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The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments Cover

The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments

Open Access
|Oct 2020

References

  1. Bahim, C, Dekkers, M and Wyns, B. 2019. Results of an Analysis of Existing FAIR Assessment Tools. Research Data Alliance. DOI: 10.15497/RDA00035
  2. Commission, E. 2018. Establishing Horizon Europe – the Framework Programme for Research and Innovation, laying down its rules for participation and dissemination. Retrieved from EU law – EUR-Lex: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52018PC0435.
  3. FAIR Data Maturity Model Working Group. 2020. FAIR Data Maturity Model: specification and guidelines. Research Data Alliance. DOI: 10.15497/RDA00050
  4. FAIR Principles – GO FAIR. n.d. Retrieved from GO FAIR: https://www.go-fair.org/fair-principles/.
  5. Lightsom, F. 2019, May 30. Building a Roadmap for Making Data FAIR in the U.S. Geological Survey: A 2019 CDI Project. Retrieved from USGS: https://my.usgs.gov/confluence/display/cdi/Building+a+Roadmap+for+Making+Data+FAIR+in+the+U.S.+Geological+Survey%3A+A+2019+CDI+Project.
  6. The FAIR Data Principles|FORCE 11. n.d. Retrieved from Force 11|The future of research communications and e-scholarship: https://www.force11.org/group/fairgroup/fairprinciples.
  7. Wilkinson, MD, Dumontier, M and Aalbersberg, IJ. 2016. The FAIR Guiding Principles for scientific data management and stewardship. DOI: 10.1038/sdata.2016.18
Language: English
Submitted on: Jul 13, 2020
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Accepted on: Oct 19, 2020
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Published on: Oct 27, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2020 Christophe Bahim, Carlos Casorrán-Amilburu, Makx Dekkers, Edit Herczog, Nicolas Loozen, Konstantinos Repanas, Keith Russell, Shelley Stall, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.