Article2007

Provenance for Visualizations: Reproducibility and Beyond

Claudio T. Silva · Juliana Freire · Steven P. Callahan

138 citations0/0 files storedComputing in Science & Engineering

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Scientific Computing and Data Management Computer Graphics and Visualization Techniques Data Visualization and Analytics

Abstract

The demand for the construction of complex visualizations is growing in many disciplines of science, as users are faced with ever increasing volumes of data to analyze. In this paper, the authors present VisTrails, an open source provenance-management system that provides infrastructure for data exploration and visualization. VisTrails transparently records detailed provenance of exploratory computational tasks and leverages this information beyond just the ability to reproduce and share results. In particular, it uses this information to simplify the process of exploring data through visualization.

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2009Efficient provenance storage over nested data collections 2012Making Computations and Publications Reproducible with VisTrails 2013Learning from the Past: Approaches for Reproducibility in Computational Neuroscience 2011A Provenance-Based Infrastructure to Support the Life Cycle of Executable Papers 2011Provenance-Based Reproducibility in the Semantic Web 2013Temporal representation for mining scientific data provenance 2011ProPub: Towards a Declarative Approach for Publishing Customized, Policy-Aware Provenance 2012Temporal representation for scientific data provenance

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