Metadata-based data quality assessment

被引：14

作者：

Aljumaili, Mustafa ^{[1
]}

Karim, Ramin ^{[1
]}

Tretten, Phillip ^{[1
]}

机构：

[1] Lulea Univ Technol, Div Operat Maintenance & Acoust Engn, Lulea, Sweden

来源：

VINE JOURNAL OF INFORMATION AND KNOWLEDGE MANAGEMENT SYSTEMS | 2016年 / 46卷 / 02期

关键词：

Metadata; Data quality; Attributes; eMaintenance; Database;

D O I：

10.1108/VJIKMS-11-2015-0059

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

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.

引用

页码：232 / 250

页数：19

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