Automating assessment of the FAIR Principles for Research Software (FAIR4RS)
Description
Slides from our mini-workshop at CW24.
Abstract: A comprehensive set of metrics have been developed by the FAIR IMPACT project to assess the FAIRness (Findability, Accessibility, Interoperability and Reusability) of research software based on the FAIR4RS principles. We extended the data FAIR assessment tool F-UJI (https://github.com/pangaea-data-publisher/fuji) with tests for these software-specific metrics. Some of these tests have been designed to be discipline-specific, as we expect different communities to implement each metric in ways that represent their community norms and standards. In this session, we will demonstrate the tool and focus on a handful of metrics. We will discuss what practical tests for these metrics should look like for different disciplines. Your contributions will shape the implementation of further discipline-specific tests in F-UJI, and after the workshop, you will have a better understanding of how to make your software FAIR.
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CW24-FAIR-workshop.pdf
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Additional details
References
- Chue Hong, N. P., Katz, D. S., Barker, M., Lamprecht, A.-L., Martinez, C., Psomopoulos, F. E., Harrow, J., Castro, L. J., Gruenpeter, M., Martinez, P. A., Honeyman, T., Struck, A., Lee, A., Loewe, A., van Werkhoven, B., Jones, C., Garijo, D., Plomp, E., Genova, F., … RDA FAIR4RS WG. (2022). FAIR Principles for Research Software (FAIR4RS Principles) (1.0). Zenodo. https://doi.org/10.15497/RDA00068
- Chue Hong, N., Breitmoser, E., Antonioletti, M., Davidson, J., Garijo, D., Gonzalez-Beltran, A., Gruenpeter, M., Huber, R., Jonquet, C., priddy, M., Shepeherdson, J., Verburg, M., & Wood, C. (2023). D5.2 - Metrics for automated FAIR software assessment in a disciplinary context (1.0 - DRAFT not yet approved by the European Commission). Zenodo. https://doi.org/10.5281/zenodo.10047401