  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.
