DataSharingDataONECommunityEngagement&OutreachWorking

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DataSharing

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LessonTopicsDatasharingwithinthedatalifecycleValueofdatasharingConcernsaboutdatasharingMethodsformakingdatasharable

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Aftercompletingthislesson,theparticipantwillbeableto:

1. Discussdatasharingconsiderationswithinthedatalifecycle

2. Recognizethebenefitsofsharingscientificdata3. Addressconcernsaboutsharingdata4. Outlineaprocessformakingdatasharable5. Identifymechanismsforsharingdata

LearningObjectives

TheDataLifecycleDatasharingshouldbeaddressedthroughoutthedatalifecycle.

TheDataLifecycleSeveralstagesrequirecriticalattentiontoensureeffectivedatasharing

Step ActionDescribe documentthedatacontent,characterandprocessDeposit storethedatainalocationfromwhichitcanbeaccessedPreserve selectstorageformatsandmediawithlongtermuseinmindDiscover publishinformationaboutthedatasothatotherscanfindit

Forthebenefitof:

thepublictheresearchsponsortheresearchcommunitytheresearcher

CCimagebyJessicaLuciaonFlickr

WhysharedataDatasharingrequireseffort,resources,andfaithinothers.Whydoit?

Abetterinformedpublicyieldsbetterdecisionmakingwithregardto:

EnvironmentalandeconomicplanningFederal,state,andlocalpoliciessocialchoicessuchasuseoftaxdollarsandeducationoptionspersonallifestyleandhealthsuchasnutritionandrecreation

CCimagebyfalonyatesonFlickr

ValueofDataSharing:TothePublic

ValueofDataSharing:ToResearchSponsor

OrganizationsthatsponsorresearchmustmaximizethevalueofresearchdollarsDatasharingenhancesthevalueofresearchinvestmentsbyenabling:

verificationofperformancemetricsandoutcomesnewresearchandincreasedreturnoninvestmentadvancementofthesciencereduceddataduplicationexpendituresenhancingandextendingtherecordofscience

buildupontheworkofothersandfurther,ratherthanrepeat,thescienceperformmetaanalysesthatcannotbeperformedwithindividualdatasetsorlaboratoriesshareresourcesandperspectivessothatcomprehensionisexpandedandenhanced

CCimagebyLawrenceBerkeleyNationalLaboratoryonFlickr

ValueofDataSharing:ToScientificCommunityAccesstorelatedresearchenablescommunitymembersto:

ValueofDataSharing:ToScientificCommunityAccesstorelatedresearchenablescommunitymembersto(cont’d):

increasetransparency,reproducibilityandcomparabilityofresultsexpandmethodologyassessment,recommendationsandimprovementeducatenewresearchersastothemostcurrentandsignificantfindings

Scientiststhatsharedatagainthebenefitof:

researchsponsorrecognitionasanauthoritativesourceandwiseinvestmentimproveddataqualityduetoexpandeduse,fieldchecks,andfeedbackgreateropportunityfordataexchangeimprovedconnectionstoscientificnetwork,peers,andpotentialcollaborators

CCimagebySLUMadridCampusonFlickr

ValueofDataSharing:TotheScientist

ConcernsAboutDataSharingEvenifthevalueofdatasharingisrecognized,concernsremainastotheimpactsofincreaseddataexposure.

Publicdomainimagebysuccoonpixabay

ConcernsAboutDataSharingProblem Solutioninappropriateuseduetomisunderstandingofresearchpurposeorparameters

?

securityandconfidentialityofsensitivedata ?lackofacknowledgement/credit ?lossofadvantagewhencompetingforresearchdollars ?

ConcernsAboutDataSharingProblem Solutioninappropriateuseduetomisunderstandingofresearchpurposeorparameters

metadata

securityandconfidentialityofsensitivedata metadatalackofacknowledgement/credit metadatalossofadvantagewhencompetingforresearchdollars metadata

ConcernsAboutDataSharingProblem Solutioninappropriateuseduetomisunderstandingofresearchpurposeorparameters

providerichAbstract,Purpose,UseConstraintsandSupplementalInformationwhereneeded

securityandconfidentialityofsensitivedata

themetadatadoesNOTcontainthedataUseConstraintsspecifywhomayaccessthedataandhow

ConcernsAboutDataSharingCont'dProblem Solutionlackofacknowledgement/credit

specifyarequireddatacitationwithintheUseConstraints

lossofadvantagewhencompetingforresearchdollars

createsecond,publicversionwithgeneralizedDataProcessingDescription

MakingDataSharableStepOne:

Createrobustmetadatathatisdiscoverablespecifygeographyandtimeperiodsusedisciplinespecifictheme,placeandtemporalkeywords,thesauri,andontologiesdescribeattributesincludelinkstoassociateddatacatalogues,datadownloads,projectwebsites,etc.

