A Model for Sharing of Confidential Provenance Information in a Query Based System
نویسندگان
چکیده
Workflow management systems are increasingly being used to automate scientific discovery. Provenance meta-data is collected about workflows, processes, simulations and data to add value. This meta-data and provenance information may have as much value as the raw data. Typically, sensitive information produced by a computational processes or experiments is well guarded. However, this may not necessarily be true when it comes to provenance information. The issue is how to appropriately share confidential provenance information. We present a model for sharing provenance information when the confidentiality level is dynamically decided by the user. The key characteristic of this model is the Query Sharing concept. We illustrate the model for workflows implemented using provenance enabled Kepler system.
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