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http://dx.doi.org/10.36498/kbigdt.2021.6.1.161

Development of Smart City IoT Data Quality Indicators and Prioritization Focusing on Structured Sensing Data  

Yang, Hyun-Mo (연세대학교 정보대학원 비즈니스 빅데이터 분석)
Han, Kyu-Bo (연세대학교 정보대학원 IoT 서비스융합)
Lee, Jung Hoon (연세대학교 정보대학원)
Publication Information
The Journal of Bigdata / v.6, no.1, 2021 , pp. 161-178 More about this Journal
Abstract
The importance of 'Big Data' is increasing to the point that it is likened to '21st century crude oil'. For smart city IoT data, attention should be paid to quality control as the quality of data is associated with the quality of public services. However, data quality indicators presented through ISO/IEC organizations and domestic/foreign organizations are limited to the 'User' perspective. To complement these limitations, the study derives supplier-centric indicators and their priorities. After deriving 3 categories and 13 indicators of supplier-oriented smart city IoT data quality evaluation indicators, we derived the priority of indicator categories and data quality indicators through AHP analysis and investigated the feasibility of each indicator. The study can contribute to improving sensor data quality by presenting the basic requirements that data should have to individuals or companies performing the task. Furthermore, data quality control can be performed based on indicator priorities to provide improvements in quality control task efficiency.
Keywords
Smartcity; IoT(Internet of Things); Data Quality; Quality Index; AHP;
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