QuBBD (Quantitative Approaches to Biomedical Big Data) Program along with the National Science Foundation. Among the first BD2K awards issued (in September 2014) were training awards, and they are starting to bear fruit. For example, the first BD2K Open Educational Resources, in the form of Massive Open Online Courses, have been released and already boast thousands of graduates; three summer courses were offered and filled beyond capacity; and individuals supported by career development awards have transitioned to more secure positions. Although the existing awards made in FY14- 16 are promising, additional investments are needed to keep up with the fast- changing area of data science. In order for BD2K-supported resources to have maximal impact, they need to be findable, accessible, interoperable, and reusable (FAIR). To help biomedical scientists find and access the most appropriate data science educational resources, the BD2K Training Coordination Center (TCC) is developing an Educational Resource Discovery Index, working with international partners. Through the TCC and the other training awards, BD2K aims to improve the ability of the entire biomedical science community, whether specialists in biomedical science or data science, to utilize the growing volume and complexity of data.

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Page 1: 2016 BD2K Investments in Training Report

January2016

BD2KInvestmentsinTraining

ExecutiveSummaryTrainingisamajorlimitingfactortoextractingknowledgefromdata,andthereforeitisasignificantpartoftheBigDatatoKnowledge(BD2K)Initiative.TheprimarygoalsofBD2Kintrainingaretoincreasethenumberofbiomedicaldatascientistsandtoimprovethedatascienceskillsofallbiomedicalscientists.Becausetrainingneedsvarygreatlybasedonanindividual’spriorbackgroundandintendedusefordatascience,theBD2Kinvestmentsintrainingarealsovaried.Forthoseindividualswhoareprimarilybiomedicalscientistsanddonotintendtobecomespecialistsindatascience,BD2Ksupportscoursesandeducationalresourcesthataremeanttoenableparticipantstobecomeconversantindatascienceandattainskillstoutilizedatasciencemethods.Tosupportthoseindividualswhowishtobecomespecialistsinbiomedicaldatascience,BD2Kincludestrainingprogramsforpredoctoralstudents,researchrotationsforearlycareerscientists,andcareerdevelopmentawardsforpostdocsandmoreseniorresearchers.Tofosterthedevelopmentofnewteamsconsistingofbiomedicalscientistsanddatascientists,BD2KissupportingtheQuBBD(QuantitativeApproachestoBiomedicalBigData)ProgramalongwiththeNationalScienceFoundation.AmongthefirstBD2Kawardsissued(inSeptember2014)weretrainingawards,andtheyarestartingtobearfruit.Forexample,thefirstBD2KOpenEducationalResources,intheformofMassiveOpenOnlineCourses,havebeenreleasedandalreadyboastthousandsofgraduates;threesummercourseswereofferedandfilledbeyondcapacity;andindividualssupportedbycareerdevelopmentawardshavetransitionedtomoresecurepositions.AlthoughtheexistingawardsmadeinFY14-16arepromising,additionalinvestmentsareneededtokeepupwiththefast-changingareaofdatascience.InorderforBD2K-supportedresourcestohavemaximalimpact,theyneedtobefindable,accessible,interoperable,andreusable(FAIR).Tohelpbiomedicalscientistsfindandaccessthemostappropriatedatascienceeducationalresources,theBD2KTrainingCoordinationCenter(TCC)isdevelopinganEducationalResourceDiscoveryIndex,workingwithinternationalpartners.ThroughtheTCCandtheothertrainingawards,BD2Kaimstoimprovetheabilityoftheentirebiomedicalsciencecommunity,whetherspecialistsinbiomedicalscienceordatascience,toutilizethegrowingvolumeandcomplexityofdata.

