FAIREST Metrics and Assessment Data

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 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