Proceedings of the 17th International Conference on Data Engineering
Lineage retrieval for scientific data processing: a survey
ACM Computing Surveys (CSUR)
A survey of data provenance in e-science
ACM SIGMOD Record
Scientific workflow management and the Kepler system: Research Articles
Concurrency and Computation: Practice & Experience - Workflow in Grid Systems
Special Issue: The First Provenance Challenge
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Provenance for Computational Tasks: A Survey
Computing in Science and Engineering
Provenance in High-Energy Physics Workflows
Computing in Science and Engineering
Scientific Workflow Provenance Querying with Security Views
WAIM '08 Proceedings of the 2008 The Ninth International Conference on Web-Age Information Management
Scientific workflow design for mere mortals
Future Generation Computer Systems
Privacy issues in scientific workflow provenance
Proceedings of the 1st International Workshop on Workflow Approaches to New Data-centric Science
The Open Provenance Model core specification (v1.1)
Future Generation Computer Systems
PROPUB: towards a declarative approach for publishing customized, policy-aware provenance
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Reconciling provenance policy conflicts by inventing anonymous nodes
ESWC'11 Proceedings of the 8th international conference on The Semantic Web
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Provenance describes the origin, context, derivation, and ownership of data products and is becoming increasingly important in scientific applications. This information can be used, e.g., to explain, debug, and reproduce the results of computational experiments, or to determine the validity and quality of data products. In contrast, it may be infeasible or undesirable to share complete provenance of a scientific experiment. Towards finding a balance between these requirements, we develop a framework and a system that allows scientists to declaratively specify their provenance data publication and customization requirements. Using this system, scientists can specify which parts of the provenance data are to be included in the result and which parts should be hidden, or anonymized. However, arbitrary application of these specifications may not maintain provenance data integrity. Thus, we allow scientists to specify provenance data integrity requirements, in form of provenance policies, along with their provenance data publication and customization requirements. Our system then systematically applies all the publication and customization requirements on the provenance data and ensures all the provenance policies as specified by the scientist.