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.

中文翻译：

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数据质量和物联网

物联网 (IoT) 正在推动技术变革以及新产品和服务的开发，这些产品和服务在很大程度上依赖于物联网设备收集的数据质量。有大量关于物联网数据质量管理和改进的研究，但是，迄今为止，还没有对物联网数据质量测量的系统回顾。本文介绍了从 1999 年到 2018 年物联网一词出现期间物联网数据质量的系统文献综述 (SLR)。我们回顾和分析了 45 项实证研究，以确定物联网数据质量的研究主题。在此分析的基础上，我们建立了数据质量维度、数据质量问题的表现形式以及用于衡量数据质量的方法之间的联系。