Connecting Scientific Data to Scientific Experiments with Provenance
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IPAW'12 Proceedings of the 4th international conference on Provenance and Annotation of Data and Processes
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TaPP'13 Proceedings of the 5th USENIX conference on Theory and Practice of Provenance
D-PROV: extending the PROV provenance model with workflow structure
Proceedings of the 5th USENIX Workshop on the Theory and Practice of Provenance
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In recent years, a variety of systems have been developed that export the workflows used to analyze data and make them part of published articles. We argue that the workflows that are published in current approaches are dependent on the specific codes used for execution, the specific workflow system used, and the specific workflow catalogs where they are published. In this paper, we describe a new approach that addresses these shortcomings and makes workflows more reusable through: 1) the use of abstract workflows to complement executable workflows to make them reusable when the execution environment is different, 2) the publication of both abstract and executable workflows using standards such as the Open Provenance Model that can be imported by other workflow systems, 3) the publication of workflows as Linked Data that results in open web accessible workflow repositories. We illustrate this approach using a complex workflow that we re-created from an influential publication that describes the generation of 'drugomes'.