Turning Machine-Actionable DMPs Into FAIR Digital Objects
DOI:
https://doi.org/10.52825/ocp.v5i.1160Keywords:
maDMPs, RDA, maDMP Store, Machine-Actionable, RDMAbstract
This paper discusses possible changes to the machine-actionable Data Management Plans specification and ecosystem of services to enable compatibility with the FDO architecture, as defined by the DONA foundation.
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T. Miksa, S. Oblasser, and A. Rauber, “Automating research data management using machine-actionable data management plans,” ACM Transactions on Management Information Systems, vol. 13, no. 2, Dec. 2021, ISSN: 2158-656X. DOI: 10.1145/3490396. [Online]. Available: https://doi.org/10.1145/3490396.
T. Miksa, P. Walk, and P. Neish, RDA DMP Common Standard for Machine-actionable Data Management Plans, Sep. 2020. DOI: 10.15497/rda00039. [Online]. Available: https://doi.org/10.15497/rda00039.
T. Miksa, S. Simms, D. Mietchen, and S. Jones, “Ten Principles for Machine-actionable Data Management Plans,” PLoS computational biology, vol. 15, no. 3, e1006750, 2019. DOI: https://doi.org/10.1371/journal.pcbi.1006750.
J. Cardoso, L. J. Castro, and T. Miksa, “Interconnecting Systems Using Machine-Actionable Data Management Plans – Hackathon Report,” CODATA Data Science Journal, vol. 20, 2021. DOI: 10.5334/dsj-2021-035.
T. Miksa, P. Walk, P. Neish, et al., “Application profile for machine-actionable data management plans,” CODATA Data Science Journal, vol. 20, no. 1, p. 32, Oct. 2021. DOI:10.5334/dsj-2021-032.
T. Miksa, M. Suchanek, J. Slifka, et al., “Towards a toolbox for automated assessment of machine-actionable data management plans,” Data Science Journal, Aug. 2023. DOI: 10.5334/dsj-2023-028.
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Copyright (c) 2025 Tomasz Miksa
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Österreichische Forschungsförderungsgesellschaft
Grant numbers SBA-K1