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

Abstract : 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.
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Preprints, Working Papers, ...
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https://hal.inrae.fr/hal-02883355
Contributor : Daniel Jacob <>
Submitted on : Monday, November 23, 2020 - 1:58:45 PM
Last modification on : Tuesday, January 19, 2021 - 9:52:04 PM

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Daniel Jacob, Romain David, Sophie Aubin, Yves Gibon. Towards FAIRification of experimental data tables in life sciences: a pragmatic approach. 2020. ⟨hal-02883355v2⟩

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