MakingDataSharableStepTwo:Includearchivalandreferenceinformation

properlyformatteddatacitationsforthedataandallsourcesUniversallyUniqueIdentifiers(UUID)thatuniquelyidentifyyourdataandhelptolinkthedatawiththemetadata SeetheDataONEuniqueidentifierguidanceat:http://mule1.dataone.org/ArchitectureDocs-current/design/PIDs.html

DataCitationExample:Sidlauskas,B.2007.Datafrom:Testingforunequalratesofmorphologicaldiversificationintheabsenceofadetailedphylogeny:acasestudyfromcharaciformfishes.DryadDigitalRepository.doi:10.5061/dryad.20

MakingDataSharableStepThree:Havedatacontributorsreviewyourmetadatatoensurevalidityandorganizational‘correctness’?

aretheprocessesdescribedaccurately?areallcontributionsadequatelyidentified?hasmanagementreviewedtheproductanddocumentation?isthefundingorganizationproperlyrecognized?

MakingDataSharableStepFour:Publishyourmetadataand/ordatavia:

FederalDataCatalogsdata.gov

DataRepositoriesKnowledgeNetworkforBiodiversity(KNB)DataPortalLongTermEcologicalResearch(LTER)NetworkDataPortalInstitutionaldatarepositories

OtherOnlineResourcesProjectand/orProgramwebsitesWeb-accessiblefolders(WAF)CommunityorPublicCloud

Searchabledirectoryofrepositoriesforpublishingyourdatahttp://service.re3data.org/search

MakingDataSharableStepFour:Publishyourmetadataand/ordatavia:(cont’d)

OtherOnlineResources

Projectand/orProgramwebsitesLinkswithinonlinelessonsandoutreachproductsWeb-accessiblefolders(WAF)CommunityorPublicCloud

BestPracticesDocumentandpublishdatausingstandardsPromotedatauseviapresentationsandmeetingsSolicitfeedbackfromdatausersandaddressidentifiedissuesMonitorpublicationsandwebsitesfordatauseandaddressmisapplications

DatainRealLifeIn2003,agroupofscientistsfromtheNationalInstitutesofHealth,theFoodandDrugAdministration,drugandmedicalimagingindustries,universities,andnonprofitgroupsjoinedinacollaborativeefforttofindthebiologicalmarkersthatshowtheprogressionofAlzheimer’sdiseaseinthehumanbrain.Thegoalofthisprojectwastodoresearchonamassivescalethatwouldinvolvesharingandmakingaccessibleallthedatauncoveredtoanyoneintheworldwithacomputer.Dr.JohnTrojanowskianAlzheimer’sresearcherattheUniversityofPennsylvaniastated,“It’snotsciencethewaymostofushavepracticeditinourcareers.Butweallrealizedthatwewouldnevergetbiomarkersunlessallofusparkedouregosandintellectual-propertynosesoutsidethedoorandagreedthatallofourdatawouldbemadepublicimmediately.”http://www.nytimes.com/2010/08/13/health/research/13alzheimer.html

SummaryDatasharingaddsvaluetothedataItistheresponsibilityoftheresearchertosharetheirdataMetadatasupportsdataaccountability,liability,andusabilitySponsorsexpect,somerequire,datatobesharedDatasharingisessentialtotheadvancementofscience

References1. Inter-universityConsortiumforPoliticalandSocialResearch(ICPSR),ICPSR

GuidetoDataPreparationandArchiving:BestPracticeThroughouttheDataLifeCycle(ICPSR,2009;http://www.icpsr.umich.edu/files/ICPSR/access/dataprep.pdf).[4thEdition]

2. AustralianBureauofStatistics-NationalStatisticalService(ABS-NSS),Agoodpracticeguidetosharingyourdatawithothers(ABS-NSS,2009;http://www.nss.gov.au/nss/home.nsf/NSS/E6C05AE57C80D737CA25761D002FD676?opendocument).[Vers.1]

3. H.A.Piwowar,AnewtaskforNSFreviewers:Recognizingthevalueofdatareuse.ResearchRemixvers.May28,2011(http://researchremix.wordpress.com/2011/05/28/dear-nsf-reviewers/).[blogpostingofdraft]

4. H.A.Piwowar,M.J.Becich,H.Bilofsky,R.S.Crowley,TowardsaDataSharingCulture:RecommendationsforLeadershipfromAcademicHealthCenters.PLoSMed.5(9),e183(2008),doi:10.1371/journal.pmed.0050183.[onbehalfofthecaBIGDataSharingandIntellectualCapitalWorkspace]

5. J.L.Teeters,K.D.Harris,K.J.Millman,B.A.Olshausen,F.T.Sommer,DataSharingforComputationalNeuroscience.Neuroinform(2008),DOI10.1007s12021-008-9009-y.

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