IoT Data Quality Issues and Potential Solutions: A Literature Review

IF 1.5 4区 计算机科学 Q4 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Taha Mansouri;Mohammad Reza Sadeghi Moghadam;Fatemeh Monshizadeh;Ahad Zareravasan
{"title":"IoT Data Quality Issues and Potential Solutions: A Literature Review","authors":"Taha Mansouri;Mohammad Reza Sadeghi Moghadam;Fatemeh Monshizadeh;Ahad Zareravasan","doi":"10.1093/comjnl/bxab183","DOIUrl":null,"url":null,"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.","PeriodicalId":50641,"journal":{"name":"Computer Journal","volume":"66 3","pages":"615-625"},"PeriodicalIF":1.5000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10084363/","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 1

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.
物联网数据质量问题和潜在解决方案:文献综述
在物联网(IoT)中,从数十台设备收集的数据是创造商业价值和开发新产品和服务的基础。如果数据质量很差,那么决策很可能是没有意义的。数据质量对于获得物联网计划的商业价值至关重要。本文介绍了2000年至2020年关于物联网数据质量的系统文献综述。我们分析了58篇文章,以确定物联网数据质量的维度和问题及其分类。根据这一分析,我们使用焦点小组方法对物联网数据特征进行了分类,并澄清了每个类别中维度和问题之间的联系。在每个类别中表现维度和问题之间的联系是义不容辞的,而在现存的分类中,这一关键问题被忽视了。我们还将数据安全作为一个重要的数据质量问题进行了研究,并提出了克服物联网安全问题的潜在解决方案。这项研究的发现为研究人员和从业者在物联网背景下确定数据质量提供了一个新的研究学科。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Computer Journal
Computer Journal 工程技术-计算机:软件工程
CiteScore
3.60
自引率
7.10%
发文量
164
审稿时长
4.8 months
期刊介绍: The Computer Journal is one of the longest-established journals serving all branches of the academic computer science community. It is currently published in four sections.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信