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hal.structure.identifierMathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
hal.structure.identifierUniversité de Montpellier [UM]
dc.contributor.authorDAVID, Romain
hal.structure.identifierUniversité Toulouse III - Paul Sabatier [UT3]
hal.structure.identifierInstitut National de la Santé et de la Recherche Médicale [INSERM]
dc.contributor.authorMABILE, Laurence
hal.structure.identifierThe University of Queensland [UQ [All campuses : Brisbane, Dutton Park Gatton, Herston, St Lucia and other locations]]
dc.contributor.authorSPECHT, Alison
hal.structure.identifierGraz University of Technology [Graz] [TU Graz]
dc.contributor.authorSTRYECK, Sarah
hal.structure.identifierUniversité Toulouse III - Paul Sabatier [UT3]
hal.structure.identifierInstitut National de la Santé et de la Recherche Médicale [INSERM]
dc.contributor.authorTHOMSEN, Mogens
hal.structure.identifierInstitut Charles Gerhardt Montpellier - Institut de Chimie Moléculaire et des Matériaux de Montpellier [ICGM]
dc.contributor.authorYAHIA, Mohamed
hal.structure.identifierWEB Architecture x Semantic WEB x WEB of Data [WEB3]
hal.structure.identifierWeb-Instrumented Man-Machine Interactions, Communities and Semantics [WIMMICS]
dc.contributor.authorJONQUET, Clement
hal.structure.identifierHôpital Erasme [Bruxelles] [ULB]
dc.contributor.authorDOLLÉ, Laurent
hal.structure.identifierBiologie du fruit et pathologie [BFP]
hal.structure.identifierUniversité de Bordeaux [UB]
dc.contributor.authorJACOB, Daniel
hal.structure.identifierIstituto Nazionale di Geofisica e Vulcanologia - Sezione di Palermo [INGV]
dc.contributor.authorBAILO, Daniele
hal.structure.identifierIstituto Superiore di Sanità = National Institute of Health [ISS]
dc.contributor.authorBRAVO, Elena
hal.structure.identifierInstitut méditerranéen de biodiversité et d'écologie marine et continentale [IMBE]
hal.structure.identifierAix Marseille Université [AMU]
hal.structure.identifierInstitut de Recherche pour le Développement [IRD]
hal.structure.identifierCentre National de la Recherche Scientifique [CNRS]
hal.structure.identifierAvignon Université [AU]
dc.contributor.authorGACHET, Sophie
hal.structure.identifierCarnegie Mellon University [Pittsburgh] [CMU]
dc.contributor.authorGUNDERMAN, Hannah
hal.structure.identifierMathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
hal.structure.identifierUniversité de Montpellier [UM]
dc.contributor.authorHOLLEBECQ, Jean-Eudes
hal.structure.identifierSwiss Institute of Bioinformatics [Lausanne] [SIB]
dc.contributor.authorIOANNIDIS, Vassilios
hal.structure.identifierDirection générale déléguée à la Recherche, à l’Expertise, à la Valorisation et à l’Enseignement-Formation [DGD.REVE]
hal.structure.identifierPatrimoine naturel [PatriNat]
dc.contributor.authorLE BRAS, Yvan
hal.structure.identifierGéographie de l'environnement [GEODE]
hal.structure.identifierUniversité Toulouse - Jean Jaurès [UT2J]
dc.contributor.authorLERIGOLEUR, Emilie
hal.structure.identifierEpidémiologie et Analyses en Santé Publique : risques, maladies chroniques et handicap [LEASP]
hal.structure.identifierUniversité Toulouse III - Paul Sabatier [UT3]
hal.structure.identifierInstitut National de la Santé et de la Recherche Médicale [INSERM]
dc.contributor.authorCAMBON-THOMSEN, Anne
dc.date.issued2020-08-11
dc.identifier.issn1683-1470
dc.description.abstractEnThe SHARC Interest Group of the Research Data Alliance was established to improve research crediting and rewarding mechanisms for scientists who wish to organise their data (and material resources) for community sharing. This requires that data are findable and accessible on the Web, and comply with shared standards making them interoperable and reusable in alignment with the FAIR principles. It takes considerable time, energy, expertise and motivation. It is imperative to facilitate the processes to encourage scientists to share their data. To that aim, supporting FAIR principles compliance processes and increasing the human understanding of FAIRness criteria-i.e., promoting FAIRness literacy-and not only the machine-readability of the criteria, are critical steps in the data sharing process. Appropriate human-understandable criteria must be the first identified in the FAIRness assessment processes and roadmap. This paper reports on the lessons learned from the RDA SHARC Interest Group on identifying the processes required to prepare FAIR implementation in various communities not specifically data skilled, and on the procedures and training that must be deployed and adapted to each practice and level of understanding. These are essential milestones in developing adapted support and credit back mechanisms not yet in place.
dc.description.sponsorshipDes Données aux Connaissances en Agronomie et Biodiversité
dc.description.sponsorshipCentre français de phénomique végétale
dc.description.sponsorshipBuilding New Tools for Data Sharing and Reuse through a Transnational Investigation of the Socioeconomic Impacts of Protected
dc.language.isoen
dc.publisherCommittee on Data for Science and Technology (CODATA)
dc.subject.enFAIR principles
dc.subject.enFAIRness literacy
dc.subject.enFAIR assessment
dc.subject.enResearch data sharing
dc.subject.enFAIRification
dc.subject.enPre-FAIRification
dc.title.enFAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles
dc.typeArticle de revue
dc.identifier.doi10.5334/dsj-2020-032
dc.subject.halInformatique [cs]/Technologies Émergeantes [cs.ET]
dc.subject.halInformatique [cs]/Base de données [cs.DB]
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
dc.subject.halSciences de l'environnement/Environnement et Société
dc.subject.halInformatique [cs]/Informatique et langage [cs.CL]
dc.description.sponsorshipEuropeThe European plug-in to the global Research Data Alliance
dc.description.sponsorshipEuropeEuropean Plant Phenotyping Network 2020
dc.description.sponsorshipEuropeProviding an open collaborative space for digital biology in Europe
dc.description.sponsorshipEuropeERINHA-Advance - Advancing European Research Infrastcuture on Highly Pathogenic Agents
bordeaux.journalCODATA Data Science Journal
bordeaux.page1-11
bordeaux.volume19
bordeaux.issue32
bordeaux.peerReviewedoui
hal.identifierhal-02483307
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02483307v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=CODATA%20Data%20Science%20Journal&rft.date=2020-08-11&rft.volume=19&rft.issue=32&rft.spage=1-11&rft.epage=1-11&rft.eissn=1683-1470&rft.issn=1683-1470&rft.au=DAVID,%20Romain&MABILE,%20Laurence&SPECHT,%20Alison&STRYECK,%20Sarah&THOMSEN,%20Mogens&rft.genre=article


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