Sciweavers

SIGMOD
2007
ACM

Managing information quality in e-science: the qurator workbench

14 years 11 months ago
Managing information quality in e-science: the qurator workbench
Data-intensive e-science applications often rely on third-party data found in public repositories, whose quality is largely unknown. Although scientists are aware that this uncertainty may lead to incorrect scientific conclusions, in the absence of a quantitative characterization of data quality properties they find it difficult to formulate precise data acceptability criteria. We present an Information Quality management workbench, called Qurator, that supports data experts in the specification of personal quality models, and lets them derive effective criteria for data acceptability. The demo of our working prototype will illustrate our approach on a real e-science workflow for a bioinformatics application. Categories and Subject Descriptors: H.3.3 Information Search and Retrieval: Information filtering General Terms: Management, Measurement, Experimentation.
Alun D. Preece, Binling Jin, Paolo Missier, R. Mar
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2007
Where SIGMOD
Authors Alun D. Preece, Binling Jin, Paolo Missier, R. Mark Greenwood, Suzanne M. Embury
Comments (0)