FAIR-Aware is an online tool which helps researchers and data managers assess how much they know about the requirements for making datasets findable, accessible, interoperable, and reusable (FAIR) before uploading them into a data repository. The tool comprises 10 questions which extend users' understanding of the FAIR principles as they work through the questionnaire. The tool is available in English and French. It is hosted by DANS and Doranum. FAIR-Aware has been developed by FAIRsFAIR partners DANS, DCC, and UniHB. The FAIRsFAIR project partners and supporters would like invite everyone working with research data to use the tool.
The interim report was published in September 2020:
A. Devaraju, M. Mokrane, L. Cepinskas, R. Huber, P. Herterich, J. de Vries, V. Akerman, J. Davidson, H. L'Hour, M.Diepenbroek (2020). M4.9 Report on Fair Data Assessment Mechanisms to Develop Pragmatic Concepts for Fairness Evaluation at the Dataset Level (Version 1.0). Zenodo. https://doi.org/10.5281/zenodo.4118404