2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW) (2006)
Apr. 3, 2006 to Apr. 7, 2006
Beth Plale , Indiana University
Yogesh L. Simmhan , Indiana University
Dennis Gannon , Indiana University
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.
Beth Plale, Yogesh L. Simmhan, Dennis Gannon, "Towards a Quality Model for Effective Data Selection in Collaboratories", 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW), vol. 00, no. , pp. 72, 2006, doi:10.1109/ICDEW.2006.150