Related Experiment Video
Updated: Jun 12, 2026
05:00
Using a Chemical Biopsy for Graft Quality Assessment
Published on: June 17, 2020
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
Summary
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.
- 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.
