Managing information quality in e-science: A case study in proteomics

P Missier, A Preece, S Embury, B L Jin, M Greenwood, D Stead, A Brown

Research output: Book/ReportBook

5 Citations (Scopus)

Abstract

We describe a new approach to managing information quality (IQ) in an e-Science context, by allowing scientists to define the quality characteristics that are of importance in their particular domain. These preferences are specified and classified in relation to a formal IQ ontology, intended to support the discovery and reuse of scientists' quality descriptors and metrics. In this paper, we present a motivating scenario from the biological sub-domain of proteomics, and use it to illustrate how the generic quality model we have developed can be expanded incrementally without making unreasonable demands on the domain expert who maintains it.

Original languageEnglish
PublisherUnknown Publisher
Number of pages10
Publication statusPublished - 2005

Cite this

Missier, P., Preece, A., Embury, S., Jin, B. L., Greenwood, M., Stead, D., & Brown, A. (2005). Managing information quality in e-science: A case study in proteomics. Unknown Publisher.

Managing information quality in e-science: A case study in proteomics. / Missier, P ; Preece, A ; Embury, S ; Jin, B L ; Greenwood, M ; Stead, D ; Brown, A .

Unknown Publisher, 2005. 10 p.

Research output: Book/ReportBook

Missier, P, Preece, A, Embury, S, Jin, BL, Greenwood, M, Stead, D & Brown, A 2005, Managing information quality in e-science: A case study in proteomics. Unknown Publisher.
Missier P, Preece A, Embury S, Jin BL, Greenwood M, Stead D et al. Managing information quality in e-science: A case study in proteomics. Unknown Publisher, 2005. 10 p.
Missier, P ; Preece, A ; Embury, S ; Jin, B L ; Greenwood, M ; Stead, D ; Brown, A . / Managing information quality in e-science: A case study in proteomics. Unknown Publisher, 2005. 10 p.
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