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Toward Reproducible Visual Analysis Results

, , and . 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), page 102-106. (April 2023)
DOI: 10.1109/PacificVis56936.2023.00018

Abstract

In visualization research, reproducibility is often not taken into account as a design goal. Reproducibility is desirable beyond ensuring scientific rigor: In the long-term, it helps advance sustainable visualization research, and in the short-term, it supports domain experts using the visualizations in their daily work. Designing for and ensuring reproducibility introduces costs, such as as storage cost or infrastructure maintenance. We propose a typology of reproducibility aspects that can be considered during visualization design. We then propose practical strategies to improve reproducibility and discuss their initial and running costs, their limits, and their tradeoffs. Finally, we discuss three concrete visualization approaches in the context of our typology and strategies.

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Toward Reproducible Visual Analysis Results | IEEE Conference Publication | IEEE Xplore

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