Show simple item record Cheah, You-Wei Plale, Beth 2012-10-22T13:24:45Z 2012-10-22T13:24:45Z 2012
dc.description.abstract Data provenance, a key piece of metadata that describes the lifecycle of a data product, is crucial in aiding scientists to better understand and facilitate reproducibility and reuse of scientific results. Provenance collection systems often capture provenance on the fly and the protocol between application and provenance tool may not be reliable. As a result, data provenance can become ambiguous or simply inaccurate. In this paper, we identify likely quality issues in data provenance. We also establish crucial quality dimensions that are especially critical for the evaluation of provenance quality. We analyze synthetic and real-world provenance based on these quality dimensions and summarize our contributions to provenance quality. en
dc.language.iso en_US en
dc.subject Data Provenance en
dc.subject Provenance Quality en
dc.subject Scientific Workflows en
dc.subject Provenance Analysis en
dc.title Provenance Analysis: Towards Quality Provenance en
dc.altmetrics.display true en

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