Data FAIRification in a cross-institutional governance framework : recommendations from the ANR-BRIDGE project - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Conference Poster Year : 2022

Data FAIRification in a cross-institutional governance framework : recommendations from the ANR-BRIDGE project

Luc Decker

Abstract

Open science is a priority for the European Commission, fostering research data management policies and infrastructures. In France, the Second National Plan for Open Science aims to ensure that open science becomes a common and shared practice, encouraged by the entire international ecosystem of higher education, research, and innovation. One challenge is that French research is mainly organized into joint research units: within a same laboratory, project or publication datasets can be managed by different research organizations, necessitating choosing between several institutional and disciplinary data repositories that can cause data scattering. In addition to these repositories, the French Ministry of Research is building a national federated data repository: Recherche Data Gouv, as part of its Open Science Plan. In this context, three French research organizations, each maintaining an institutional data repository based on Dataverse software, initiated the BRIDGE project funded by the French National Research Agency following a special Open Science call...
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hal-03758083 , version 1 (05-04-2023)

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Pascal Aventurier, Michael Alaux, Céline Barthélémy, Pascal Bonnet, Hugo Catherine, et al.. Data FAIRification in a cross-institutional governance framework : recommendations from the ANR-BRIDGE project. RDA 19th Plenary meeting, part of International Data Week, Jun 2022, Seoul, South Korea. , 2022, ⟨10.5281/zenodo.6652404⟩. ⟨hal-03758083⟩
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