The virtual data grid: a new model and architecture for data-intensive collaboration
SSDBM '03 Proceedings of the 15th International Conference on Scientific and Statistical Database Management
Introducing secure provenance: problems and challenges
Proceedings of the 2007 ACM workshop on Storage security and survivability
A Model for Sharing of Confidential Provenance Information in a Query Based System
Provenance and Annotation of Data and Processes
The case of the fake Picasso: preventing history forgery with secure provenance
FAST '09 Proccedings of the 7th conference on File and storage technologies
Preventing history forgery with secure provenance
ACM Transactions on Storage (TOS)
Project histories: managing data provenance across collection-oriented scientific workflow runs
DILS'07 Proceedings of the 4th international conference on Data integration in the life sciences
Versioning for workflow evolution
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Applying provenance in distributed organ transplant management
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Provenance implementation in a scientific simulation environment
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Applying the virtual data provenance model
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
Exploring provenance in a distributed job execution system
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
A provenance-based approach to evaluate data quality in eScience
International Journal of Metadata, Semantics and Ontologies
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While workflow is playing an increasingly important role in e-Science, current systems lack support for the collection of provenance data. We argue that workflow provenance data should be automatically generated by the enactment engine and managed over time by an underlying storage service. We briefly describe our layered model for workflow execution provenance, which allows navigation from the conceptual model of an experiment to instance data collected during a specific experiment run, and back.