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

10Citations
Citations of this article
36Readers
Mendeley users who have this article in their library.

This article is free to access.

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 with experimental data tables associated with a Design of Experiments, we propose an approach that can serve as a model for 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 FAIR compliance process by providing researchers with tools to improve their data management practices.

Cite

CITATION STYLE

APA

Jacob, D., David, R., Aubin, S., & Gibon, Y. (2021, December 1). Making experimental data tables in the life sciences more FAIR: A pragmatic approach. GigaScience. Oxford University Press. https://doi.org/10.1093/gigascience/giaa144

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free