VisTrails: visualization meets data management
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Quality views: capturing and exploiting the user perspective on data quality
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Querying and Managing Provenance through User Views in Scientific Workflows
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
TaPP'12 Proceedings of the 4th USENIX conference on Theory and Practice of Provenance
Transparent provenance derivation for user decisions
IPAW'12 Proceedings of the 4th international conference on Provenance and Annotation of Data and Processes
WorMS- a framework to support workflows in M&S
Proceedings of the Winter Simulation Conference
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Scientific workflows may include automated decision steps, for instance to accept/reject certain data products during the course of an in silico experiment, based on an assessment of their quality. The trustworthiness of these workflows can be enhanced by providing the users with a trace and explanation of the outcome of these decisions. In this paper we present a provenance model that is designed specifically to support this task. The model applies to a particular type of sub-workflow that is compiled automatically from a high-level specification of user-defined, quality-based data acceptance criteria. The keys to the effectiveness of the approach are that (i ) these sub-workflows follow a predictable pattern structure, (ii ) the purpose of their component services is defined using an ontology of Information Quality concepts, and (iii ) the conceptual model for provenance is consistent with the ontology structure.