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Managing Information Quality in e-Science: A Case Study in Proteomics

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Perspectives in Conceptual Modeling (ER 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3770))

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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.

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© 2005 Springer-Verlag Berlin Heidelberg

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Missier, P. et al. (2005). Managing Information Quality in e-Science: A Case Study in Proteomics. In: Akoka, J., et al. Perspectives in Conceptual Modeling. ER 2005. Lecture Notes in Computer Science, vol 3770. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29395-8

  • Online ISBN: 978-3-540-32239-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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