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Academic Research Integrity HMS ARI November 2018 Academic Research Integrity: Practical applications in the lab Mary C. Walsh, Ph.D. Chief Scientific Investigator Office for Academic and Research Integrity (ARI) Harvard Medical School [email protected] Daniel H. Wainstock, Ph.D. Associate Director for Research Integrity Office for Academic and Research Integrity (ARI) Harvard Medical School [email protected]

Academic Research Integrity: Practical applications …...y I 8 Academic Research Integrity: Practical applications in the lab Mary C. Walsh, Ph.D. Chief Scientific Investigator Office

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Page 1: Academic Research Integrity: Practical applications …...y I 8 Academic Research Integrity: Practical applications in the lab Mary C. Walsh, Ph.D. Chief Scientific Investigator Office

Academ

icResearchIntegrity

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Practicalapplicationsinthelab

MaryC.Walsh,Ph.D.ChiefScientificInvestigatorOfficeforAcademicandResearchIntegrity(ARI)[email protected]

DanielH.Wainstock,Ph.D.AssociateDirectorforResearchIntegrity

OfficeforAcademicandResearchIntegrity(ARI)HarvardMedicalSchool

[email protected]

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https://www.wordclouds.com/

Whatdoesthephrase“researchintegrity”meantous?

What are we doing everyday in the lab that helps us “do it right”?

22surveyresponses~86% have participated

in seminars and/or discussions concerning

research integrity

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Whathelpsus“doitright”?

Our approach to research and data integrity

Labpractice

Institutionpractice

Stateoftheart

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Whathelpsus“doitright”?ResearchandDataIntegrity

Think“local”v Whatdoesmylab(labPI)expectofme?v Systemformaintainingrawandanalyzeddata(localnetworks)v Systemfortrackingexact protocolsandstatisticalanalysis

(notebooks/ELNs)v Availablehardwareandsoftwarev Trackimportantbiologicalmetadata

Think“field”v Federalgrants:understandexpectationsofmaintainingandsharingdatav Publishingdata:whatarethenormsinthefield(s)?

Think“organizational”v Doesmyhomeinstitutionhaveexpectationsarounddatamaintenance?v Whataremyresourcestomeettheseexpectations?v HowaboutmylocalDepartmentorCenter?

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FieldResourcesResearchandDataIntegrity

o RequirementsforOpenAccessandDataSharingØ Federalfundingmandates*sharing!(NIH,NSF)

* whileNIHPublicAccessisaglobalrequirementDataSharinghasapplicabilityguidelines

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FieldResourcesResearchandDataIntegrity

o NIHRigorandReproducibilityInitiativeØ Consensusofthoughtleadersonscientificdata(FAQs onRigorandTransparency)

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FieldResourcesResearchandDataIntegrity

o Reportingguidelinesthatmayberequired/applicable/helpfulTheEQUATOR network(EnhancingtheQUAlityandTransparencyOfhealthResearch)

Ø ARRIVE (AnimalResearch:ReportingofInVivoExperiments)Ø CONSORT (ConsolidatedStandardsofReportingTrials)Ø PRISMA (PreferredReportingItemsforSystematicReviewsandMeta-Analyses)

o Datamanagementplans(DMPs)Ø NISOPrimerØ DMPTool

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FieldResourcesResearchandDataIntegrity

o WhatguidancedoAssociations/Societiesprovide?Ø SocietyofNeuroscience(JournalofNeuroscience)

§ ImprovingYourScience:Sample-sizePlanning,Pre-Registration,andReproducibleDataAnalysis

§ Datascienceresources [BigData:Whatyoushouldknow]§ Webinar(membershiprequired):DataScienceApproachesforNeuroscientists

Ø AAAS (Science)

o Whataboutjournals?Ø Nature(TransparencyandReproducibility)

