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

Institutions

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

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How FAIR is VIS?

Daniel Wiegreffe, Christoph Garth, Guido Reina, Christina Gillmann
1 links
IEEE Computer Graphics and Applications
Research Data Management Practices
article

How FAIR is VIS?

Daniel Wiegreffe, Christoph Garth, Guido Reina, Christina Gillmann
article en

Abstract

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.

IEEE Computer Graphics and ApplicationsVol. 45(1)
University of Stuttgart (DE), University of Kaiserslautern (DE), University of Koblenz and Landau (DE), Fraunhofer Institute for Applied Information Technology (DE), Leipzig University (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 91%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.