Provenance in scientific workflow systems

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Publication Type Journal Article
School or College College of Engineering
Department Computing, School of
Creator Freire, Juliana
Other Author Davidson, Susan; Cohen-Bolakia, Sarah; Eyal, Anat; Ludascher, Bertram; McPhillips, Timothy; Bowers, Shawn; Anand, Manish Kumar
Title Provenance in scientific workflow systems
Date 2007
Description 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.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Volume 30
Issue 4
First Page 1
Last Page 7
Subject Workflow systems; Provenance
Subject LCSH Workflow -- Management; Database management
Language eng
Bibliographic Citation Davidson, S., Cohen-Bolakia, S., Eyal, A., Ludascher, B., McPhillips,T., Bowers, S., Anand, M. K., & Freire, J. (2007). Provenance in scientific workflow systems, IEEE Data Engineering Bulletin, 30(4), 1-7.
Rights Management (c) 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 357,802 bytes
Identifier ir-main,12333
ARK ark:/87278/s6988rhx
Setname ir_uspace
ID 705910
Reference URL https://collections.lib.utah.edu/ark:/87278/s6988rhx
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