@article{ef5ff365085a474994f6b7e31aeb4832,
title = "Provenance for visualizations: Reproducibility and beyond",
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. The authors present VisTrails, an open source provenance-management system that provides infrastructure for data exploration and visualization.",
author = "Silva, {Claudio T.} and Juliana Freire and Callahan, {Steven P.}",
note = "Funding Information: This article summarizes work being done in the VisTrails project. It{\textquoteright}s only possible through the work of all our team members: Erik Anderson, Jason Callahan, David Koop, Emanuele Santos, Carlos E. Scheidegger, and Huy T. Vo. The data used in this article is available courtesy of the National Library of Medicine{\textquoteright}s Visible Human Project. The US National Science Foundation partially supported this work under grants IIS-0513692, CCF-0401498, EIA-0323604, CNS-0541560, OCE-0424602, and OISE-0405402. The US Department of Energy, an IBM Faculty Award, and a University of Utah Seed Grant also partially supported this work.",
year = "2007",
month = sep,
doi = "10.1109/MCSE.2007.106",
language = "English (US)",
volume = "9",
pages = "82--89",
journal = "Computing in Science and Engineering",
issn = "1521-9615",
publisher = "IEEE Computer Society",
number = "5",
}