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Data Provenance in Scientific Workflows

by Khalid Belhajjame, Paolo Missier, Carole A Goble
Handbook of Research on Computational Grid Technologies for Life Sciences Biomedicine and Healthcare (2009)

Abstract

Data provenance is key for 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. Scientific workflows and related provenance data are first defined. Then the chapter proposes a taxonomy that characterizes provenance in scientific workflows. Such taxonomy is used for comparing and analysing provenance capabilities supplied by existing scientific workflow systems.

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