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OverallGoalsFocusingontrainingwasoneofthemainrecommendationsfromtheJune2012DataandInformaticsWorkingGroupReport.ItisalsooneofthemajorthrustareasoftheBD2KprogramandtheADDSoffice.Trainingcurrentlyaccountsfor15%oftheBD2Kbudgetandisexpectedtoramptoabout20%.Theterm“Training”ismeanttoencompasstraining,education,andworkforcedevelopmentthatprovideslearners,nomatterwhatcareerlevel,eitherfoundationalknowledgeorskillsforimmediateuse.Therearetwomaingoalsfortraining,toimprovebigdataskillsinallbiomedicalscientistsandtoincreasethenumberofpeoplewhospecializeinbiomedicaldatascience.Thesetwogoalsincludesub-goalsaswell:

1) Toimprovebigdataskillsofallbiomedicalscientistsa. Supporttrainingopportunities,bothin-personandonlineb. Ensuretrainingopportunitiesandresourcesaremorereadily

discoveredandaccessedc. Enhancediversityinthebiomedicalandbiomedicaldatascience

workforces2) Toincreasethenumberofbiomedicaldatascientists

a. Establishbiomedicaldatascienceasacareerpathb. Fostercollaborationsbetweenbiomedicalscientistsanddata

scientists

Toaccomplishthesegoals,thetrainingportfolioisdiverse.AlthoughtenFOAswereissuedinFY14andFY15,theyclusterintofivegroups:

• R25awardsforcoursesandresourcesaboutdatamanagementanddatascience(4FOAswereissuedtoallowfordifferentbudgetarycategoriesandstructures)

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• R25awardstoenhancediversity(denoteddR25todistinguishitfromtheotherR25s)

• T32/T15trainingprograms(3FOAStosupportbothnewprogramsandsupplementstoexistingT32sandT15s)

• K01CareerDevelopmentaward• U24TrainingCoordinationCenter(TCC)

Atotalof67awardswereissuedbyBD2KinthesefiveFOAclusters.Inaddition,eachoftheBD2KCentersofExcellencehastrainingcomponents.BecausetheCenters’trainingisdiverseandmainlyfocusedontrainingaboutspecifictoolsdevelopedbytheCenters,theyarenotincludedinthisreport.Collectively,thefiveBD2KtrainingFOAclustersreachanaudienceofvaryingexperiencelevelsandintentions,fromundergraduatestoseniorfacultyandinstructorswhowillbeteachingdatascience.Someoftheawardsaretargetedatparticularcareerlevels.Forexample,thedR25awardsareforundergraduates,theT32/T15programsareforpredoctoraltrainees,andtheK01awardsareforpostdocsandbeyond.Otherawards,suchastheU24TCCandtheR25sareforabroaderrangeofexperiencelevels.

Eachclusteraddressesoneormoregoals.

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BecauseBD2Kisatrans-NIHprogram,withfundscomingfromallICsandtheCommonFund,ICinputhasbeenactivelysolicited.TheFOAsweredevelopedbyatrans-NIHgroupofprogramdirectors,firstcalledthe“BD2KTrainingSubcommittee”andlaterreferredtoasthe“BD2KTrainingProgramManagementGroup”.Thisgrouphaswelcomedall-comers,fromallICsandtheNIH/OD,withefforttorecruitmembersthroughtwopresentationstotheTAC(TrainingAdvisoryCommittee).Allprogrammaticaspects,includingFOAdevelopment,reviewattendance,payplandevelopment,anddecisionsaboutawardmanagement,havebeendonethroughthetrans-NIHgroupthatincludes13ICs,theCommonFund,andtheOfficeofBehavioralandSocialScienceResearch.Day-to-daymanagementoftheawardsisdistributedacross6ICsinanefforttobalanceincludingasmanyICsaspossibleandensuringthatgranteesaretreateduniformly.

