Metadata-based data quality assessment
VINE Journal of Information and Knowledge Management Systems
ISSN: 2059-5891
Article publication date: 9 May 2016
Abstract
Purpose
The purpose of this paper is to develop data quality (DQ) assessment model based on content analysis and metadata analysis.
Design/methodology/approach
A literature review of DQ assessment models has been conducted. A study of DQ key performances (KPIs) has been done. Finally, the proposed model has been developed and applied in a case study.
Findings
The results of this study shows that the metadata data have important information about DQ in a database and can be used to assess DQ to provide decision support for decision makers.
Originality/value
There is a lot of DQ assessment in the literature; however, metadata are not considered in these models. The model developed in this study is based on metadata in addition to the content analysis, to find a quantitative DQ assessment.
Keywords
Citation
Aljumaili, M., Karim, R. and Tretten, P. (2016), "Metadata-based data quality assessment", VINE Journal of Information and Knowledge Management Systems, Vol. 46 No. 2, pp. 232-250. https://doi.org/10.1108/VJIKMS-11-2015-0059
Publisher
:Emerald Group Publishing Limited
Copyright © 2016, Emerald Group Publishing Limited