Abstract
Smart connected product (SCP) operation embodies the concept of the internet of things (IoT). To increase the probability of success of SCP operations for customers, the high quality of the IoT data across operations is imperative. IoT data go beyond sensor data, as integrate some other various type of data such as timestamps, device metadata, business data, and external data through SCP operation processes. Therefore, traditional data-centric approaches that analyze sensor data and correct their errors are not enough to preserve, in long-term basis, adequate levels of quality of IoT data. This research provides and alternative framework of data quality management as a process-centric approach to improve the quality of IoT data. The proposed framework extends the process reference model (PRM) for data quality management (DQM) defined in ISO 8000-61, and tailored to fully adapt to the special requirements of the IoT data management. These involve several adaptations: first, the scope of the SCP operations for data quality management is determined, and the processes required for SCP operations are defined following the process description format of ISO 8000-61. Second, the relationship between the processes and the structure of the processes in the technology stack of the SCP operations are described to cover the actual nature of the IoT data flows. Finally, a new IoT DQM-PRM is proposed by integrating the processes for the SCP operations with DQM-PRM. When these processes are executed in the organization, the quality of IoT data composed of data of various types can be continuously improved and the utilization rate of SCP operations is expected to increase.
Highlights
In recent years, the Internet of Things (IoT) has evolved as one of the trendier technologies to support Industry 4.0, among others
A new internet of things (IoT) data quality management (DQM)-process reference model (PRM) is proposed by integrating the processes for the Smart connected product (SCP) operations with DQMPRM. When these processes are executed in the organization, the quality of IoT data composed of data of various types can be continuously improved and the utilization rate of SCP operations is expected to increase
The rest of this paper is organized as follows: Section II presents characteristics of the IoT and IoT data, Section III introduces the types of IoT Data, Section IV defines the processes of the SCP operations and their relationships, Section V describes the DQM-PRM of the SCP operations, and Section VI presents the conclusions and future works
Summary
The Internet of Things (IoT) has evolved as one of the trendier technologies to support Industry 4.0, among others. This data centric approach can be supported by some international standards like ISO 25012 [20] and ISO 19157 [19] that define data quality characteristics in software quality and geographic information, respectively This approach has the advantage of rapidly correcting the data nonconformities and quantitatively suggesting changes to attribute values. This approach avoids the systematic recurrence of the same data nonconformity by eliminating the root causes through data cleansing and business process improvements [6], [26] This approach is supported by international standards the ISO 8000-60 series for data quality [6], [17], the ISO 9000 series for product quality [18], the ISO 33000 series for process assessment in information technology [21], the CMMI model for software quality [27]. The rest of this paper is organized as follows: Section II presents characteristics of the IoT and IoT data, Section III introduces the types of IoT Data, Section IV defines the processes of the SCP operations and their relationships, Section V describes the DQM-PRM of the SCP operations, and Section VI presents the conclusions and future works
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