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Goal1:ToImproveBigDataSkillsofBiomedicalScientistsToimprovethebigdataskillsofallbiomedicalscientists,trainingopportunitiesneedtobeavailable,andbiomedicalscientistsneedtofindandaccesstheonesthatbestfittheirneeds.Tothisend,BD2Ksupportsthedevelopmentoftrainingopportunitiesandtheirdisseminationtolargenumbersoflearners,aswellasinfrastructurefordiscoveringthem.Tohelpbiomedicalscientistsfind,access,andchoosetrainingopportunities,theTrainingCoordinationCenteriscreatinganEducationalResourceDiscoveryIndex(ERuDIte).ERuDIteisplannedtobeadiscoveryindexthatorganizespointerstoeducationalcontent,utilizingmetadatadescribingtheeducationalresource.UtilizingandextendingcommonmetadataisbeingpursuedthroughaninternationalcollaborationbetweentheTCCandELIXIR,aEuropean-basedfederationoforganizationsthatbuildinfrastructureforthelifesciences.ERuDIte,whencombinedwithaknowledgemapthatshowshowBigDataskillsrelatetooneanother,mayformthebasisofapersonalizedlearningsystemforbiomedicalscientiststoefficientlyacquirenewskillstotackleBigData.CreationofthecontentthatERuDIteorganizesissupportedbyBD2KprimarilythroughR25sforopeneducationalresources(OER)andshortcoursesusingFOAsHG14-008,HG14-009,LM15-001,andLM15-002.Educationalcontentmayalsocomefromothersources,includingnon-BD2Kones.SomeoftheBD2KCenters,whicheachhaveatrainingcomponent,areproducingeducationalcontentsuchasTED-liketalks.CurriculumfordatasciencecoursesmaycomefromBD2KT32/T15trainingprograms,whichweregiventheopportunitytoapplyfor$20Kinfundstodevelopandsharecurriculumofnewcourses.ThenumberofeducationalresourcessupportedbyBD2K,orevenNIH,isdwarfedbythenumbersupportedelsewhere,whetherbytheNationalScienceFoundation,theDepartmentofEducation,foundations,universities,orprivateindustry.EducationalresourcesfromallofthesesourceswillbeincludedascontentinERuDIte.TheBD2KOpenEducationalResources,Shortcourses,andDiversityprogramsallaimtointroducebiomedicalscientiststodatamanagementanddatascience.Theseprogramsweredesignedtobeflexible,toallowforinnovationandforspecializationtoaparticularaudience,domainscience,ordatascience.Althoughafewofthefundedprogramsareconfinedtoanarrowaudienceorscientificarea,mostareforgeneralaudiencesandmultipledatatypes.InFY14andFY15,atotalof29R25programswerefunded,andtheseprogramshaveabroadreachgeographically.Moredetailabouttheaudience,scientificbreadth,andreachfollow.

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AudienceTheR25awardsaddressavarietyofeducationallevels(undergradstoseniorfaculty)andintendedusages(endusersorinstructors).

• Fiveprogramsfocusonhelpinginstructorsofadvancedundergrad/earlygradcourses.Examplesinclude:

o Atrain-the-trainerscourseinbiomedicaldatascienceforinstructors,whowillcollectivelydevelopacurriculumforundergraduatesatnon-research-intensivecolleges

o Curricularmaterials(slides,assessments,readingsuggestions)thatcanbeusedandadaptedbyotherinstructors

o AToolkittohelplibrariansteachdatamanagementtobiomedicalscientists

• Sevenprogramstargetundergradsdirectly,throughsummerprograms(includingdidacticandresearchexperiences)thataimtorecruitdatasciencestudentsintobiomedicalscienceortoexposebiomedicalstudentstodatamanagementanddatascience.FourofthesevenprogramshaveaprimarygoalofenhancingdiversitythroughpartneringwithBD2KCenters.

• Theremaining16programsfocusdirectlyonthegraduatestudentorthemoreadvancedlearner;althoughthedatamanagementanddatasciencematerialisintroductory,becauseitisnew,learnersarejustaslikelytobeseniorfacultyasgraduatestudents.

TheR25programsareamaincomponentofBD2K’sdiversityefforts.FourundergraduateprogramsaimtoenhancediversityinthebiomedicalworkforcethroughpartnershipsbetweentheBD2KCentersofExcellenceandlow-resourcedinstitutions.Thepartnershipssupportthedevelopmentofcurriculumandresearchexperiencesforundergraduatesandfacultyfromlow-resourced

institutions.Collectively,thesefourprogramsreach134studentsoverthecourseof5years.However,thenumberofstudentstouchedbytheimprovedcurriculumandthestrengthenedfacultyisfargreater.Inadditiontothefourprogramsfundedexplicitlyfordiversity,otherR25smakeseriouseffortstorecruitandtrainunderrepresentedminorities.Forexample,inthefirstoffering,theshortcoursefromOregonHealthSciencesUniversitytrained9URMsoutofthe17totalparticipants.AlthoughtheR25programsformthecoreofBD2K’sdiversityefforts,URMscanbesupportedbyBD2KthroughtheT32/T15trainingprograms,whichmusthave“diversityrecruitmentandretentionplans,”andthroughdiversitysupplements(PA-15-322).

