Textes fondateurs, recommandations et autres lectures à propos des principes FAIR

  • Wilkinson, M.D., Dumontier, M., Aalbersberg , Ij.J ., et al., 2016. The FAIR Guiding Principles for scientific data management and stewardship . Scientific Data 3, 160018. https://doi.org/10.1038/sdata.2016.18 (texte fondateur)
  • La liste des principes FAIR en français.
  • European Commission. Directorate General for Research and Innovation. & EOSC Executive Board,. (2020). Six Recommendations for implementation of FAIR practice by the FAIR in practice task force of the European open science cloud FAIR working group. Publications Office. https://doi.org/10.2777/986252
  • David, R., Mabile, L., Specht, A., Stryeck, S., Thomsen, M., Yahia, M., Jonquet, C., Dollé, L., Jacob, D., Bailo, D., Bravo, E., Gachet, S., Gunderman, H., Hollebecq, J.-E., Ioannidis, V., Le Bras, Y., Lerigoleur, E., Cambon-Thomsen, A. and the Research Data Alliance–SHAring Reward and Credit (SHARC) Interest Group (2020). FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles. Data Science Journal, 19(1), p.32. DOI: http://doi.org/10.5334/dsj-2020-032
  • David Romain, Mabile Laurence, Specht Alison, Stryeck Sarah, Thomsen Mogens, Yahia Mohamed, … SHAring Reward & Credit (SHARC) Interest Group. (2020). Implementing FAIR in data sharing: who are the actors and what are their responsibilities? (Version V1.0). Zenodo. http://doi.org/10.5281/zenodo.3743946

Autour des vocabulaires FAIR

  • Emna Amdouni, Syphax Bouazzouni, Clement Jonquet. O’FAIRe: Ontology FAIRness Evaluator in the AgroPortal semantic resource repository. ESWC 2022 – 19th Extended Semantic Web Conference, Poster and demonstration., May 2022, Hersonissos, Greece.⟨lirmm-03630543v1⟩
  • Catherine Roussey, Xavier Delpuech, Florence Amardeilh, Stephan Bernard, Clement Jonquet. Semantic Description of Plant Phenological Development Stages, starting with Grapevine. 14th international conference on Metadata and Semantics Research Conference (MTSR), Dec 2020, Madrid, Spain. pp.257-268, ⟨10.1007/978-3-030-71903-6_25⟩. ⟨hal-02996846⟩ an online version is available at https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7971820/
  • Catherine Roussey, Xavier Delpuech, Marc Raynal, Florence Amardheil, Stéphan Bernard et Clement Jonquet. Description sémantique des stades de développement phénologique des plantes, cas d’étude de la vigne. Dans les actes de la conférence journées d’Ingénierie des Connaissances IC 2021 du 30 juin au 2 juillet 2021 Bordeaux. https://hal-emse.ccsd.cnrs.fr/emse-03260085
  • Majid Khayari, Véronique Reszetko, Dominique Vachez, Nathalie Vedovotto, Jérémy Yon, et al.. De TermSciences à Loterre : comment l’Inist-CNRS a rendu les terminologies ouvertes plus conformes aux principes FAIR. 2021, ⟨10.15454/djh8-yp20⟩. ⟨hal-03176063⟩
  • Wyborn, Lesley, Hodson, Simon, Guru, Siddeswara, O’Brien, Margaret, David, Romain, Specht, Alison, & Stall, Shelley. (2021, April). PARSEC: Vocabularies need to be trusted and usable. Zenodo. http://doi.org/10.5281/zenodo.4705129  This session was organized as a co-located meeting during RDS Plenary 17 in support of the PARSEC project
  • Cox, S. J. D., Gonzalez-Beltran, A. N., Magagna, B., & Marinescu, M.-C. (2021). Ten simple rules for making a vocabulary FAIR. PLoS Computational Biology, 17(6), e1009041. https://doi.org/10.1371/journal.pcbi.1009041

Autour des données FAIR

  • Jacob, D., David, R., Aubin, S., & Gibon, Y. (2020). Making experimental data tables in the life sciences more FAIR: a pragmatic approach. GigaScience, 9(12). https://doi.org/10.1093/gigascience/giaa144, https://hal.inrae.fr/hal-02883355
  • Pierre Larmande, Tagny Gildas, Manuel Ruiz, AgroLD: une base de connaissances pour l’étude du phénome des plantes cultivées. EGC 2021.  Demo paper. https://hal.archives-ouvertes.fr/hal-03107587

Autres lectures