Managing information quality in e-Science: A case study in Proteomics

Missier, Paolo, Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057, Embury, Suzanne, Jin, Binling, Greenwood, Mark, Stead, David and Brown, Al 2005. Managing information quality in e-Science: A case study in Proteomics. Lecture Notes in Computer Science 3770 , pp. 423-432. 10.1007/11568346_45

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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

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Publisher:	Springer Verlag
ISBN:	978354029358
ISSN:	0302-9743
Last Modified:	24 Oct 2022 10:17
URI:	https://orca.cardiff.ac.uk/id/eprint/43724

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