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Framework of IoT Data Quality Management for SCP operations
Sunho Kim,Micheal Wolde,Changsoo Lee,Jinwoo Lee,Dongwoo Lee,Sangyup Lee 대한산업공학회 2018 대한산업공학회 춘계학술대회논문집 Vol.2018 No.4
Smart Connected Product (SCP) is one domain of ISO, which requires an efficient and effective data quality management process. Data of high quality is vital for SCPs to function properly. We discussed in detail the important issues in data quality, specifically for SCP application domain. For data processing part of ISO 8000-61, this paper proposed a process reference parts. We also identified a fault management process for data processing. The paper includes the different reflections of IoT based data quality characteristics. Lastly, we indicated the ways forward to resolve the issue of too many process capability indicators in ISO 8000-62.
Framework of IoT Data Quality Management for SCP operations
Sunho Kim,Micheal Wolde,Changsoo Lee,Jinwoo Lee,Dongwoo Lee,Sangyup Lee 한국경영과학회 2018 한국경영과학회 학술대회논문집 Vol.2018 No.04
Smart Connected Product (SCP) is one domain of ISO, which requires an efficient and effective data quality management process. Data of high quality is vital for SCPs to function properly. We discussed in detail the important issues in data quality, specifically for SCP application domain. For data processing part of ISO 8000-61, this paper proposed a process reference parts. We also identified a fault management process for data processing. The paper includes the different reflections of IoT based data quality characteristics. Lastly, we indicated the ways forward to resolve the issue of too many process capability indicators in ISO 8000-62.
A study for IoT data quality characteristics
Changsoo Lee,Sunho Kim,Micheal Wolde,Dongwoo Lee,Sangyup Lee,Jinwoo Lee 한국경영과학회 2018 한국경영과학회 학술대회논문집 Vol.2018 No.04
Large amount of data is one of the most drastic character of IoT environment. And there are many types of data including streaming data also in IoT. Considering data quality in IoT environment, we need to identify such characteristics. Identification of data quality characteristics is the basic of data quality improvement. This paper deals with characteristics affecting data quality: plentiful in amount, diversity in structure, distributed in location, continuous in time, uncertain in circumstances, erroneous in connectivity and so on. Comparison of IoT and non-IoT data quality characteristics are mentioned.
A study for IoT data quality characteristics
Changsoo Lee,Sunho Kim,Micheal Wolde,Dongwoo Lee,Sangyup Lee,Jinwoo Lee 대한산업공학회 2018 대한산업공학회 춘계학술대회논문집 Vol.2018 No.4
Large amount of data is one of the most drastic character of IoT environment. And there are many types of data including streaming data also in IoT. Considering data quality in IoT environment, we need to identify such characteristics. Identification of data quality characteristics is the basic of data quality improvement. This paper deals with characteristics affecting data quality: plentiful in amount, diversity in structure, distributed in location, continuous in time, uncertain in circumstances, erroneous in connectivity and so on. Comparison of IoT and non-IoT data quality characteristics are mentioned.