Ø Neuron(CellPress/Elsevier*)§ STAR methods§ Mendeley*

ü Importer andDesktopü MendeleyData

*Elsevierhaspartiallysupportedotherwork independentofARIOutreachinitiatives

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OrganizationalResourcesResearchandDataIntegrity

o DMWG (DataManagementWorkingGroup)Ø LinkstofantasticresourcessupportingtheResearchDatalifecycle

§ HMSDataStorageü OMERO

§ Repositories§ ELNs

o HarvardMedicalSchool ResearchComputingØ LinkstoITresourcesforHMS

§ StorageandTraining§ EnterpriseLicensedSoftware§ HMSSoftwareWiki

o CountwayLibraryØ Inadditiontoaccesstooutstandingelectronicjournalsandliterature(Hollis)

§ ResearchServices§ HarvardGuidelinesregardingpublicaccessandtools

o CatalystØ Great researchresources(forbasicandtranslationalwork)andtrainingopportunities

§ Biostatistics andBioinformatics consulting§ ProgramsandClasses available

o edXØ Greatfreeclassesfromexpertsonmanytopics

§ Principles,StatisticalandComputationalToolsforReproducibleScience

o LocalDepartmentResourcesØ e.g.,DepartmentofGeneticshasaComputerFacility intheNRB.Windows,Macintosh,andLinuxoperating

systemsonawidevarietyofhardware.Installation/maintenanceofdesktopcomputersandservers;automatedbackupsofservers;emailfortheGeneticsDepartment;assistancewithwebsitesandprogramming.

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Biomedicalmetadata

LabDataStorageStructureandLabNotebook(NotebooksandStorage)o ELNso DirectoryStructureo Filenamingconventions

§ ReadMefiles§ Protocols(standardsand,importantly,adaptation!)–

Checkoutprotocols.io§ StatisticalAnalysis

Reagents*[andAnimals!]o antibodieso celllineso reagentbatching andlot#so animalwork!(ARRIVE,IACUC,localfacility,etc.)o biologicalvariables(e.g.,sexasabiologicalvariable

[SABV])

HardwareandSoftware(Tools)o Rawdataproduction!o understandandtrackspecso HMScorefacilitiesequipmentthatmayhave

networkeddatastorageonhardwareo labequipment(networkedorlocaldatastorage)o pairedsoftware(proprietaryorotherwise)o Code?CheckoutGitHub,Jupyter andCodeOcean

LocalResourcesandPracticeResearchandDataIntegrity

RESULTS/RAW DATA

ReproducibleData/literature

*NIHrequiresareagentvalidation statementinallgrantapplications.TheirResourceChartisahelpfulwaytothinkaboutoveralldataorganization.

Data Integrity

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X

LocalResourcesandPractice

original/analyzed/publisheddata(a“synthetic” * examplepartI)

*“L&A”disclaimer:anyresemblancetoactualpersons,livingordead,oractualeventsispurelycoincidental.

“Figure2”Data.NomodificationstooriginalimagesreportedinMaterialsandMethodsorlegends.Whenaskedtomakerawdataavailableforeditorialreview,thecomposite.jpegfigurewasprovided

“Figure2”Data.Allmodificationstooriginalimages(global) reportedinMaterialsandMethodsandLegend.Whenaskedtomakerawdataavailableforeditorialreviewallrawimages(.oib)analyzedfiles(.tif)andthecomposite.jpegfigurewithandwithoutmodificationwereprovided

ü

ORIGINAL dataacquisition-staysthatway!

