Author:
Aljumaili Mustafa,Karim Ramin,Tretten Phillip
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.
Subject
Management of Technology and Innovation,Library and Information Sciences,Computer Networks and Communications,Computer Science Applications,Information Systems
Reference38 articles.
1. SQL server sources,2012
2. Modeling data and process quality in multi-input, multi-output information systems;Management Science,1985
3. Modeling completeness versus consistency tradeoffs in information decision contexts;IEEE Transactions on Knowledge and Data Engineering,2003
4. Enhancing data quality in data warehouse environments;Communications of the ACM,1999
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