IoT Data Quality Issues and Potential Solutions: A Literature
Review

J 2023

IoT Data Quality Issues and Potential Solutions: A Literature Review

MANSOURI, Taha; Mohammad Reza Sadeghi MOGHADAM; Fatemeh MONSHIZADEH and Ahad ZARERAVASAN

Basic information

Original name

IoT Data Quality Issues and Potential Solutions: A Literature Review

Authors

MANSOURI, Taha (364 Islamic Republic of Iran); Mohammad Reza Sadeghi MOGHADAM (364 Islamic Republic of Iran, guarantor); Fatemeh MONSHIZADEH (364 Islamic Republic of Iran) and Ahad ZARERAVASAN (364 Islamic Republic of Iran, belonging to the institution)

Edition

COMPUTER JOURNAL, OXFORD (ENGLAND), Oxford University Press, 2023, 0010-4620

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

50204 Business and management

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

is not subject to a state or trade secret

References:

URL

Impact factor

Impact factor: 1.500

RIV identification code

RIV/00216224:14560/23:00129953

Organization unit

Faculty of Economics and Administration

DOI

http://dx.doi.org/10.1093/comjnl/bxab183

UT WoS

000756711200001

EID Scopus

2-s2.0-85191656803

Keywords in English

data quality; Internet of Things (IoT); IoT data quality dimensions; IoT data quality issues; literature review

Abstract

V originále

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.

Links

EF16_027/0008360, research and development project

Name: Postdoc@MUNI

Files attached

bxab183.pdf

Request the author's version of the file

iot_data_quality.pdf File version

Cite

MANSOURI, Taha; Mohammad Reza Sadeghi MOGHADAM; Fatemeh MONSHIZADEH and Ahad ZARERAVASAN. IoT Data Quality Issues and Potential Solutions: A Literature Review. COMPUTER JOURNAL. OXFORD (ENGLAND): Oxford University Press, 2023, vol. 66, No 3, p. 615-625. ISSN 0010-4620. Available from: https://dx.doi.org/10.1093/comjnl/bxab183.

@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 and Ahad ZARERAVASAN. IoT Data Quality Issues and Potential Solutions: A Literature Review. \textit{COMPUTER JOURNAL}. OXFORD (ENGLAND): Oxford University Press, 2023, vol.~66, No~3, p.~615-625. ISSN~0010-4620. Available from: https://dx.doi.org/10.1093/comjnl/bxab183.

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