Managing information quality in e-Science: A case study in proteomics

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

doi:10.1007/11568346_45

Managing information quality in e-Science: A case study in proteomics

Paolo Missier^*, Alun Preece, Suzanne Embury, Binling Jin, Mark Greenwood, David Stead, Al Brown

^*Corresponding author for this work

Computer Science

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

Abstract

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.

Original language	English
Title of host publication	Perspectives in Conceptual Modeling - ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS, Proceedings
Pages	423-432
Number of pages	10
DOIs	https://doi.org/10.1007/11568346_45
Publication status	Published - 2005
Event	ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS - Perspectives in Conceptual Modeling - Klagenfurt, Austria Duration: 24 Oct 2005 → 28 Oct 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3770 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS - Perspectives in Conceptual Modeling
Country/Territory	Austria
City	Klagenfurt
Period	24/10/05 → 28/10/05

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/11568346_45

Cite this

Missier, P., Preece, A., Embury, S., Jin, B., Greenwood, M., Stead, D., & Brown, A. (2005). Managing information quality in e-Science: A case study in proteomics. In Perspectives in Conceptual Modeling - ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS, Proceedings (pp. 423-432). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3770 LNCS). https://doi.org/10.1007/11568346_45

Missier, Paolo ; Preece, Alun ; Embury, Suzanne et al. / Managing information quality in e-Science : A case study in proteomics. Perspectives in Conceptual Modeling - ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS, Proceedings. 2005. pp. 423-432 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Managing information quality in e-Science: A case study in proteomics",

abstract = "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.",

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

year = "2005",

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note = "ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS - Perspectives in Conceptual Modeling ; Conference date: 24-10-2005 Through 28-10-2005",

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Missier, P, Preece, A, Embury, S, Jin, B, Greenwood, M, Stead, D & Brown, A 2005, Managing information quality in e-Science: A case study in proteomics. in Perspectives in Conceptual Modeling - ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3770 LNCS, pp. 423-432, ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS - Perspectives in Conceptual Modeling, Klagenfurt, Austria, 24/10/05. https://doi.org/10.1007/11568346_45

Managing information quality in e-Science: A case study in proteomics. / Missier, Paolo; Preece, Alun; Embury, Suzanne et al.
Perspectives in Conceptual Modeling - ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS, Proceedings. 2005. p. 423-432 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3770 LNCS).

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

TY - GEN

T1 - Managing information quality in e-Science

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AU - Missier, Paolo

AU - Preece, Alun

AU - Embury, Suzanne

AU - Jin, Binling

AU - Greenwood, Mark

AU - Stead, David

AU - Brown, Al

PY - 2005

Y1 - 2005

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AB - 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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U2 - 10.1007/11568346_45

DO - 10.1007/11568346_45

M3 - Conference contribution

AN - SCOPUS:33646753026

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SN - 9783540293958

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Perspectives in Conceptual Modeling - ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS, Proceedings

Y2 - 24 October 2005 through 28 October 2005

ER -

Missier P, Preece A, Embury S, Jin B, Greenwood M, Stead D et al. Managing information quality in e-Science: A case study in proteomics. In Perspectives in Conceptual Modeling - ER 2005 Workshops CAOIS, BP-UML, CoMoGIS, eCOMO, and QoIS, Proceedings. 2005. p. 423-432. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11568346_45

Managing information quality in e-Science: A case study in proteomics

Abstract

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Conference

ASJC Scopus subject areas

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