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: Chapter in Book/Report/Conference proceedingPublished conference contribution

6 Citations (Scopus)


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
Title of host publicationPerspectives in Conceptual Modeling. ER 2005
Number of pages10
Publication statusPublished - 2005

Publication series

NameLecture Notes in Computer Science

Bibliographical note

ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS - Perspectives in Conceptual Modeling24 October 2005through 28 October 2005Code 67331

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