FAIR Assessment Practices
Experiences From KonsortSWD and BERD@NFDI
DOI:
https://doi.org/10.52825/cordi.v1i.344Keywords:
FAIR principles, FAIR assessment, RDA FAIR Data Maturity Model, Automated FAIR assessment toolAbstract
The poster presents FAIR assessment experiences in the context of the two NFDI consortia KonsortSWD and BERD@NFDI, employing the established Research Data Alliance's FAIR Data Maturity Model (RDA-FDMM) and the F-UJI Tool, an automated solution. RDA-FDMM, a manual technique, is more comprehensive, while the automated F-UJI tool effectively detects areas of improvement in metadata presentation that automated means can address. Our experiences highlight the need to examine both machine-readable as well as non-machine-readable elements and acknowledge automated tools' limitations, while valuing their insights. As the research ecosystem advances, metadata representation should be made increasingly machine-readable. We recommend a "FAIR by design" approach from the beginning to ensure alignment with FAIR principles in project outcomes. Continuous assessments during a project’s lifetime promote ongoing research data infrastructure improvements within the NFDI consortia context, contributing to NFDI infrastructure innovation and optimization.
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Copyright (c) 2023 Janete Saldanha Bach , Fidan Limani, Yudong Zhang, Atif Latif, Brigitte Mathiak, Peter Mutschke
This work is licensed under a Creative Commons Attribution 4.0 International License.
Accepted 2023-06-30
Published 2023-09-07
Funding data
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Deutsche Forschungsgemeinschaft
Grant numbers 442494171;460037581
