Paper Info
Title
Towards a Quality Model for Effective Data Selection in Collaboratories
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.
Year
DOI
Venue
2006
10.1109/ICDEW.2006.150
ICDE Workshops
Keywords
Field
DocType
numerical quality score,integrated estimate,unknown quality,quality model,data product,data-driven scientific application,complex dataflows,application need,effective data selection,data quality,on-going research,wireless sensor networks,computer science,scientific computing,predictive models,meteorology,collaboration,q factor,weather forecasting,application software
Derived Data,Data mining,Quality Score,Data quality,Data selection,Computer science,Application software,Workflow,Wireless sensor network,Database
Conference
ISBN
Citations 
PageRank 
0-7695-2571-7
18
1.20
References 
Authors
16
3
Name
Order
Citations
PageRank
Yogesh Simmhan11904134.15
Beth Plale21837142.80
Dennis Gannon32514330.26