MCW9OMEROmw100318DymeckiDiscussion/SyntheticDataPartI

.OIBfile(s) “rotate.OIB”OlympusFluoViewFV1000

PUBLISHEDResultsandDiscussionsection(Welshetal2018)

ANALYZED datainfigurepreparationsoftware• trackallmodifications/alterations(.jpeg)• Labpresentationmw100918.Dymecki

discussion.ARI.pptx• DataIntegritymanuscriptinpreparation

COPY oforiginaldataintomw100318DymeckiDiscussion/SyntheticDataPartI/ANALYSIS• .tifseriescreated• namingconventions/identificationconsistent

originalè analyzedè publisheddata

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PUBLISHEDMaterialsandMethods section(Welshetal2018)

Notebook6(MCWMBLKOwork:05.25.18- )pp.22-mw082118-“CytokineexpressioninisolatedMBLKOvsWTmicroglia”

LocalResourcesandPractice

protocols/finalprotocols(a“synthetic”*examplepartII)

SnapshotstakenbyMaryC.Walshfrom:DraughtofLivingDeath- HarryPotterandtheHalf-BloodPrinceYouTube·7,000+views·5/31/2013·byAceGoins

X

*“L&A”disclaimer:anyresemblancetoactualpersons,livingordead,oractualeventsispurelycoincidental.

09251835

10.11.18

MicrogliawereisolatedandhomogenizedaccordingtotheprotocolsfoundinMicrogliaMethodsandProtocols(Springer2013,Chapter9)MicroglialActivation:MeasurementofCytokinesbyFlowCytometryhttps://link-springer-com.ezp-prod1.hul.harvard.edu/content/pdf/10.1007%2F978-1-62703-520-0_9.pdf

MicrogliawereisolatedandhomogenizedaccordingtotheprotocolsfoundinMicrogliaMethodsandProtocols(Springer2013,Chapter9)MicroglialActivation:MeasurementofCytokinesbyFlowCytometryhttps://link-springer-com.ezp-prod1.hul.harvard.edu/content/pdf/10.1007%2F978-1-62703-520-0_9.pdf withthefollowingnotableadaptations:Optimalintermittentvortexingofinitialisolationofhomogenateswasdeterminedtobe2xvortex,@15minand@45minfornotlongerthan10seconds/applicationduringthe1hrhomogenateicingperiod.

ü

ORIGINALNotebook6:pp.23-24,mw082518MicrogliaMethodsandProtocols (Springer2013)MicroglialActivation:MeasurementofCytokinesbyFlowCytometry(Chapter9)

ANALYZEDNotebook6:pp.24-35,mw082518-mw092518AdaptationofMicrogliaMethodsandProtocols(e.g.,intermittent vortexing 1hr on ice= 2x vortex, @15 min and @45 min for not longer that 10seconds/application)

originalè analyzedè publisheddata

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*“L&A”disclaimer:anyresemblancetoactualpersons,livingordead,oractualeventsispurelycoincidental.

LocalResourcesandPractice

“statistics”forthought(a“synthetic”*examplepartIII)

ORIGINALDymeckiDiscussion/SyntheticDataPartIII/mw082118/DataPlan

“CytokineexpressioninisolatedMBLKOvsWTmicroglia”• Variables• Samplesizes• Statisticaltests

CC0 CC0

ANALYSIS PartIDymeckiDiscussion/SyntheticDataPartIII/mw090518/ANALYSIS• realizesamplesizesmaybetoosmall(not

seeingsignificantdataonearlysamples)• addmoreanimals

ANALYSIS PartIIDymeckiDiscussion/SyntheticDataPartIII/mw092218/ANALYSIS• theoriginalstatisticaltestsproposeddonot

providesignificance(evenwithadditionalanimals)

• realizeappropriatealternativetestavailable,applicationresultsinsignificance

X

PUBLISHEDMaterialsandMethods section(Welshetal2018)

XFormicrogliacytokineexpressionexperiments“wecontinuouslyincreasedthenumberofanimalsuntilstatisticalsignificancewasreachedtosupportourconclusions.”Statisticaltestswereappliedtoassesssignificanceofdifferentialcytokineprofiles(p<0.05).

Formicrogliacytokineexpressionexperimentsweprovideallsamplesize,dataexclusionandreplicationinformationaspartofadetaileddatamanagementplanoutlinedattheinitiationofexperimentationandprovidedaspartofthesubmitted“Lifesciencesstudydesign”.Anydeviationsfromthisplanareclearlydetailedwithaccompanyingrationale.Additionalstatisticalassessmentsondatasetswereincludedtoprovideacompleteprofileofhypothesistestingandresultinganalysisrationale.

