From Conceptualization to Implementation: FAIR Assessment of Research Data Objects

Anusuriya Devaraju; Mustapha Mokrane; Linas Cepinskas; Robert  Huber; Patricia  Herterich; Jerry de Vries; Vesa Åkerman; Hervé  L'Hours; Joy  Davidson; Michael Diepenbroek

doi:10.5334/dsj-2021-004

From Conceptualization to Implementation: FAIR Assessment of Research Data Objects

Anusuriya Devaraju (Corresponding author), Mustapha Mokrane, Linas Cepinskas, Robert Huber , Patricia Herterich , Jerry de Vries, Vesa Åkerman, Hervé L'Hours , Joy Davidson , Michael Diepenbroek

DANS-KNAW

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

25 Citations (Scopus)

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.

Original language	English
Journal	Data Science Journal
Volume	20
Issue number	1
DOIs	https://doi.org/10.5334/dsj-2021-004
Publication status	Published - 03 Feb 2021

Keywords

FAIR Principles
Metrics
Data Assessment
FAIRsFAIR
RDA Recommendation

Access to Document

10.5334/dsj-2021-004Licence: CC BY

25 Citations
2 Report
1 Website

FAIR-Aware
Mokrane, M., Cepinskas, L., Åkerman, V., de Vries, J., von Stein, I. & Verburg (Maaike), M. L., 2020
Research output: Non-textual form › Website › Professional

Open Access
FAIRsFAIR Data Object Assessment Metrics
Devaraju, A., Huber, R., Mokrane, M., Herterich, P., Cepinskas, L., de Vries, J., L'Hours, H., Davidson, J. & White, A., 12 Oct 2020, 25 p.
Research output: Book/Report › Report › Scientific

Open Access
M4.9 Report on Fair Data Assessment Mechanisms to Develop Pragmatic Concepts for Fairness Evaluation at the Dataset Level
Devaraju, A., Mokrane, M., Cepinskas, L., Huber, R., Herterich, P., de Vries, J., Åkerman, V., Davidson, J., L'Hours, H. & Diepenbroek, M., 31 Aug 2020, 41 p.
Research output: Book/Report › Report › Scientific

Open Access

1 Finished

FAIRsFAIR
Dillo, I., Grootveld, M. J., von Stein, I., de Vries, J., Coen, G., Leenarts, E., Mokrane, M., van Horik, R., Kalaitzi, V. & Saldner, S.
01/03/2019 → 28/02/2022
Project: Research

1 Talk or presentation

Putting FAIR in practice: FAIR-Aware tool
L. Cepinskas (Speaker)
22 Sept 2020
Activity: Talk or presentation › Academic

File

Cite this

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AU - Cepinskas, Linas

AU - Huber , Robert

AU - Herterich , Patricia

AU - de Vries, Jerry

AU - Åkerman, Vesa

AU - L'Hours , Hervé

AU - Davidson , Joy

AU - Diepenbroek, Michael

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KW - Data Assessment

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KW - RDA Recommendation

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From Conceptualization to Implementation: FAIR Assessment of Research Data Objects

Abstract

Keywords

Access to Document

Fingerprint

Research output

FAIR-Aware

FAIRsFAIR Data Object Assessment Metrics

M4.9 Report on Fair Data Assessment Mechanisms to Develop Pragmatic Concepts for Fairness Evaluation at the Dataset Level

Projects

FAIRsFAIR

Activities

Putting FAIR in practice: FAIR-Aware tool

Cite this