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Abstract/Summary
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This paper explores the adoption and assessment of FAIR (Findable, Accessible, Interoperable, Reusable) principles within the PID registration service of KonsortSWD under the National Research Data Infrastructure Germany (NFDI). Employing the Research Data Alliance - FAIR Data Maturity Model (RDA-FDMM) and the F-UJI Data Assessment Tool presents a dual approach combining manual and automated assessments to measure FAIR compliance. The study underscores the challenges of FAIR principles' broad interpretability and the diversity of research outputs, advocating for a hybrid evaluation encompassing both machine-readable and non-machine-readable elements. Through the analysis, the paper presents insights into the efficacy of current tools and methodologies for FAIR assessment, reporting the limitations of automated tools and the critical role of comprehensive manual evaluation. The paper concludes with recommendations for improving automated scores in the tool used. It highlights the necessity of a 'FAIR by design' approach from the beginning of a project or service development to ensure the embedding of FAIR principles in research outcomes.
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