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. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Weise, A., Hasan, A., Hedges, M., & Jensen, J. (2009). Managing provenance in iRODS. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5545 LNCS, pp. 667–676). https://doi.org/10.1007/978-3-642-01973-9_75
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