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Metadata-Based Data Quality Assessment
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-6135-3008
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-0055-2740
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0003-3827-0295
2016 (English)In: Vine: The Journal of Information and Knowledge Management Systems, ISSN 0305-5728, E-ISSN 1474-1032, Vol. 46, no 2, p. 232-250Article in journal (Refereed) Published
Abstract [en]

High quality data and data quality assessment can support the decision-makingprocess. In the literature, discussions of the assessment process are mainly focused on theoretical approaches to content analysis or on user evaluations. Metadata is important source for quality information in any database system, however, it is not considered for data quality assessment. Metadata contains information that describes the data in a database, including the constraints and the database schema. High quality data can be produced by designing a database system with accurate metadata descriptions. Having accurate and detailed metadata will reduce the errors in data values which can lead to data quality issues. In this study, data quality assessment model is proposed based on both content and metadata analysis. The model is validated by developing an application tool to assess the quality of the data in a database based on the proposed model. The results show that metadata can provide important information about the quality of the database and its adoption can help togive faster, more accurate and user independent assessment of data quality.

Place, publisher, year, edition, pages
2016. Vol. 46, no 2, p. 232-250
Keyword [en]
Information technology - Computer science
Keyword [sv]
Informationsteknik - Datorvetenskap
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-7058DOI: 10.1108/VJIKMS-11-2015-0059Scopus ID: 2-s2.0-85015326022Local ID: 55f53188-d739-46ef-bbc6-2a01ff36f251OAI: oai:DiVA.org:ltu-7058DiVA: diva2:979945
Note

Validerad; 2016; Nivå 1; 20151225 (musalj)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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