Data quality and the Internet of Things

Liu, C; Nitschke, P; Williams, SP; Zowghi, D

Data quality and the Internet of Things

Liu, C

Nitschke, P Williams, SP

Zowghi, D

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Publication Type:: Journal Article
Citation:: Computing, 2020, 102 (2), pp. 573 - 599
Issue Date:: 2020-02-01

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Field	Value	Language
dc.contributor.author	Liu, C https://orcid.org/0000-0002-9641-4712	en_US
dc.contributor.author	Nitschke, P	en_US
dc.contributor.author	Williams, SP https://orcid.org/0000-0003-0173-0286	en_US
dc.contributor.author	Zowghi, D https://orcid.org/0000-0002-6051-0155	en_US
dc.date.issued	2020-02-01	en_US
dc.identifier.citation	Computing, 2020, 102 (2), pp. 573 - 599	en_US
dc.identifier.issn	0010-485X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/135609
dc.description.abstract	© 2019, Springer-Verlag GmbH Austria, part of Springer Nature. The Internet of Things (IoT) is driving technological change and the development of new products and services that rely heavily on the quality of the data collected by IoT devices. There is a large body of research on data quality management and improvement in IoT, however, to date a systematic review of data quality measurement in IoT is not available. This paper presents a systematic literature review (SLR) about data quality in IoT from the emergence of the term IoT in 1999 to 2018. We reviewed and analyzed 45 empirical studies to identify research themes on data quality in IoT. Based on this analysis we have established the links between data quality dimensions, manifestations of data quality problems, and methods utilized to measure data quality. The findings of this SLR suggest new research areas for further investigation and identify implications for practitioners in defining and measuring data quality in IoT.	en_US
dc.relation.ispartof	Computing	en_US
dc.relation.isbasedon	10.1007/s00607-019-00746-z	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Numerical & Computational Mathematics	en_US
dc.title	Data quality and the Internet of Things	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	102	en_US
utslib.for	01 Mathematical Sciences	en_US
utslib.for	08 Information and Computing Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Research)
pubs.organisational-group	/University of Technology Sydney/DVC (Research)/Graduate Research School
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
pubs.organisational-group	/University of Technology Sydney/Strength - STEM Education Futures
utslib.copyright.status	closed_access	*
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	102	en_US

Abstract:

© 2019, Springer-Verlag GmbH Austria, part of Springer Nature. The Internet of Things (IoT) is driving technological change and the development of new products and services that rely heavily on the quality of the data collected by IoT devices. There is a large body of research on data quality management and improvement in IoT, however, to date a systematic review of data quality measurement in IoT is not available. This paper presents a systematic literature review (SLR) about data quality in IoT from the emergence of the term IoT in 1999 to 2018. We reviewed and analyzed 45 empirical studies to identify research themes on data quality in IoT. Based on this analysis we have established the links between data quality dimensions, manifestations of data quality problems, and methods utilized to measure data quality. The findings of this SLR suggest new research areas for further investigation and identify implications for practitioners in defining and measuring data quality in IoT.

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http://hdl.handle.net/10453/135609