Towards FAIRification of experimental data tables in life sciences: a pragmatic approach - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Pré-Publication, Document De Travail Année : 2020

Towards FAIRification of experimental data tables in life sciences: a pragmatic approach

Résumé

Making 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.
Fichier principal
Vignette du fichier
PREPRINT_ODAM.pdf (693.59 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02883355 , version 1 (29-06-2020)
hal-02883355 , version 2 (23-11-2020)
hal-02883355 , version 3 (16-12-2020)
hal-02883355 , version 4 (07-01-2021)

Identifiants

Citer

Daniel Jacob, Romain David, Sophie Aubin, Yves Gibon. Towards FAIRification of experimental data tables in life sciences: a pragmatic approach. 2020. ⟨hal-02883355v1⟩
312 Consultations
158 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More