Lineage retrieval for scientific data processing: a survey
ACM Computing Surveys (CSUR)
A survey of data provenance in e-science
ACM SIGMOD Record
Provenance for Visualizations: Reproducibility and Beyond
Computing in Science and Engineering
Zoom*UserViews: querying relevant provenance in workflow systems
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Special Issue: The First Provenance Challenge
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
Efficient lineage tracking for scientific workflows
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Provenance and scientific workflows: challenges and opportunities
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Provenance for Computational Tasks: A Survey
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
Exploring Scientific Workflow Provenance Using Hybrid Queries over Nested Data and Lineage Graphs
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Techniques for efficiently querying scientific workflow provenance graphs
Proceedings of the 13th International Conference on Extending Database Technology
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
Managing rapidly-evolving scientific workflows
IPAW'06 Proceedings of the 2006 international conference on Provenance and Annotation of Data
A declarative approach to customize workflow provenance
Proceedings of the Joint EDBT/ICDT 2013 Workshops
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In scientific collaborations, provenance is increasingly used to understand, debug, and explain the processing history of data, and to determine the validity and quality of data products. While provenance is easily recorded by scientific workflow systems, it can be infeasible or undesirable to publish provenance details for all data products of a workflow run. We have developed ProPub, a system that allows users to publish a customized version of their data provenance, based on a set of publication and customization requests, while observing certain provenance publication policies, expressed as logic integrity constraints. When user requests conflict with provenance policies, repair actions become necessary. In prior work, we removed additional parts of the provenance graph (i.e., not directly requested by the user) to repair constraint violations. In this paper, we present an alternative approach, which ensures that all relevant nodes are retained in the provenance graph. The key idea is to introduce new anonymous nodes to represent lineage dependencies, without revealing information that the user wants to protect. With this new approach, a user may now explore different provenance publication strategies, and choose the most appropriate one before publishing sensitive provenance data.