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Making experimental data tables in the life sciences more FAIR: a pragmatic approach

hal.structure.identifierBiologie du fruit et pathologie [BFP]
hal.structure.identifierPlateforme Métabolome-Fluxome de GFB
dc.contributor.authorJACOB, Daniel
hal.structure.identifierMathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie [MISTEA]
hal.structure.identifierEuropean Research Infrastructure on Highly Pathogenic Agents [ERINHA-AISBL]
dc.contributor.authorDAVID, Romain
hal.structure.identifierDirection pour la Science Ouverte [DipSO]
dc.contributor.authorAUBIN, Sophie
hal.structure.identifierBiologie du fruit et pathologie [BFP]
hal.structure.identifierPlateforme Métabolome-Fluxome de GFB
dc.contributor.authorGIBON, Yves
dc.date.issued2020-12-15
dc.description.abstractEnMaking data compliant with the FAIR Data principles (Findable, Accessible, Interoperable, Reusable) is still a challenge for many researchers, who are not sure which criteria should be met first and how. Illustrated from experimental data tables associated with a Design of Experiments, we propose an approach that can serve as a model for a research data management that allows researchers to disseminate their data by satisfying the main FAIR criteria without insurmountable efforts. More importantly, this approach aims to facilitate the FAIRification process by providing researchers with tools to improve their data management practices.
dc.description.sponsorshipCentre français de phénomique végétale - ANR-11-INBS-0012
dc.description.sponsorshipDéveloppement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovation - ANR-11-INBS-0010
dc.description.sponsorshipParticipation française au GO FAIR Food Systems Implementation Network - ANR-19-DATA-0019
dc.description.sponsorshipModélisation intégrative du fruit pour un système de sélection unifié - ANR-15-CE20-0009
dc.language.isoen
dc.publisherOxford Univ Press
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.enresearch data management
dc.subject.enFAIR Data principles
dc.subject.enResearch Data Management
dc.subject.enexperimental data tables
dc.subject.enFAIR assessment
dc.title.enMaking experimental data tables in the life sciences more FAIR: a pragmatic approach
dc.typeArticle de revue
dc.identifier.doi10.1093/gigascience/giaa144
dc.subject.halInformatique [cs]/Bio-informatique [q-bio.QM]
dc.subject.halSciences du Vivant [q-bio]
dc.description.sponsorshipEuropeProviding an open collaborative space for digital biology in Europe
bordeaux.journalGigaScience
bordeaux.pagegiaa144
bordeaux.volume9
bordeaux.issue12
bordeaux.peerReviewedoui
hal.identifierhal-02883355
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02883355v1
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