Data Quality in IoT Applications: A Scoping Review

The Internet of Things (IoT) market is moving from proofs of concept and pilots to more comprehensive production environments, achieving a plateau of sustainability in consumer applications. The success of IoT applications is highly dependent on the quality of the data received, transmitted, and processed. This article presents a scoping review of how data quality (DQ) management and manifestations of DQ problems have been addressed in the IoT context from 2016 to 2022, collecting methods, datasets, standards, and use case segments. First, a landscape is presented, dividing it into two groups: massive device applications and mission-critical applications, each with its own quality demand. Then, after screening more than 3,200 articles from two distinct databases, 124 full-text articles were selected to collect data and insights. Within the criteria, 70% of the selected articles were published in the year 2022 and almost 60% addressed the dimension of credibility (integrity). The findings are expected to help researchers direct their future efforts and present opportunities that may be addressed, such as not mentioned DQ dimensions, new methods using emerging technologies, or new use cases that are underexploited,