Journal:DAQUA-MASS: An ISO 8000-61-based data quality management methodology for sensor data
Full article title | DAQUA-MASS: An ISO 8000-61-based data quality management methodology for sensor data |
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Journal | Sensors |
Author(s) | Perez-Castillo, Ricardo; Carretero, Ana G.; Caballero, Ismael; Rodriguez, Moises; Piattini, Mario; Mate, Alejandro; Kim, Sunho; Lee, Dongwoo |
Author affiliation(s) | University of Castilla-La Mancha, AQC Lab, University of Alicante, Myongji University, GTOne, |
Primary contact | Email: ricardo dot pdelcastillo @ uclm dot es |
Year published | 2018 |
Volume and issue | 18(9) |
Page(s) | 3105 |
DOI | 10.3390/s18093105 |
ISSN | 1424-8220 |
Distribution license | Creative Commons Attribution 4.0 International |
Website | https://www.mdpi.com/1424-8220/18/9/3105/htm |
Download | https://www.mdpi.com/1424-8220/18/9/3105/pdf (PDF) |
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Abstract
The internet of things (IoT) introduces several technical and managerial challenges when it comes to the use of data generated and exchanged by and between various smart, connected products (SCPs) that are part of an IoT system (i.e., physical, intelligent devices with sensors and actuators). Added to the volume and the heterogeneous exchange and consumption of data, it is paramount to assure that data quality levels are maintained in every step of the data chain/lifecycle. Otherwise, the system may fail to meet its expected function. While data quality (DQ) is a mature field, existing solutions are highly heterogeneous. Therefore, we propose that companies, developers, and vendors should align their data quality management mechanisms and artifacts with well-known best practices and standards, as for example, those provided by ISO 8000-61. This standard enables a process-approach to data quality management, overcoming the difficulties of isolated data quality activities. This paper introduces DAQUA-MASS, a methodology based on ISO 8000-61 for data quality management in sensor networks. The methodology consists of four steps according to the Plan-Do-Check-Act cycle by Deming.
Keywords: data quality; data quality management processes; ISO 8000-61; data quality in sensors; internet of things; IoT; smart, connected products; SCPs
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This presentation is faithful to the original, with only a few minor changes to presentation. Grammar was cleaned up for smoother reading. In some cases important information was missing from the references, and that information was added.