DocumentCode
1803296
Title
Towards a Quality Model for Effective Data Selection in Collaboratories
Author
Simmhan, Yogesh L. ; Plale, Beth ; Gannon, Dennis
Author_Institution
Indiana University
fYear
2006
fDate
2006
Firstpage
72
Lastpage
72
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.
Keywords
Application software; Collaboration; Collaborative work; Computer science; Meteorology; Predictive models; Q factor; Scientific computing; Weather forecasting; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering Workshops, 2006. Proceedings. 22nd International Conference on
Conference_Location
Atlanta, GA, USA
Print_ISBN
0-7695-2571-7
Type
conf
DOI
10.1109/ICDEW.2006.150
Filename
1623867
Link To Document