IoT data quality issues and potential solutions: A literature review

Mansouri, Taha, Sadeghi Moghadam, Mohammad Reza, Monshizadeh, Fatemeh ORCID: https://orcid.org/0009-0002-5891-5513 and Zareravasan, Ahad 2023. IoT data quality issues and potential solutions: A literature review. The Computer Journal 66 (3) , pp. 615-625. 10.1093/comjnl/bxab183

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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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Business (Including Economics)
Publisher:	Oxford University Press
ISSN:	0010-4620
Date of First Compliant Deposit:	11 August 2025
Last Modified:	12 Aug 2025 13:30
URI:	https://orca.cardiff.ac.uk/id/eprint/180327

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