Managing Provenance in iRODS

Authors:
Andrea Weise;Adil Hasan;Mark Hedges;Jens Jensen
Affiliations:
Centre for Advanced Computing and Emerging Technologies (ACET), University of Reading, UK;English Department, Liverpool University, UK;Centre for e-Research, King's College London, UK;Science and Technology Facilities Council,Rutherford Appleton Laboratory, UK
Venue:
ICCS 2009 Proceedings of the 9th International Conference on Computational Science
Year:
2009

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Abstract

Nowadays provenance is an important issue. Provenance data does not only give a history of events, it also provides enough information to allow the opportunity to verify the authenticity of the data, as well as, determine the quality of the data. The data grid management system, iRODS, comes with metadata which can be used as provenance data. Currently, iRODS's metadata is not sufficient for tracking and reconstructing procedures applied to data. In this paper, we describe the provenance needs of iRODS and we survey briefly current provenance and provenance enabled workflow systems. We describe an architecture that can be used to manage provenance in iRODS (and other systems) in a fault-tolerant way.