Provenance and scientific workflows: Challenges and opportunities

Susan B. Davidson, Juliana Freire

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Provenance in the context of workflows, both for the data they derive and for their specification, is an essential component to allow for result reproducibility, sharing, and knowledge re-use in the scientific community. Several workshops have been held on the topic, and it has been the focus of many research projects and prototype systems. This tutorial provides an overview of research issues in provenance for scientific workflows, with a focus on recent literature and technology in this area. It is aimed at a general database research audience and at people who work with scientific data and workflows. We will (1) provide a general overview of scientific workflows, (2) describe research on provenance for scientific workflows and show in detail how provenance is supported in existing systems; (3) discuss emerging applications that are enabled by provenance; and (4) outline open problems and new directions for database-related research.

Original languageEnglish (US)
Title of host publicationSIGMOD 2008
Subtitle of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data 2008
Pages1345-1350
Number of pages6
DOIs
StatePublished - 2008
Event2008 ACM SIGMOD International Conference on Management of Data 2008, SIGMOD'08 - Vancouver, BC, Canada
Duration: Jun 9 2008Jun 12 2008

Publication series

NameProceedings of the ACM SIGMOD International Conference on Management of Data
ISSN (Print)0730-8078

Conference

Conference2008 ACM SIGMOD International Conference on Management of Data 2008, SIGMOD'08
CountryCanada
CityVancouver, BC
Period6/9/086/12/08

Keywords

  • Provenance
  • Scientific workflows

ASJC Scopus subject areas

  • Software
  • Information Systems

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  • Cite this

    Davidson, S. B., & Freire, J. (2008). Provenance and scientific workflows: Challenges and opportunities. In SIGMOD 2008: Proceedings of the ACM SIGMOD International Conference on Management of Data 2008 (pp. 1345-1350). [1376772] (Proceedings of the ACM SIGMOD International Conference on Management of Data). https://doi.org/10.1145/1376616.1376772