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Guide pour la FAIRisation des données des corpus d'auteurs préparé par Fatiha Idmhand et Ioana Galleron pour le [Groupe de travail Data_Cahier]

Abstract : The FAIR (Findability, Accessibility, Interoperability and Reusability) principles define a minimum set of principles that enable machines and humans to find, access, interoperate and reuse research data and metadata. The FAIR principles should be viewed as good practices that facilitate reuse of research data and results. The CAHIER consortium and its members recommend and implement these good practices. In a project life, the deposit of data (4) for archiving is usually managed at the end of the project chain, after collection (1), processing (2) and analysis (3). The repository contributes to make the results sustainable and to highlight the results. For each phase of a project's life cycle, the Huma-Num infrastructure offers different tools: CAHIER consortium uses Nakala to store its data so that they can be found, accessed, interoperable and reusable. This short guide describes the process implemented in CAHIER to make its data "FAIR". It is organized in four steps: 1° Assess the degree of openness of its projects 2° Compare its metadata with the consortium's expectations 3° Complete and correct the metadata if necessary 4° Deposit on Nakala, obtain a perennial identifier and associate it with the documents published on its own website (or on an institutional website).
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https://halshs.archives-ouvertes.fr/halshs-02889777
Contributor : Fatiha Idmhand <>
Submitted on : Wednesday, July 22, 2020 - 10:41:51 AM
Last modification on : Friday, January 22, 2021 - 4:21:43 PM

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  • HAL Id : halshs-02889777, version 1

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Idmhand Fatiha, Ioana Galleron. Guide pour la FAIRisation des données des corpus d'auteurs préparé par Fatiha Idmhand et Ioana Galleron pour le [Groupe de travail Data_Cahier]. [Rapport de recherche] Huma-Num. 2020. ⟨halshs-02889777⟩

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