{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,19]],"date-time":"2026-06-19T23:29:44Z","timestamp":1781911784644,"version":"3.54.5"},"reference-count":95,"publisher":"Oxford University Press (OUP)","issue":"3","license":[{"start":{"date-parts":[[2021,11,25]],"date-time":"2021-11-25T00:00:00Z","timestamp":1637798400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,3,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>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\u2019s 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.<\/jats:p>","DOI":"10.1093\/comjnl\/bxab183","type":"journal-article","created":{"date-parts":[[2021,11,25]],"date-time":"2021-11-25T20:14:29Z","timestamp":1637871269000},"page":"615-625","source":"Crossref","is-referenced-by-count":33,"title":["IoT Data Quality Issues and Potential Solutions: A Literature Review"],"prefix":"10.1093","volume":"66","author":[{"given":"Taha","family":"Mansouri","sequence":"first","affiliation":[{"name":"School of Science, Engineering and Environment , University of Salford, Salford, Greater Manchester, M5 4WT , UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohammad Reza","family":"Sadeghi Moghadam","sequence":"additional","affiliation":[{"name":"Faculty of Management, University of Tehran , Jalal Al-e-Ahmad Ave., Nasr Bridge, 14155-6311, Tehran , Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fatemeh","family":"Monshizadeh","sequence":"additional","affiliation":[{"name":"Faculty of Management, University of Tehran , Jalal Al-e-Ahmad Ave., Nasr Bridge, 14155-6311, Tehran , Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahad","family":"Zareravasan","sequence":"additional","affiliation":[{"name":"Department of Corporate Economy, Faculty of Economics and Administration , Masaryk University, Lipov\u00e1 41a, 602 00, Brno , Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2021,11,25]]},"reference":[{"key":"2023031708553976200_","first-page":"573","article-title":"Data quality and the Internet of Things","volume":"102","author":"Liu","year":"2020","journal-title":"Comput. 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