IoT Data Quality Issues and Potential Solutions: A Literature Review

Abstract In the Internet of Things (IoT), data gathered from dozens of devices are the base for creating business value and developing new products and services. If data are of poor quality, decisions are likely to be non-sense. Data quality is crucial to gain business value of the IoT initiatives....

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Bibliographic Details
Published inComputer journal Vol. 66; no. 3; pp. 615 - 625
Main Authors Mansouri, Taha, Sadeghi Moghadam, Mohammad Reza, Monshizadeh, Fatemeh, Zareravasan, Ahad
Format Journal Article
LanguageEnglish
Published Oxford University Press 15.03.2023
Subjects
data quality
Internet of Things (IoT)
IoT data quality dimensions
IoT data quality issues
literature review
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Summary:Abstract In the Internet of Things (IoT), data gathered from dozens of devices are the base for creating business value and developing new products and services. If data are of poor quality, decisions are likely to be non-sense. Data quality is crucial to gain business value of the IoT initiatives. This paper presents a systematic literature review regarding IoT data quality from 2000 to 2020. We analyzed 58 articles to identify IoT data quality dimensions and issues and their categorizations. According to this analysis, we offer a classification of IoT data characterizations using the focus group method and clarify the link between dimensions and issues in each category. Manifesting a link between dimensions and issues in each category is incumbent, while this critical affair in extant categorizations is ignored. We also examine data security as an important data quality issue and suggest potential solutions to overcome IoT’s security issues. The finding of this study proposes a new research discipline for additional examination for researchers and practitioners in determining data quality in the context of IoT.
ISSN:0010-4620
1460-2067
DOI:10.1093/comjnl/bxab183