How FAIR is VIS?
In many disciplines, the findable, accessible, interoperable, and reusable (FAIR) principles are a gold standard for data management and handling. While these disciplines often require FAIR principles to be at least partially implemented in their scientific work to avoid desk rejects, the visualization community is still working on a proper way to deal with the FAIR principles. In this article, we aim to show the relation between the visualization community and the FAIR community. This will be accomplished by a showcase of other communities that are incorporating the FAIR principles successfully. Based on these investigations, we aim to provide suggestions on how to implement FAIR principles in the visualization community.
Authors
- Daniel Wiegreffe (ORCID: https://orcid.org/0000-0002-5356-6732)
- Christoph Garth (ORCID: https://orcid.org/0000-0003-1669-8549)
- Guido Reina (ORCID: https://orcid.org/0000-0003-4127-1897)
- Christina Gillmann (ORCID: https://orcid.org/0009-0005-9087-205X)
Institutions
- University of Stuttgart (DE)
- University of Kaiserslautern (DE)
- University of Koblenz and Landau (DE)
- Fraunhofer Institute for Applied Information Technology (DE)
- Leipzig University (DE)
Publication Details
- Journal
- IEEE Computer Graphics and Applications
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/mcg.2024.3495932
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft