Information Technologies & Systems Institute (ITSI), University of Castilla-La Mancha, 13071 Ciudad Real, Spain.
AQC Lab, 13051 Ciudad Real, Spain.
Sensors (Basel). 2018 Sep 14;18(9):3105. doi: 10.3390/s18093105.
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 artefacts 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.
物联网（IoT）在使用由物联网系统（即具有传感器和执行器的物理智能设备）中的各种智能互联产品（SCP）生成和交换的数据时，带来了一些技术和管理方面的挑战。除了数据量和异构交换以及消耗之外，至关重要的是要确保在数据链/生命周期的每个步骤中都保持数据质量水平。否则，系统可能无法满足其预期功能。虽然数据质量（DQ）是一个成熟的领域，但现有解决方案具有高度的异质性。因此，我们建议公司、开发人员和供应商应将其数据质量管理机制和工件与知名的最佳实践和标准（例如 ISO 8000-61 提供的标准）保持一致。该标准通过采用过程方法进行数据质量管理，克服了孤立的数据质量活动的困难。本文介绍了基于 ISO 8000-61 的用于传感器网络数据质量管理的 DAQUA-MASS 方法。该方法由 Deming 的计划-执行-检查-行动（PDCA）循环的四个步骤组成。
