Filipov, V., Isenberg, T., & Lex, A. (2026). README.md: A Tutorial on Reproducible Visualization Research. In M. Sedlmair, T. Hoellt, & S. van den Elzen (Eds.), EuroVis 2026 : Panels and Tutorials. The Eurographics Association. https://doi.org/10.2312/evt.20261000
Reproducibility is fundamental to scientific progress, yet visualization research remains difficult or impossible to reproduce due to missing code, inaccessible URLs, undocumented dependencies, and incomplete documentation. This tutorial provides practical guidance for reproducible visualization research across development and empirical studies. We address common barriers including resource constraints, disclosure concerns, and publication anxieties, and present workflows for version control, documentation, dependency management, and deployment. Participants will learn to structure projects with reproducibility in mind, engage with the Graphics Replicability Stamp Initiative, and learn about frameworks such as reVISit 2 for replicable empirical studies. Participants will be supported by interactive activities and an open repository of reusable resources.
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Project title:
ArtVis: Dynamische Netzwerk für die digitale Kunstgeschichte: P35767-N (FWF - Österr. Wissenschaftsfonds) SANE: Visual Analytics für Ereignisdiffusion in Netzwerken: I 6635-N (FWF - Österr. Wissenschaftsfonds)
CC BY 4.0
