An identity crisis in the life sciences

  • Authors:

  • Jun Zhao;Carole Goble;Robert Stevens

  • Affiliations:

  • School of Computer Science, University of Manchester, U.K.;School of Computer Science, University of Manchester, U.K.;School of Computer Science, University of Manchester, U.K.

  • Venue:
  • IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
  • Year:
  • 2006

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Abstract

myGrid is an e-Science project assisting life scientists to build workflows that gather data from distributed, autonomous, replicated and heterogeneous resources. The provenance logs of workflow executions are recorded as RDF graphs. The log of one workflow run is used to trace the history of its execution process. However, by aggregating provenance logs of many workflow runs, one may gather the provenance of a common data product shared in multiple derivation paths. A successful aggregation relies on accurate and universal identification of each data product. The nature of bioinformatics data and services, however, makes this difficult. We describe the identity problem in bioinformatics data, and present a protocol for managing identity co-references and allocating identity to gathered and computed data products. The ability to overcome this problem means that the provenance of workflows in bioinformatics and other domains can be exploited to enhance the practice of e-Science.