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Research traceability using provenance services for biomedical analysis.

Ashiq Anjum1, Peter Bloodsworth, Andrew Branson

  • 1Centre for Complex Cooperative Systems, University of the West of England, Bristol, UK.

Studies in Health Technology and Informatics
|June 15, 2010
PubMed
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The neuGRID project developed a provenance service to manage biomedical workflow data. This system captures, stores, and reconstructs workflow information for enhanced data analysis and reproducibility in health research.

Area of Science:

  • Biomedical Informatics
  • Computational Biology
  • Data Management

Background:

  • Biomedical analyses generate complex workflow data.
  • Effective management of this data is crucial for reproducibility and analysis.
  • Existing systems may not adequately capture or preserve workflow provenance.

Purpose of the Study:

  • To develop and implement a provenance management service within the neuGRID project.
  • To capture, store, retrieve, and reconstruct workflow information for biomedical analyses.
  • To adapt existing systems for provenance management in a grid environment.

Main Methods:

  • Designing and implementing a dedicated provenance service.
  • Utilizing provenance management techniques for workflow data.

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  • Adapting the CRISTAL system from CERN for project-specific requirements.

    • Main Results:

    • A functional provenance service has been designed and implemented for the neuGRID project.
    • The service facilitates the capture and preservation of provenance data from biomedical workflows.
    • The CRISTAL system is being adapted to meet the project's provenance management needs.

    Conclusions:

    • The developed provenance service enhances the management of biomedical workflow data.
    • This approach supports reproducibility and facilitates user analyses in biomedical research.
    • The project explores a generalized approach for provenance management in the HealthGrid community.