Abstract:
The most critical concept in scientific workflows is provenance, since it allows the scientists to understand the origin of the results, to repeat their experiments, to validate set of processes that were used to derive the data products. During a discussion on provenance standardization at the International Provenance and Annotation Workshop (IPAW'06, www.ipaw.info), the community decided that it needs to understand the different representations used for provenance, its common aspects, and the reasons for its differences. As a result, the community agreed that a "Provenance Challenge" should be set to compare and understand existing approaches. This paper describes about the challenges of provenance.
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