References
- Candela, L., Mangione, D. and Pavone, G. (2024) ‘The FAIR Assessment Conundrum: Reflections on Tools and Metrics’, Data Science Journal, 23(33). Available at: 10.5334/dsj-2024-033
- Devaraju, A. and Huber, R. (2020) ‘F-UJI – An Automated FAIR Data Assessment Tool’, Zenodo. Available at: 10.5281/zenodo.6361400
- Devaraju, A., Huber, R., Mokrane, M., Herterich, P., Cepinskas, L., de Vries, J., L’Hours, H., Davidson, J. and White, A. (2020) ‘FAIRsFAIR Data Object Assessment Metrics (0.4)’, Zenodo. Available at: 10.5281/zenodo.4081213
- European Commission. (2024, October). FAIR to Adapt to Climate Change (FAIR2Adapt), European Commission. Available at: 10.3030/101188256 (Accessed 14 February 2026).
- FAIRification Framework. (n.d.). Fairification Framework Architecture. Available at:
https://fairification-framework.readthedocs.io/en/latest/architecture/ (Accessed: August 11, 2025). - FAIRmetrics and FAIRsharing. (n.d.). FAIR Evaluation Services. FAIRsharing. Available at:
https://fairsharing.github.io/FAIR-Evaluator-FrontEnd (Accessed: June 26, 2025). - FAIRsharing. (n.d.). Tools. FAIRassist. Available at:
https://fairassist.org/tools (Accessed: August 11, 2025). - Gaignard, A., Rosnet, T., de Lamotte, F., Lefort, V. and Devignes, M. (2023). ‘FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards’, Journal of Biomedical Semantics, 14, 7. Available at: 10.1186/s13326-023-00289-5
- Gargio, D. (n.d.). Architecture: FAIR-IF. OS Trails. Available at:
https://docs.ostrails.eu/en/update-restructure/architecture/fair_if.html#fair-reference-model-conceptual-components (Accessed: August 11, 2025). - GO FAIR Foundation. (n.d.-a). FIP Wizard (Version 4.0). Available at:
https://fip.fair-wizard.com/ - GO FAIR Foundation. (n.d.-b). FSR Curation. GitHub. Available at:
https://github.com/gofair-foundation/fsr_curation - GO FAIR Foundation. (n.d.-c). Interpreting FAIR. Available at:
https://www.gofair.foundation/interpretation (Accessed: August 11, 2025). - GO FAIR US. (2025). FIP-Check. GitHub. Available at:
https://github.com/go-fair-us/fip-check - Hoebelheinrich, N.J., Graybeal, J., Kherroubi, I.G., Christopher, J., Christopher, E. and Kirkpatrick, C. (2025). ‘A persona-specific method to assess the FAIRness of data repositories’, [Preprint]. Zenodo. Available at: 10.5281/zenodo.13992885
- Jacobsen, A., de Miranda Azevedo, R., Juty, N., Batista, D., Coles, S., Cornet, R., Courtot, M., Crosas, M., Dumontier, M., Evelo, C.T., Goble, C., Guizzardi, G., Kryger Hansen, K., Hasnain, A., Hettne, K., Heringa, J., Hooft, R.W.W., Imming, M., Jeffery, K.G., Kaliyaperumal, R., Kersloot, M.G., Kirkpatrick, C.R., Kuhn, T., Labastida, I., Magagna, B., McQuilton, P., Meyers, N., Montesanti, A., van Reisen, M., Rocca-Serra, P., Pergl, R., Sansone, S.-A., da Silva Santos, L.O.B., Schneider, J., Strawn, G., Thompson, M., Waagmeester, A., Weigel, T., Wilkinson, M.D., Willighagen, E.L., Wittenburg, P., Roos, M., Mons, B. and Schultes, E. (2020) ‘FAIR Principles: Interpretations and Implementation Considerations’, Data Intelligence, 2(1–2), pp. 10–29. Available at: 10.1162/dint_r_00024
- Kang, S., Graybeal, J. and Kirkpatrick, C.R. (2026a). FIP Check Figure 1. figshare. Figure. Available at: 10.6084/m9.figshare.31267960.v1
- Kang, S., Graybeal, J. and Kirkpatrick, C.R. (2026b). FIP Check Figure 2. figshare. Figure. Available at: 10.6084/m9.figshare.31267981.v1
- Kang, S., Graybeal, J. and Kirkpatrick, C.R. (2026c). FIP Check Appendix 2. figshare. Figure. Available at: 10.6084/m9.figshare.31258945.v1
- Kang, S., Graybeal, J. and Kirkpatrick, C.R. (2026d). FIP Check Appendix 3. figshare. Figure. Available at: 10.6084/m9.figshare.31267312.v1
- Kang, S., Graybeal, J. and Kirkpatrick, C.R. (2026e). FIP Check Appendix 4. figshare. Figure. Available at: 10.6084/m9.figshare.31267366.v1
- Maastricht University. (n.d.). FAIR enough. Available at:
https://fair-enough.semanticscience.org/ (Accessed: August 12, 2025). - Magagna, B., Schultes, E., Fouilloux, A., Burger, G., Devriendt, D., Bramley, R., Kuhn, T., Moreira, J.L.R., da Silva Santos, L.O.B. and Pires, L.F. (2024) ‘Ontological Analysis of FAIR Supporting Resources’, FOAM: FAIR Principles for Ontologies and Metadata in Knowledge Management Workshop, JOWO 2024, Enschede. Available at:
https://ceur-ws.org/Vol-3882/foam-5.pdf . 10.52825/ocp.v5i.1417 - National Institute of Allergy and Infectious Diseases. (2024) Data Landscaping Project Aims to Make NIAID Data More Accessible, Promote Reuse. Available at:
https://www.niaid.nih.gov/research/data-landscaping-project (Accessed: 13 January 2026). - Peterseil, J., Offenthaler, I., Wohner, C., Magagna, B., Schultes, E., Lund Myhre, C., Jeffery, K., Bailo, D., Dobler, D., Portier, M., Dema, C., Vaira, L. and Rosati, I. (2023) ‘ENVRI-FAIR D5.6: Synthesis and future strategy (1.1)’, Zenodo. Available at: 10.5281/zenodo.10363036
- Schultes, E., Magagna, B., Hettne, K.M., Pergl, R., Suchánek, M. and Kuhn, T. (2020).
‘Reusable FAIR Implementation Profiles as Accelerators of FAIR Convergence’ , in G. Grossmann, S. Ram (eds.) Advances in Conceptual Modeling. ER 2020. Lecture Notes in Computer Science, vol 12584. Springer, Cham. Available at: 10.1007/978-3-030-65847-2_13 - Wilkinson, M.D., Dumontier, M., Aalbersberg, I.J.J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L.B., Bourne, P.E., Bouwman, J., Brookes, A.J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C.T., Finkers, R., Gonzalez-Beltran, A., Gray, A.J.G., Groth, P., Goble, C., Grethe, J.S., Heringa, J., ’t Hoen, P.A.C., Hooft, R., Kuhn, T., Kok, R., Kok, J., Lusher, S.J., Martone, M.E., Mons, A., Packer, A.L., Persson, B., Rocca-Serra, P., Roos, M., van Schaik, R., Sansone, S.-A., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz, M.A., Thompson, M., van der Lei, J., van Mulligen, E., Velterop, J., Waagmeester, A., Wittenburg, P., Wolstencroft, K., Zhao, J. and Mons, B. (2016) ‘The FAIR Guiding Principles for scientific data management and stewardship’, Scientific Data, 3, p. 160018. Available at: 10.1038/sdata.2016.18