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ScientificBreadth• DomainFocus:Althoughthemajorityoftheprogramsaimforageneral

biomedicalaudience,someofthemfocusonaparticulardatatype.Aboutaquarteroftheprogramsfocusongenomics,andanotherquarterfocusononeofimaging,clinical,orpopulationdata.Themajorityusemultipledatatypesandareforageneralbiomedicalaudience.

Areaswithfewapplicationsandhencefewfundedapplicationsaretheclinicalandpopulationsciences.Withintheseareas,thisisnotabledearthofactivityinmHealth.Toencourageapplicationsintheclinicalandpopulationsciences,BD2KwillworkcloselywithrelevantInstitutes,CentersandOffices,suchasNCATSandOBSSR,toensurethatanynewfundingopportunityannouncementscontainlanguagetoencourage

applicationsinthisareaandarewidelyadvertisedtotheappropriatecommunities.

• DataManagementandDataScience:Collectively,theawardsspanabroadrangeoftopics,includingdatamanagement,dataexploration,datarepresentation,computing,datamodeling,anddatavisualization.Eachofthesetopicscanbefurtherbrokendowninthefollowingway.

o Datamanagement:reuseofdata,datastandards,locatingandaccessingdataandtools,organizingandcuratingdatathroughontologiesanduseofmetadata

o Computing:distributedorparallelcomputing,workflows,programming,algorithms,optimization,andnaturallanguageprocessing

o Datarepresentation:datastructuresanddatabaseso Dataexploration:datamungingandpreparation,exploratorydata

analysiso DataModeling:probability,stochasticmodeling,introductory

statistics,advancedstatistics(e.g.multipletesting,dimensionreduction),machinelearning,experimentaldesign,Bayesianmethods,reproducibleresearch,networkmodels

o DatavisualizationandcommunicationAlthoughcollectivelytheR25awardsspantherangeabove,theyareoftencoveredwithlittledepth,andsomeofthetopicsareonlycoveredbyoneOpenEducationalResource,andthesetendtobethemoretechnical(e.g.optimizationandstochasticmodeling)orspecialized(e.g.ELSIandteamscience)topics.

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Reach

• Elevenprogramswithin-personcomponentsarespreadevenlybetweenEastcoast,Westcoast,andthemiddleofthecountry.Basedontheplannedenrollments,the11programswillserveover250participantsinthesummerof2016.

o ThethreeprogramsthatwerefundedinFY14heldcoursesinthesummerof2015.Theycollectivelyreachedundergraduates,PhDstudents,andfacultyfromover30differentuniversities.

o Demandforthe2015in-personcourseswashigh,withreportedacceptanceratesfortheprogramswithlimitedslotsasbeing35%and14%.Anotherprogramgavesupporttoalimitednumberofstudentsbutopenedalargeauditoriumforthecourse.

• FourteenoftheawardsareonlineOpenEducationalResources.Thesereachalargenumberofstudentsandinstructors,providingagreatvalueperstudent.

o Forexample,about5,000studentscompletedthefirst8coursesinRafaIrizarry’sseriesofbiomedicalDataScienceMOOCsinthefirstoffering,amountingtoabout$40perstudentbasedonanNIHinvestmentof$200K(year1directcosts).

AlthoughBD2Kissupportingthedevelopmentanddiscoveryoftrainingresources,continuedsupportintheareaisneededforanumberofreasons:gapsincontentcoverageexist(e.g.methodsformHealthdata,algorithmsandoptimizationmethods,advancedstatistics,networkmodels);demandforin-personcoursescontinuestoexceedsupply;differentwaysofexplainingmaterialresonatewithdifferentlearners;andmaterialsneedtobeupdatedtotakeintoaccountnewscienceandnewdevelopmentsintheunderstandingoflearning.

