From conceptualization to implementation: FAIR assessment of research data objects

Devaraju, A., Mokrane, M., Cepinskas, L., Huber, R., Herterich, P., de Vries, J., Akerman, V., L’Hours, H., Davidson, J. and Diepenbroek, M. (2021) From conceptualization to implementation: FAIR assessment of research data objects. Data Science Journal, 20, 4. (doi: 10.5334/dsj-2021-004)

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Abstract

Funders and policy makers have strongly recommended the uptake of the FAIR principles in scientific data management. Several initiatives are working on the implementation of the principles and standardized applications to systematically evaluate data FAIRness. This paper presents practical solutions, namely metrics and tools, developed by the FAIRsFAIR project to pilot the FAIR assessment of research data objects in trustworthy data repositories. The metrics are mainly built on the indicators developed by the RDA FAIR Data Maturity Model Working Group. The tools’ design and evaluation followed an iterative process. We present two applications of the metrics: an awareness-raising self-assessment tool and an automated FAIR data assessment tool. Initial results of testing the tools with researchers and data repositories are discussed, and future improvements suggested including the next steps to enable FAIR data assessment in the broader research data ecosystem.

Item Type:Articles
Additional Information:This work was carried out under the FAIRsFAIR project that has received funding from the European Commission’s Horizon 2020 research and innovation programme under grant agreement No 831558.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Davidson, Ms Joy
Authors: Devaraju, A., Mokrane, M., Cepinskas, L., Huber, R., Herterich, P., de Vries, J., Akerman, V., L’Hours, H., Davidson, J., and Diepenbroek, M.
College/School:University Services > Library and Collection Services > Library
Journal Name:Data Science Journal
Publisher:Ubiquity Press Ltd.
ISSN:1683-1470
ISSN (Online):1683-1470
Published Online:03 February 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Data Science Journal 20: 4
Publisher Policy:Reproduced under a Creative Commons License

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