The purpose of this paper is to develop data quality (DQ) assessment model based on content analysis and metadata analysis.
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.
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.
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.
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-11-2015-0059Download as .RIS
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