Published November 8, 2021 | Version 1.0.0
Dataset Open

FAIREST Metrics and Assessment Data

  • 1. LORIA, Université de Lorraine, Nancy, France
  • 2. Fraunhofer FOKUS and Weizenbaum Institute for the Networked Society, Berlin, Germany
  • 3. LaSIGE, Faculdade de Ciêcias, Universidade de Lisboa, Portugal


This data supplements the article “FAIREST: A Framework for Assessing Research Repositories”.

In the article, we introduce the FAIREST principles, an extension of the well-known FAIR principles. Along these principles, we provide comprehensive metrics for assessing and selecting solutions for building digital repositories for research artefacts. The metrics are based on two pillars:

(1) an analysis of established features and functionalities, drawn from existing solutions, 
(2) a literature review on general requirements for digital repositories for research artefacts and related systems.

We further describe an assessment of 11 widespread solutions, with the goal to provide an overview of the current landscape of research data repository solutions, identifying gaps and research challenges to be addressed:

The solutions are:

  • ResearchGate
  • Zenodo
  • arXiv
  • Bibsonomy
  • Figshare
  • CKAN
  • DSpace
  • Invenio
  • Dataverse
  • EPrints

Overview of the data:

01 FAIREST Assessment Metrics and Solutions (All-in-one).xlsx
This Excel file includes both the assessment metrics and the results for the 11 solutions

02 FAIREST Assessment Metrics.csv
The assessment metrics as CSV

XX FAIREST Assessment XXX.csv
Assessment result for the respective solution

14 FAIREST Assessment Template.xlsx
A template to apply the metrics to an individual solution
Note: Fill in your assessment in column F and get the result at the bottom of the sheet



This research was supported by the Fundação para a Ciência e a Tecnologia through the LASIGE Research Unit, UIDB/00408/2020 and UIDP/00408/2020. This work was supported by the Federal Ministry of Education and Research of Germany (BMBF) under grant no. 16DII12 ("Deutsches Internet-Institut").


02 FAIREST Assessment Metrics.csv

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