ü

originalè analyzedè publisheddata

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https://www.theonion.com/national-science-foundation-science-hard-1819566466

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"Somewhere, something incredible is waiting to be known."- (Carl Sagan) Sharon Begley

“Genius is 2% (1%) inspiration and 98% (99%) perspiration."-Thomas Edison

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Thank You!v ResearchandDataIntegrityandtheresponsibleconductofresearchcan

havemanymeaningsv Thestepswetakeeveryday,bothlargeandsmall,canhaveanexponential

impactv Buildingcarefuldataandmetadatamanagementintoexperimentaldesign

canspeedupanalysis,andeasetrouble-shootingandreplicationv Whenplansaren’tenough,documentchangesv Revisitthediscussionssuchastheonewearehavingtoday(innovate)v Sharethewealth(disseminate)

MaryC.Walsh,Ph.D.ChiefScientificInvestigatorOfficeforAcademicandResearchIntegrity(ARI)[email protected]

DanielH.Wainstock,Ph.D.AssociateDirectorforResearchIntegrity

OfficeforAcademicandResearchIntegrity(ARI)HarvardMedicalSchool

[email protected]

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AcknowledgementsHMSOfficeforAcademicandResearchIntegrity(ARI)TeamGretchenBrodnicki,J.D.JenniferRyan,J.D.MortimerLitt,M.D.BlakeTalbot,M.P.H.

Disclosures:MaidstoneConsultingGroup,LLC

ColumbiaUniversityOfficeofResearchComplianceandTrainingTheResearchandDataIntegrity(ReaDI)ProgramMichelleBenson,Ph.D.

HMSDataManagementWorkingGroupJessicaPierce

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SURVEYFEEDBACK:Elements(orresources)specifictoresearchintegrity,dataintegrity,transparency,and/orexperimentalrigorandreproducibilitythatyouwantedtolearnmoreabout

o Electroniclabnotebookorganizationandrigor,reproducibility,andnotetaking?Ø Checkoutslide10Ø DMWGmatrixonELN (hyperlinkedtothesiteswhereyoucangetasenseoforganization)andguideson

BiomedicalMetadataØ ColumbiaReaDIprogram(seeslide24,andGoodLaboratoryNotebookPractices)Ø TakealookatOSF (OpenScienceFramework)– searchfor“electroniclaboratorynotebook”somegreat

examples

o Statisticaltests?Ø Checkoutslide10Ø UCLAidre:ChoosingtheCorrectStatisticalTestinSAS,STATA,SPSSandRandthereareotherexamplesout

there…Ø TalktoyourlabmentorandcolleaguesØ Askastatistician– CatalystBiostatisticalConsultingØ Reviewyoursoftwareguides(e.g.,Statahandbookisactuallygreatguideforappliedstatistics)

o GitHubandpostingcode?Ø Checkoutslide10Ø GitHub,Jupyter andCodeOcean

o Reproducibilityofcomputationalresearchandworkingwithlargedata?Ø DepartmentofBiomedicalInformaticsØ HarvardChanBioinformaticsCoreØ BigDatatoKnowledge(BD2K)

Ø BestPracticesforBiomedicalResearchDataManagementØ BigDataSciencewiththeBD2K-LINCS(LibraryofIntegratedNetwork-basedCellularSignature)Data

coordinationandIntegrationCenterØ Fieldspecificfieldexamples(e.g.,checkoutslide8forneuroscienceexample- Datascienceresources [Big

Data:Whatyoushouldknow])

