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Data Provenance in Scientific Workflows

Data Provenance in Scientific Workflows

Khalid Belhajjame, Paolo Missier, Carole Goble
Copyright: © 2009 |Pages: 14
ISBN13: 9781605663746|ISBN10: 1605663743|EISBN13: 9781605663753
DOI: 10.4018/978-1-60566-374-6.ch003
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MLA

Belhajjame, Khalid, et al. "Data Provenance in Scientific Workflows." Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare, edited by Mario Cannataro, IGI Global, 2009, pp. 46-59. https://doi.org/10.4018/978-1-60566-374-6.ch003

APA

Belhajjame, K., Missier, P., & Goble, C. (2009). Data Provenance in Scientific Workflows. In M. Cannataro (Ed.), Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare (pp. 46-59). IGI Global. https://doi.org/10.4018/978-1-60566-374-6.ch003

Chicago

Belhajjame, Khalid, Paolo Missier, and Carole Goble. "Data Provenance in Scientific Workflows." In Handbook of Research on Computational Grid Technologies for Life Sciences, Biomedicine, and Healthcare, edited by Mario Cannataro, 46-59. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-374-6.ch003

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Abstract

Data provenance is key to understanding and interpreting the results of scientific experiments. This chapter introduces and characterises data provenance in scientific workflows using illustrative examples taken from real-world workflows. The characterisation takes the form of a taxonomy that is used for comparing and analysing provenance capabilities supplied by existing scientific workflow systems.

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