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Application Profile for Machine-Actionable Data Management Plans Cover

Application Profile for Machine-Actionable Data Management Plans

Data Science Journal
Volume 20 (2021): Issue 1
By: Tomasz Miksa,  Paul Walk,  Peter Neish,  Simon Oblasser,  Hollydawn Murray,  Tom Renner,  Marie-Christine Jacquemot-Perbal,  João Cardoso,  Trond Kvamme,  Maria Praetzellis,  Marek Suchánek,  Rob Hooft,  Benjamin Faure,  Hanne Moa,  Adil Hasan and  Sarah Jones  
Open Access
|Oct 2021

References

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  13. 13Jones, S, Pergl, R, Hooft, R, Miksa, T, Samors, R, Ungvari, J, Davis, RI and Lee, T. 2020. Data management planning: How requirements and solutions are beginning to converge. Data Intelligence, 2(1–2): 208–219. DOI: 10.1162/dint_a_00043
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  19. 19Miksa, T, Simms, S, Mietchen, D and Jones, S. 2019. Ten principles for machine-actionable data management plans. PLOS Computational Biology, 15(3): 1–15. DOI: 10.2218/ijdc.v12i1.529
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  20. 20Miksa, T, Walk, P and Neish, P. 2019. RDA DMP Common Standard for Machine-actionable Data Management Plans. DOI: 10.1371/journal.pcbi.1006750
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  21. 21Oblasser, S. 2019. Machine-actionable dmp application (dmap). The slides are based on a live demo given at RDA 14th Plenary taking place in Helsinki between 22–25 October 2019. Further session material can be found here: https://www.rd-alliance.org/p14-helsinki-slides. DOI: 10.5281/zenodo.3522247
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  22. 22Oblasser, S. 2020. oblassers/dmap-mockups: Dmap mockups. DOI: 10.5281/zenodo.3630375
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  25. 25Pergl, R, Hooft, R, Suchánek, M, Knaisl, V and Slifka, J. 2019. Data Stewardship Wizard: A Tool Bringing Together Researchers, Data Stewards, and Data Experts around Data Management Planning. Data Science Journal, 18(1). DOI: 10.5334/dsj-2019-059
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  26. 26Pichler, M. 2019. martinpichler/dmp-roadmap-parser: Release version 0.1. DOI: 10.5281/zenodo.3250398
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  27. 27Renner, T. 2020. Turbo-charging data management plans. DOI: 10.5281/zenodo.3673058
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  29. 29Simms, S, Jones, S, Mietchen, D and Miksa, T. 2017. Machine-actionable data management plans (madmps). Research Ideas and Outcomes, 3: e13086. DOI: 10.3897/rio.3.e13086
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  30. 30Simms, SR, Jones, S, Miksa, T, Mietchen, D, Simons, N and Unsworth, K. 2018. A landscape survey of activedmps. IJDC, 13(1): 204–214. DOI: 10.2218/ijdc.v13i1.629
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  31. 31Smale, N, Unsworth, K, Denyer, G and Barr, D. 2018. The history, advocacy and efficacy of data management plans. bioRxiv. URL: https://www.biorxiv.org/content/early/2018/10/17/443499. DOI: 10.1101/443499
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  32. 32Tsepelakis, S. 2020. SotosTsepe/invenio-madmp: First pre-alpha release of invenio-madmp. DOI: 10.5281/zenodo.3733268
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DOI: https://doi.org/10.5334/dsj-2021-032 | Journal eISSN: 1683-1470
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Language: English
Submitted on: Jul 14, 2020
Accepted on: Oct 12, 2021
Published on: Oct 26, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
application profile,
maDMPs,
common standard,
machine actionable,
RDA

© 2021 Tomasz Miksa, Paul Walk, Peter Neish, Simon Oblasser, Hollydawn Murray, Tom Renner, Marie-Christine Jacquemot-Perbal, João Cardoso, Trond Kvamme, Maria Praetzellis, Marek Suchánek, Rob Hooft, Benjamin Faure, Hanne Moa, Adil Hasan, Sarah Jones, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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