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SURVEYFEEDBACK:Elements(orresources)specifictoresearchintegrity,dataintegrity,transparency,and/orexperimentalrigorandreproducibilitythatyouwantedtolearnmoreabout

o Researchmisconductthatwouldbeanaccidentorthroughignorance,notanythingdeliberate?Ø HonesterrorisnotresearchmisconductØ Corrections(andretractions)areanappropriateelementoftypicalscientificdiscourseØ Ifyouwanttolearnmoreaboutthestandardsformisconductdecisions(42CFR§ 93.104)

o Havetherebeencasesofresearchmisconductthatwouldn'tbeobvioustothoseofuswhohavetakencoursesonresearchmisconduct?Ø DependsontheaudienceandthecaseØ CheckoutRetractionWatch togetasenseofexamplesofpossiblecasesandcommunitydiscoursearound

processandoutcome

o Statisticsformisconduct?Ø ORIWebsite– CaseSummaries

o Howcanwesupportorencourageourentirelabtoevaluate(andpossiblyupdate)datamanagementpractices?Ø Discussionwithyourmentor(s)regardinglocalpracticeØ Discussionsatlabmeetingsregardinglocalpractice(inviteARItocomeifhelpful!)

o Atwhatpointisreproducibilityconsideredsignificant?Ø Fromday1.Consider:Ifyouandonlyyoucandoathingonce,howdoesitmovetheknowledgebase

forward?Andkeepinmind:youareyourmostfrequentcollaborator!Sodoyourselfasolidandinvestthesweatequitysoonerratherthanlater.

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Resources- slides

NIHPublicAccessPolicyhttps://publicaccess.nih.gov/NIHDataSharingPoliciesandImplementationGuidancehttps://grants.nih.gov/policy/sharing.htmhttps://grants.nih.gov/grants/policy/data_sharing/data_sharing_guidance.htm#appNIHDataSharingPoliciesTablehttps://www.nlm.nih.gov/NIHbmic/nih_data_sharing_policies.htmlNSFPublicAccessRepository(NSF-PAR)https://www.nsf.gov/news/special_reports/public_access/about_repository.jsp

TheEQUATORnetworkhttps://www.equator-network.org/DMPToolhttps://dmptool.org/NationalInformationStandardsOrganization.ResearchDataManagement:APrimerhttps://www.niso.org/publications/primer-research-data-management

NIHRigorandReproducibilityhttps://www.nih.gov/research-training/rigor-reproducibility/principles-guidelines-reporting-preclinical-researchNIHRigorandReproducibilityFAQshttps://grants.nih.gov/reproducibility/faqs.htm

FreeOnlineWordCloudGeneratorhttps://www.wordclouds.com/

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Resources- slides

SocietyforNeurosciencehttp://www.sfn.org/SfNProfessionalDevelopment(Neuroscience2017):ImprovingYourScience:Sample-sizePlanning,Pre-Registration,andReproducibleDataAnalysishttps://www.sfn.org/sitecore/content/Home/OMP/Articles/Professional-Development/2018/Improving-Your-Science-Sample-Size-Planning-Pre-Registration-and-Reproducible-Data-AnalysisSfNScientificResearch:DataScienceResourceshttps://www.sfn.org/sitecore/content/Home/OMP/Articles/Scientific-Research/2016/Data-Science-ResourcesAAAShttps://www.aaas.org/Naturehttps://www.nature.com/authors/policies/reporting.pdfCellPressSTAR«METHODShttps://www.cell.com/star-authors-guideMendeleyReferenceToolshttps://www.mendeley.com/reference-management/web-importer#id_1https://www.mendeley.com/download-desktop/MendeleyDatahttps://data.mendeley.com/

TheDataManagementWorkingGrouphttps://datamanagement.hms.harvard.edu/hms-data-management-working-groupHMSResearchComputinghttps://rc.hms.harvard.edu/HarvardMedicalSchoolSoftwareResources(HMSwiki)https://wiki.med.harvard.edu/Software/CountwayLibraryhttps://www.countway.harvard.edu/HMSCatalysthttps://catalyst.harvard.edu/edXhttps://www.edx.org/DepartmentofGeneticshttp://genetics.hms.harvard.edu/

