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Atlanta, Georgia
Apr. 3, 2006 to Apr. 7, 2006
ISBN: 0-7695-2571-7
pp: 72
Yogesh L. Simmhan , Indiana University
Beth Plale , Indiana University
Dennis Gannon , Indiana University
ABSTRACT
Data-driven scientific applications utilize workflow frameworks to execute complex dataflows, resulting in derived data products of unknown quality. We discuss our on-going research on a quality model that provides users with an integrated estimate of the data quality that is tuned to their application needs and is available as a numerical quality score that enables uniform comparison of datasets, providing a way for the community to trust derived data.
INDEX TERMS
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CITATION
Yogesh L. Simmhan, Beth Plale, Dennis Gannon, "Towards a Quality Model for Effective Data Selection in Collaboratories", ICDEW, 2006, 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW) 2006, pp. 72, doi:10.1109/ICDEW.2006.150
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