We outline the approach being developed in the neuGRID project to use provenance management techniques for the purposes of capturing and preserving the provenance data that emerges in the specification and execution of workflows in biomedical analyses. In the neuGRID project a provenance service has been designed and implemented that is intended to capture, store, retrieve and reconstruct the workflow information needed to facilitate users in conducting user analyses. We describe the architecture of the neuGRID provenance service and discuss how the CRISTAL system from CERN is being adapted to address the requirements of the project and then consider how a generalised approach for provenance management could emerge for more generic application to the (Health)Grid community.
@article{arxiv.1403.0230,
title = {Research Traceability using Provenance Services for Biomedical Analysis},
author = {Ashiq Anjum and Peter Bloodsworth and Andrew Branson and Irfan Habib and Richard McClatchey and Tony Solomonides and the neuGRID Consortium},
journal= {arXiv preprint arXiv:1403.0230},
year = {2014}
}
Comments
9 pages, 5 figures; Proceedings of the 8th HealthGrid Int. Conference (HG'10). Paris, France. June 2010