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

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.

• Type: Conference
• Year: 2005
• Where: ER
• Authors: Paolo Missier, Alun D. Preece, Suzanne M. Embury, Binling Jin, R. Mark Greenwood, David Stead, Al Brown
• Keywords: ER 2005, Formal Iq Ontology, Generic Quality Model, Quality Characteristics