Towards the Management of Information Quality in Proteomics

Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057, Jin, Binling, Missier, Paolo, Embury, Suzanne, Stead, David and Brown, Al 2006. Towards the Management of Information Quality in Proteomics. Presented at: 19th IEEE International Symposium on Computer-Based Medical Systems: CBMS 2006, Salt Lake City, UT, USA, 22-23 June 2006. Published in: Lee, D. J., Nutter, B., Antani, S., Mitra, S. and Archibald, J. eds. 19th IEEE International Symposium on Computer-Based Medical Systems: CBMS 2006 - Proceedings. Los Alamitos, CA: IEEE, pp. 936-940. 10.1109/CBMS.2006.160

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords:	Pedro data entry tool, hit ratio, information quality, mass coverage, ontology, proteomics
Publisher:	IEEE
ISBN:	9780769525174
Related URLs:	Organisation
Last Modified:	24 Oct 2022 10:53
URI:	https://orca.cardiff.ac.uk/id/eprint/46251

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