Towards a Quality Model for Effective Data Selection in Collaboratories

Authors:
Yogesh L. Simmhan;Beth Plale;Dennis Gannon
Affiliations:
Indiana University;Indiana University;Indiana University
Venue:
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
Year:
2006

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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.