Goal2:ToIncreasetheNumberofBiomedicalDataScientistsToincreasethenumberofbiomedicaldatascientists,traineesneedtogaintheappropriateskills,wanttoworkinbiomedicalscience,andhaveanappropriateplacetowork.Becauseallofthesetraineeshaveself-selectedtowardbiomedicalscience,BD2K’sfocusisonhelpingtraineesgettheappropriateskillsinitiallyandusethoseskillsinthelongrun.Traineesmaybe1)predoctoralstudents,whogainfoundationsinbiomedicaldatasciencethroughT32/T15trainingprograms,2)postdocs/faculty,whoaretrainedineitherbiomedicalscienceordatascienceandrecognizetheneedtocomplementtheirexistingknowledgeandskillsthroughK01careerdevelopmentawards,or3)studentsorfacultywhoneedspecializedtrainingthatisunavailablelocallybutattainablethroughaResearchRotation.Retainingtraineesisbothimportantandachallenge,duetothedemandfordatascienceskillsacrosssectors.Althoughretentionisbeingaddressedprimarily

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throughprovidingsupport,BD2Kisalsointerestedinfacilitatingconversationswithuniversityleaderstodiscusscareerpathsforopenscienceanddatascience.SupportforthefurtherdevelopmentofdatascientistsintobiomedicaldatascientistsisgiventhroughK01awards.Beforeblendingbiomedicalanddatascienceknowledge,datascientistsmaybeabletoimmediatelycontributetoaddressingbiomedicalproblemsthroughworkinginteamswithbiomedicalscientists.SuchteamsarebeingfosteredthroughjointNSF/BD2KsupportintheQuBBDprogram,forbuildingcollaborationsbetweendatascientistsandbiomedicalscientists.

T32/T15TrainingProgramsPredoctoraltraineesaresupportedthroughnewT32programsandsupplementstoexistingT32orNLMT15programs:6werefundedinFY14,andanother10willbefundedinFY15,foratotalof84trainees.Sincemanyofthedepartmentsthattheprogramsresideinarenew,notallprogramsrequestedthemaximumof6slots.Becausethefieldisnascent,thereisstillnotfullagreementastowhatthecorecompetenciesare.However,someofthecommonareasofmostBD2Ktrainingprogramsare:modernstatistics(e.g.handlingmultiplecomparisons,highdimensionaldataanalysis,spatial-temporalcorrelation),computationaltechniques(e.g.usingcloudandparallelcomputing,optimization,andalgorithms),andmachinelearning.Mostprogramsarecreatingnewcoursesinordertointegratethesetopicstogetherandfocusclasstimeontheonesthatneedtobelearneddidactically.Belowisawordcloudofthecorecoursesoftheprograms.

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K01CareerDevelopmentBD2Kissupporting21postdocsandfacultywithmentoredcareerdevelopmentawards(K01).ThePIscomefromdiversebackgrounds:

• 9arephysicians,withspecialtiesinhematology/oncology,neurology,neuroradiology,surgery,urologicsurgery,pulmonaryandcriticalcaremedicine,andinternalmedicine

• 7haveprimarilyquantitativeorcomputationalbackgrounds,withdegreesinElectricalEngineeringandComputerScience,Physics,NuclearPhysics,andBiomedicalEngineering

• 3havebackgroundsinfieldsthatblendthebiomedicalandcomputationalsciences(moleculargenetics,bioinformaticsandcomputationalbiochemistry)

• 2arebehavioralorsocialscientists(SocialEpidemiology,QuantitativePsychology)

ThegroupofK01awardeesisdiversenotjustbyscientificbackgroundbutalsodemographicallyandgeographically:

• Nineoutof21arefemale.• Theyworkat18uniqueinstitutions.

Throughasustainedperiodofresearchcareerdevelopmentandtraining,theK01awardeeswillgaintheknowledgeandskillsnecessarytolaunchindependentresearchcareers.Thegoalisthattheybecomecompetitivefornewresearchprojectgrant(e.g.,R01)fundingintheareaofBigDataScience.