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Resources- slides(con’t)DMWGELNMatrixhttps://docs.google.com/spreadsheets/d/1ar8fgwagOh30E31EAPL-Gorwn_g6XNf81g3VDQnQ_I8/edit#gid=0DMWG(BestPracticesMenu)https://datamanagement.hms.harvard.edu/UCLAidre:WhatStatisticalTest?https://stats.idre.ucla.edu/other/mult-pkg/whatstat/Protocols.iohttps://www.protocols.io/AntYbuddY https://www.antybuddy.com/InternationalCellLineAuthenticationCommitteehttp://iclac.org/databases/cross-contaminations/GlobalBiologicalStandardsInstitute https://www.gbsi.org/AnimalResearch:ReportingofInVivoExperiments(ARRIVE)https://www.nc3rs.org.uk/arrive-guidelinesHMSCoreFacilitieshttps://corefacilities.hms.harvard.edu/GitHubhttps://github.com/Jupyterhttp://jupyter.org/CodeOceanhttps://codeocean.com/AuthenticationofKeyBiologicaland/orChemicalResourceshttps://grants.nih.gov/grants/guide/notice-files/NOT-OD-17-068.html

TheBookDesignerhttps://www.thebookdesigner.com/2010/01/6-copyright-page-disclaimers-and-giving-credit/NaturePublishingImageIntegrityandStandards https://www.nature.com/authors/policies/image.htmlMicrogliaMethodsandProtocols(Springer2013)https://experiments-springernature-com.ezp-prod1.hul.harvard.edu/springer-protocols-closure

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Resources- slides(con’t)

TheOnion(Science&Technology)2002NationalScienceFoundation:ScienceHardhttps://www.theonion.com/national-science-foundation-science-hard-18195664661977August15,Newsweek,Volume90,SeekingOtherWorlds(ProfileofCarlSagan),StartPage46,QuotePage53,Newsweek,Inc.,NewYork.(Verifiedonmicrofilm)https://quoteinvestigator.com/2013/03/18/incredible/1898April,TheLadies’HomeJournal,TheAnecdotalSideofEdison,Subsection:HisEstimateofGenius,StartPage7,QuotePage8,Column2,CurtisPublishingCompany,Philadelphia.(ProQuestAmericanPeriodicals)https://quoteinvestigator.com/2012/12/14/genius-ratio/#note-5018-3

Mousepichttp://4.bp.blogspot.com/-k9rfuvH0IFI/Tqq6LtQxfJI/AAAAAAAAALQ/6duHJ4osYVQ/s1600/Mus_Musculus_Unibe.jpegStatspichttp://www.aph.gov.au/~/media/05%20About%20Parliament/54%20Parliamentary%20Depts/544%20Parliamentary%20Library/Flagpost/Statistics/125806739.jpg?as=1&w=250

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AdditionalresourcesColumbiaReaDI Programhttps://research.columbia.edu/ReaDI-Program• GoodLaboratoryNotebookPractices• BestPracticesforDataManagementwhenUsingInstrumentation• ReproducibilityResourcesandGuidelinesbyTopic• ResourcesbyDiscipline:Neuroscience

InternationalSocietyforPharmaceuticalEngineering:GMPResourceshttps://ispe.org/initiatives/regulatory-resources/gmp

RigorandReproducibilityinNIHApplications:ResourceCharthttps://grants.nih.gov/grants/RigorandReproducibilityChart508.pdfRigorandReproducibilityinNIH:Traininghttps://www.nih.gov/research-training/rigor-reproducibility/training

NIHResearchIntegrityandRCRhttps://grants.nih.gov/policy/research_integrity/index.htm

PenelopeAIhttps://www.penelope.ai/

OSF(OpenScienceFramework)https://osf.io/“TOP”[TransparencyandOpennessPromotion]Guidelineshttps://osf.io/ud578/?_ga=1.211230620.829898984.1435325845