A. Preece, Binling Jin, P. Missier, Suzanne M. Embury, D. Stead, Al Brown
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Towards the Management of Information Quality in Proteomics
We outline the application of a framework for managing information quality (IQ) in proteomics. The approach allows scientists to define the quality characteristics that are of importance in their particular domain, by extending a generic ontology of IQ concepts. Two quality indicators are defined for proteomic experiments: hit ratio and mass coverage. We describe how our framework allows experiments marked-up in a Standardformat (e.g. PEDRo) to be annotated with these computed indicators, and how the annotations can be viewed using a convenient plugin to the commonly-used Pedro data entry tool