publication . Report . Other literature type . 2020

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

Devaraju, Anusuriya; Mokrane, Mustapha; Cepinskas, Linas; Huber, Robert; Herterich, Patricia; Vries, Jerry De; Akerman, Vesa; Davidson, Joy; L'Hour, Hervé; Diepenbroek, Michael;
Open Access English
  • Published: 31 Aug 2020
Abstract
This report is a milestone of the FAIRsFAIR project. It includes two main results on FAIR assessment at the dataset level: The FAIRsFAIR Data Object Assessment Metrics (v0.3) specification contains 15 metrics proposed by FAIRsFAIR to evaluate the FAIRness of research data objects in Trustworthy Digital Repositories (TDRs). We improved the metrics based on a focus group's feedback and the RDA-endorsed FAIR data maturity model guidelines and specification. A total of 33 FAIR stakeholders, such as research communities, data service providers, standard bodies, and coordination fora participated in the focus group. A preprint of the journal article titled ‘From Conce...
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doi: 10.5281/zenodo.4118405 , 10.5281/zenodo.3934401 , 10.5281/zenodo.4118404
Subjects
free text keywords: FAIR Principles, FAIR Data Assessment, FAIR Certification, FAIR Metrics, FAIRsFAIR, CoreTrustSeal, Research Data Management
Funded by
EC| FAIRsFAIR
Project
FAIRsFAIR
Fostering FAIR Data Practices in Europe
  • Funder: European Commission (EC)
  • Project Code: 831558
  • Funding stream: H2020 | CSA
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ZENODO
Report . 2020
Provider: ZENODO
Zenodo
Other literature type . 2020
Provider: Datacite
Zenodo
Other literature type . 2020
Provider: Datacite
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