Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Querying and re-using workflows with VsTrails
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Provenance for Computational Tasks: A Survey
Computing in Science and Engineering
Workflows and e-Science: An overview of workflow system features and capabilities
Future Generation Computer Systems
Prospective and Retrospective Provenance Collection in Scientific Workflow Environments
SCC '10 Proceedings of the 2010 IEEE International Conference on Services Computing
SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
The Open Provenance Model core specification (v1.1)
Future Generation Computer Systems
A new approach for publishing workflows: abstractions, standards, and linked data
Proceedings of the 6th workshop on Workflows in support of large-scale science
Datalog as a lingua franca for provenance querying and reasoning
TaPP'12 Proceedings of the 4th USENIX conference on Theory and Practice of Provenance
A PROV encoding for provenance analysis using deductive rules
IPAW'12 Proceedings of the 4th international conference on Provenance and Annotation of Data and Processes
Modeling and Querying Scientific Workflow Provenance in the D-OPM
SCC '12 Proceedings of the 2012 SC Companion: High Performance Computing, Networking Storage and Analysis
UV-CDAT: Analyzing Climate Datasets from a User's Perspective
Computing in Science and Engineering
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This paper presents an extension to the W3C PROV provenance model, aimed at representing process structure. Although the modelling of process structure is out of the scope of the PROV specification, it is beneficial when capturing and analyzing the provenance of data that is produced by programs or other formally encoded processes. In the paper, we motivate the need for such and extended model in the context of an ongoing large data federation and preservation project, DataONE, where provenance traces of scientific workflow runs are captured and stored alongside the data products. We introduce new provenance relations for modelling process structure along with their usage patterns, and present sample queries that demonstrate their benefit.