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Provenance in Scientific Workflow Systems

TitleProvenance in Scientific Workflow Systems
Publication TypeJournal Article
Year of Publication2007
AuthorsDavidson S, Cohen-Boulakia S, Eyal A, Ludäscher B, McPhillips T, Bowers S, Anand M K, Freire J
Journal TitleIEEE Data Engineering Bulletin
Abstract

The automated tracking and storage of provenance information promises to be a major advantage of scientific workflow systems. We discuss issues related to data and workflow provenance, and present techniques for focusing user attention on meaningful provenance through “user views,” for managing the provenance of nested scientific data, and for using information about the evolution of a workflow specification to understand the difference in the provenance of similar data products.