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@INPROCEEDINGS{ysimmhan:quality:sciflow2006,
  author = {Yogesh L. Simmhan and Beth Plale and Dennis Gannon},
  title = {Towards a Quality Model for Effective Data Selection in Collaboratories},
  booktitle = {IEEE Workshop on Workflow and Data Flow for Scientific Applications
	(SciFlow) in conjunction with ICDE},
  year = {2006},
  month = {April},
  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,
	and increases community’s trust in derived data.},
  keyword     = {quality model, provenance, machine learning, data management, web service, workflows, Indiana university},
  owner = {ysimmhan},
  timestamp = {2005.12.21},
  url = {http://www.cs.indiana.edu/~ysimmhan/l/pubs/ysimmhan-sciflow-2006_submitted.pdf}
}