Background reading:
In preparation of the course, please read the original FAIR Guiding Principles article (Mark D. Wilkinson et al. The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data volume 3, Article number: 160018 (2016)) as well as the “How to GO FAIR” web pages.
Other interesting reads are:
- GO FAIR’s “FAIR principles” webpage incl. guidelines to improve the FAIRness of digital objects
- Karsten Kryger Hansen, Mareike Buss, & Lea Sztuk Haahr. A FAIRy tale, 13 December 2018. Zenodo: http://doi.org/10.5281/zenodo.2248200
- Barend Mons. Invest 5% of research funds in ensuring data are reusable. Nature 578, 491 (2020), https://doi.org/10.1038/d41586-020-00505-7
- Magagna, B, et al. 2020. Reusable FAIR Implementation Profiles as Accelerators of FAIR Convergence: https://link.springer.com/chapter/10.1007/978-3-030-65847-2_13
(OSF Preprints. https://doi.org/10.31219/osf.io/2p85g) - Data Intelligence, Volume 2, Issue 1-2, Winter-Spring 2020, Special Issue: Emerging FAIR Practices. Issue Editors: Barend Mons, Erik Schultes & Annika Jacobsen: https://direct.mit.edu/dint/issue/2/1-2
- Mons, Barend et al. Cloudy, Increasingly FAIR; Revisiting the FAIR Data Guiding Principles for the European Open Science Cloud. 1 Jan. 2017 : 49 – 56: https://content.iospress.com/articles/information-services-and-use/isu824