Validation of E-Science Experiments using a Provenance-based Approach

Abstract

E-science experiments typically involve many distributed services maintained by different organisations. As part of the scientific process, it is important for scientists to be able to verify the correctness of their own experiments, or to review the correctness of their peers’ work. There is no existing framework for validating such experiments. Users therefore have to rely on error checking performed by the services, or adopt other ad hoc methods. This paper introduces a platform independent framework for validating workflow executions. The validation relies on reasoning over the documented provenance of experiment results and semantic descriptions of services advertised in a registry. This validation process ensures experiments are performed correctly, and thus results generated are meaningful. The framework is tested in a bioinformatics application that performs protein compressibility analysis.

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ORCID for Luc Moreau: orcid.org/0000-0002-3494-120X

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