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FAIRsFAIR Data Object Assessment Metrics

  • Anusuriya Devaraju
  • , Robert Huber
  • , Mustapha Mokrane
  • , Patricia Herterich
  • , L. Cepinskas
  • , Jerry de Vries
  • , Herve L'Hours
  • , Joy Davidson
  • , Angus White

Research output: Book/Report › Report › Scientific

Abstract

This specification (v0.4) contains 17 core metrics proposed by FAIRsFAIR to evaluate the FAIRness of research data objects in Trustworthy Digital Repositories (TDRs). Two new metrics representing the FAIR principle A1 have been added into the specification. Metric descriptions (e.g., related resources, comments) were refined based on feedback received from external users and pilot repositories.
Original languageEnglish
Number of pages25
DOIs
Publication statusPublished - 12 Oct 2020

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  • From Conceptualization to Implementation: FAIR Assessment of Research Data Objects

    Devaraju, A. (Corresponding author), Mokrane, M., Cepinskas, L., Huber , R., Herterich , P., de Vries, J., Åkerman, V., L'Hours , H., Davidson , J. & Diepenbroek, M., 03 Feb 2021, In: Data Science Journal. 20, 1

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

    Open Access
    41 Citations (Scopus)

  • FAIRsFAIR

    Dillo, I. (Supervisor), Grootveld, M. J. (Collaborator), von Stein, I. (PI), de Vries, J. (Collaborator), Coen, G. (Collaborator), Leenarts, E. (Collaborator), Mokrane, M. (Collaborator), van Horik, R. (Collaborator), Kalaitzi, V. (Collaborator) & Saldner, S. (PI)

    01/03/2019 → 28/02/2022

    Project: Research

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