Towards the management of information quality in proteomics

Alun Preece; Binling Jin; Paolo Missier; Suzanne Embury; David Stead; Al Brown

doi:10.1109/CBMS.2006.160

Towards the management of information quality in proteomics

Alun Preece, Binling Jin, Paolo Missier, Suzanne Embury, David Stead, Al Brown

Research output: Chapter in Book/Conference proceeding › Conference contribution

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 he viewed using a convenient plugin to the commonly-used Pedro data entry tool. © 2006 IEEE.

Original language	English
Title of host publication	Proceedings - IEEE Symposium on Computer-Based Medical Systems\|Proc. IEEE Symp. Comput.-Based Med. Syst.
Publisher	IEEE Computer Society
Pages	936-940
Number of pages	4
Volume	2006
ISBN (Print)	0769525172, 9780769525174
DOIs	https://doi.org/10.1109/CBMS.2006.160
Publication status	Published - 2006
Event	19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006 - Salt Lake City, UT Duration: 1 Jul 2006 → …

Conference

Conference	19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006
City	Salt Lake City, UT
Period	1/07/06 → …

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10.1109/CBMS.2006.160

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title = "Towards the management of information quality in proteomics",

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 he viewed using a convenient plugin to the commonly-used Pedro data entry tool. {\textcopyright} 2006 IEEE.",

author = "Alun Preece and Binling Jin and Paolo Missier and Suzanne Embury and David Stead and Al Brown",

year = "2006",

doi = "10.1109/CBMS.2006.160",

language = "English",

isbn = "0769525172",

volume = "2006",

pages = "936--940",

booktitle = "Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.",

publisher = "IEEE Computer Society ",

address = "United States",

note = "19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006 ; Conference date: 01-07-2006",

}

Preece, A, Jin, B, Missier, P, Embury, S, Stead, D & Brown, A 2006, Towards the management of information quality in proteomics. in Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.. vol. 2006, IEEE Computer Society , pp. 936-940, 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006, Salt Lake City, UT, 1/07/06. https://doi.org/10.1109/CBMS.2006.160

TY - GEN

T1 - Towards the management of information quality in proteomics

AU - Preece, Alun

AU - Jin, Binling

AU - Missier, Paolo

AU - Embury, Suzanne

AU - Stead, David

AU - Brown, Al

PY - 2006

Y1 - 2006

N2 - 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 he viewed using a convenient plugin to the commonly-used Pedro data entry tool. © 2006 IEEE.

AB - 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 he viewed using a convenient plugin to the commonly-used Pedro data entry tool. © 2006 IEEE.

U2 - 10.1109/CBMS.2006.160

DO - 10.1109/CBMS.2006.160

M3 - Conference contribution

SN - 0769525172

SN - 9780769525174

VL - 2006

SP - 936

EP - 940

BT - Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.

PB - IEEE Computer Society

T2 - 19th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2006

Y2 - 1 July 2006

ER -

Towards the management of information quality in proteomics

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