FAIR Digital Object Assessment and Acceleration Approaches at the World Data System
DOI:
https://doi.org/10.52825/ocp.v5i.1203Keywords:
FAIR Data, Digital Object, Data Repositories, Persistent Identifier, Metadata AsessmentAbstract
After outlining the structure and mission of the World Data System (WDS), our presentation at the FDO Summit Berlin describes how the WDS provides a multi-faceted approach to accelerating FAIR Digital Objects (FDOs) by evaluating, reusing and extending previous FAIRification work, and by providing testbeds to improve automation and prioritization. Based on feedback from planned knowledge transfer and dissemination activities, FAIR Implementation Profiles (FIPs) and FAIR Enabling Resources (FERs) can be evaluated to improve interoperability between repositories that should have a comprehensive metadata schema.
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References
FAIR Data Maturity Model Working Group, “FAIR Data Maturity Model. Specification and Guidelines,” v1.0. Zenodo. 2020, https://doi.org/10.15497/rda00050
A. Devaraju, R. Huber, “F-UJI - An Automated FAIR Data Assessment Tool,” v1.0.0, Ze-nodo. 2020, https://doi.org/10.5281/zenodo.4063720.
G. Peng, “Finding harmony in FAIRness”, Eos, vol.104, June 2023, https://doi.org/10.1029/2023EO230216.
E. Schultes, B. Magagna, K.M. Hettne, R. Pergl, M. Suchánek, T. Kuhn, “Reusable FAIR Implementation Profiles as Accelerators of FAIR Convergence” in Advances in Conceptu-al Modeling, Lecture Notes in Computer Science, vol.12584, Springer, Cham, 2020, https://doi.org/10.1007/978-3-030-65847-2_13.
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Copyright (c) 2025 Reyna Jenkyns
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Alliance de recherche numérique du Canada
Grant numbers World Data System International Technology Office