| MANSOURI, Taha, Mohammad Reza Sadeghi MOGHADAM, Fatemeh MONSHIZADEH a Ahad ZARERAVASAN. IoT Data Quality Issues and Potential Solutions: A Literature Review. COMPUTER JOURNAL. OXFORD (ENGLAND): Oxford University Press, 2023, roč. 66, č. 3, s. 615-625. ISSN 0010-4620. Dostupné z: https://dx.doi.org/10.1093/comjnl/bxab183. |
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@article{1837708,
author = {Mansouri, Taha and Moghadam, Mohammad Reza Sadeghi and Monshizadeh, Fatemeh and Zareravasan, Ahad},
article_location = {OXFORD (ENGLAND)},
article_number = {3},
doi = {http://dx.doi.org/10.1093/comjnl/bxab183},
keywords = {data quality; Internet of Things (IoT); IoT data quality dimensions; IoT data quality issues; literature review},
language = {eng},
issn = {0010-4620},
journal = {COMPUTER JOURNAL},
title = {IoT Data Quality Issues and Potential Solutions: A Literature Review},
url = {https://academic.oup.com/comjnl/advance-article-abstract/doi/10.1093/comjnl/bxac014/6529197?redirectedFrom=fulltext},
volume = {66},
year = {2023}
}
TY - JOUR
ID - 1837708
AU - Mansouri, Taha - Moghadam, Mohammad Reza Sadeghi - Monshizadeh, Fatemeh - Zareravasan, Ahad
PY - 2023
TI - IoT Data Quality Issues and Potential Solutions: A Literature Review
JF - COMPUTER JOURNAL
VL - 66
IS - 3
SP - 615-625
EP - 615-625
PB - Oxford University Press
SN - 00104620
KW - data quality
KW - Internet of Things (IoT)
KW - IoT data quality dimensions
KW - IoT data quality issues
KW - literature review
UR - https://academic.oup.com/comjnl/advance-article-abstract/doi/10.1093/comjnl/bxac014/6529197?redirectedFrom=fulltext
N2 - 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.
ER -
MANSOURI, Taha, Mohammad Reza Sadeghi MOGHADAM, Fatemeh MONSHIZADEH a Ahad ZARERAVASAN. IoT Data Quality Issues and Potential Solutions: A Literature Review. \textit{COMPUTER JOURNAL}. OXFORD (ENGLAND): Oxford University Press, 2023, roč.~66, č.~3, s.~615-625. ISSN~0010-4620. Dostupné z: https://dx.doi.org/10.1093/comjnl/bxab183.
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