ResearchRotationsTheBD2KTrainingCoordinationCenterhasthreemaingoals:1)tocoordinatebyincreasingcommunicationacrosstheBD2K-fundedtrainingawards;2)todevelopadiscoveryindexforeducationalresources;and3)tocoordinateresearchrotationstofacilitateaccesstoappropriateexpertise.The“researchrotations”aimtomatchtraineeswhoneedspecializedtrainingwiththoseexpertswillingandabletoprovideit.Thetraineesareexpectedtomainlybegraduatestudents,postdocs,orjuniorfaculty.Implementationdetailsoftheresearchrotationsarestillinthedevelopmentstage,andevaluationmeasuresarebeingdesignedalongwiththeprogram.

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NSF/NIHQuantitativeBiomedicalBigData(QuBBD)ProgramSomeproblemswillrequireanewmodelofleadership.Particularlywhenverydiverseskillsneedtobebroughttobearontheproblem,teamsofindividualswithcomplementaryexpertisewillbeneeded.SuchteamsarebeingfosteredthroughapartnershipbetweenNSFandNIHcalledtheQuBBDprogram.ThisprogramconsistsofaseriesofInnovationLabsandthefundingofplanninggrants.InnovationLabsareweek-longmentoredworkshopsthatcatalyzeinterdisciplinaryteamsandspeeduptheprocessofdevelopingtheteam’sresearchprogram.BD2KranapilotInnovationLabinJuly2015.Bytheendoftheweek,12newinterdisciplinaryteamswerepreparedtosubmitgrantapplicationstogether.Theteamssubmittedapplicationsforsmallplanninggrants,alongwithnewly-formedteamsthatdidnotgothroughtheInnovationlab.Becauseanestablishedteamcandomuchworkvirtually,theteamsfosteredbytheQuBBDprogramdrawinawiderangeoftalent,manyofwhomarefromschoolsnototherwiserepresentedwithinBD2K.Theseteamsincludesomedatascientistswhoareinphysicallyisolatedlocationsalongwithbiomedicalscientistswhoareunabletofinddatasciencecollaboratorsduetothehighdemand.TheSummer2015InnovationLabwassuccessful,andthekeytosuccesswastheparticipationofmentorswhoarefromavarietyofbackgroundsandareleadersintheirrespectivefields.Thementorsguideteamsthroughtheiterativeideationprocess,offeringfeedbackonresearchideasthroughouttheweek.ContinuationoftheQuBBDprogramisunderdiscussion.

SummaryTheBD2KprogramsintrainingdescribedinthisdocumentareearlyeffortstoaddressaneedidentifiedbytheAdvisoryCommitteetotheDirector’sDataandInformaticsWorkingGroup.Theycoverbothbiomedicaldatasciencespecialists,aswellasspecialistsinotherbiomedicalareas.Theyalsocovertheeducationalpipelinefromundergraduatestofaculty.Theseprogramsare“earlyefforts”becausethereisstillmuchworktobedonetomeetbothgoals.Toquicklyincreasethebasedatascienceskillsofawidevarietyofbiomedicalscientists,earlyresourcesfocusedonbroad,generallyapplicabletopics.Laterresourcesmightbeonmorespecializedtopics.Likewise,toquicklyjumpstarttheincreaseinthenumberofbiomedicaldatascientists,someofthetrainingprogramsaremodificationsofexistingprograms,buildingonexistinginfrastructureandcourses.Asthecommunityconvergesonthecorecompetenciesofthefield,biomedicaldatasciencetrainingprogramswilllikelyevolveandmayendupbearinglittleresemblancetotheprogramsinitiallyfunded.

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TheBD2KInitiativeisinitsinfancy,andthetrainingprograms,alongwithotherBD2Kprograms,arecontributingtothedevelopmentofthefieldofbiomedicaldatascienceintheUSandacrosstheworld.AlthoughtheawardedgrantsareconfinedtoUSinstitutions,thereachextendsfarbeyondthroughthedevelopmentofopeneducationalresourcesandcontributionstotheglobalconversationsaboutthefieldofbiomedicaldatascience.Inaddition,internationalcollaborationssurroundingthediscoveryofopeneducationalresourcesforbiomedicaldatasciencehavebegun.TheBD2KprogramaimstoimprovetheabilityofthebiomedicalworkforcetouseBigDatabothtodayandtomorrow,bothintheUSandacrosstheworld.

GeographicDistributionofBD2KTrainingAwards