Data Quality Best Practices in IoT Environments

The Internet-of-Things (IoT) is a network of physical devices embedded with electronics, sensors, actuators, and connectivity enabling these objects to connect and exchange data. The IoT brings more data than ever before, connecting cyber and physical worlds, which enable people to make better decisions. The very nature of the IoT environment generating giant volumes of data gathered from several heterogeneous sources creates important data quality challenges that need to be addressed. This is because inadequate levels of data quality impact negatively all the working of the IoT network. Despite the fact that data quality has been broadly studied outside the IoT field, and huge standardization efforts are behind the concept, data quality management in the IoT has not been investigated in-depth. This paper presents an approach for managing data quality in 'smart, connected product (SCP)' environments, grounded on the series of international standards ISO/IEC 25000 and ISO 8000. Our approach provides a set of best practices for assessing and improving data quality in such environments.