Data quality and the Internet of Things

被引:35
作者
Liu, Caihua [1 ]
Nitschke, Patrick [2 ]
Williams, Susan P. [2 ]
Zowghi, Didar [1 ]
机构
[1] Univ Technol Sydney, Fac Engn & Informat Technol, Informat Technol, Broadway 15, Ultimo, NSW 2007, Australia
[2] Univ Koblenz Landau, Fac Comp Sci, Univ Str 1, D-56070 Koblenz, Germany
关键词
Internet of Things; Data quality; Systematic review; Research themes;
D O I
10.1007/s00607-019-00746-z
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The Internet of Things (IoT) is driving technological change and the development of new products and services that rely heavily on the quality of the data collected by IoT devices. There is a large body of research on data quality management and improvement in IoT, however, to date a systematic review of data quality measurement in IoT is not available. This paper presents a systematic literature review (SLR) about data quality in IoT from the emergence of the term IoT in 1999 to 2018. We reviewed and analyzed 45 empirical studies to identify research themes on data quality in IoT. Based on this analysis we have established the links between data quality dimensions, manifestations of data quality problems, and methods utilized to measure data quality. The findings of this SLR suggest new research areas for further investigation and identify implications for practitioners in defining and measuring data quality in IoT.
引用
收藏
页码:573 / 599
页数:27
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