FAIREST Metrics and Assessment Data

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Datum
2021-11-08 00:00:00
Herausgeber:innen
Autor:innen
d’Aquin, Mathieu
Kirsten, Fabian
Schimmler, Sonja
Oliveira, Daniela
Urbanek, Sebastian
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Verlag
zenodo
Zusammenfassung

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.

    1. 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
      • – Academia.edu
      • – 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

Beschreibung
Schlagwörter
Research Repositories \ FAIR Principles \ Open Access \ Research Data
Verwandte Ressource
Zitierform
Mathieu d'Aquin, Fabian Kirsten, Daniela Oliveira, Sonja Schimmler, & Sebastian Urbanek. (2021). FAIREST Metrics and Assessment Data (1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5282929