Measuring FAIR Data Compliance in German Energy Research
A Follow-Up Assessment to “Unveiling Openness in Energy Research” Using OpenAlex, F-UJI, and FAIR-Checker
DOI:
https://doi.org/10.52825/ocp.v9i.3302Keywords:
FAIR data, F-UJI, FAIR-Checker, Bibliometrics, Energy Systems Research, Metadata Quality, NFDI4Energy, OpenAlex, Research Data ManagementAbstract
A 2025 study [2] indicated gaps in open publishing practices in the energy systems research domain. In this work, we examine the nature of these gaps by evaluating the quality of published energy-related datasets. Using the FAIR principles as indicators of dataset quality, a set of 384 datasets was evaluated using the automated tools FAIR-Checker and F-UJI. The results show strengths and weaknesses in FAIR principle compliance within the energy domain, providing insights for research data management efforts.
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[1] V.J. Schwanitz, A. Wierling, M.E. Biresselioglu, et al., “Current state and call for action to accomplish findability, accessibility, interoperability, and reusability of low carbon energy data” Sci Rep, vol.12, 2022, doi: https://doi.org/10.1038/s41598-022-08774-0
[2] L. Lu and A. Wein, “Unveiling Openness in Energy Research: A Bibliometric Analysis Focusing on Open Access and Data Sharing Practices,” 2nd NFDI4Energy Conference, Karlsruhe, Mar. 2025, doi: https://doi.org/10.5281/zenodo.15017463
[3] PID4NFDI. “Metadata Support and Assessment.” PID4NFDI Website. https://pid.services.base4nfdi.de/services/metadata-support-assessment/ (2025-11-23)
[4] R. Huber, “FAIRsFAIR Data Object Assessment Metrics,” Zenodo, Mar. 2025, doi: https://doi.org/10.5281/zenodo.15045911
[5] “F-UJI Automated FAIR Data Assessment Tool.” FAIRsFAIR website. https://www.fairsfair.eu/f-uji-automated-fair-data-assessment-tool (2025-11-23)
[6] T. Rosnet, A. Gaignard, M.-D. Devignes. “Welcome to FAIR-Checker’s documentation!” https://fair-checker.france-bioinformatique.fr/docs/index.html (2025-11-23)
[7] M. Windhouwer, R. Siebes, A. Valdestilhas, S. Wang, “Comparing FAIR Assessment Tools and their Alignment with FAIR Implementation Profiles using Digital Humanities Datasets” International Workshop of Semantic Digital Humanities (SemDH), Slovenia, Apr. 2025, doi: https://doi.org/10.5281/zenodo.15261774
[8] C. Sun, V. Emonet, M. Dumontier, “A comprehensive comparison of automated FAIRness Evaluation Tools,” 13th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences, vol. 3127, pp. 44-53, Jan. 2022, https://cris.maastrichtuniversity.nl/ws/portalfiles/portal/151906569/Dumontier-2022-A_comprehensive_comparison_of_automated.pdf
[9] Jason. “OpenAlex rewrite (“Walden”) launch!” OpenAlex blog. https://blog.openalex.org/openalex-rewrite-walden-launch/ (2025-11-3)
[10] S. K. Ahmed, “How to choose a sampling technique and determine sample size for research: A simplified guide for researchers,” Oral Oncology Reports, vol. 12, Dec. 2024, doi: https://doi.org/10.1016/j.oor.2024.100662.
[11] A. Gaignard, T. Rosnet, F. De Lamotte, V. Lefort, M.-D. Devignes, “FAIR-Checker: supporting digital resource findability and reuse with Knowledge Graphs and Semantic Web standards,” Journal of Biomedical Semantics, vol. 14, July 2023, doi: https://doi.org/10.1186/s13326-023-00289-5.
[12] FAIR-Checker. https://fair-checker.france-bioinformatique.fr/check (2025-11-25)
[13] Leibniz Data Manager: https://service.tib.eu/ldm_nfdi4energy/ldmservice/ (2025-12-11)
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Copyright (c) 2026 Linna Lu, Amanda Wein, Oliver Werth

This work is licensed under a Creative Commons Attribution 4.0 International License.
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Deutsche Forschungsgemeinschaft
Grant numbers National Research Data Infrastructure – NFDI4Energy – 501865131