Existing research recognizes the critical role of quality data in the current big-data and
Internet of Things (IoT) era. Quality data has a direct impact on model results and hence …

The Internet of Things (IoT) and Cyber-Physical Systems (CPS) are the backbones of
Industry 4.0, where data quality is crucial for decision support. Data quality in these systems …

Timely data quality assessment has been shown to be crucial for the development of IoT-
based applications. Different IoT applications' varying data quality requirements pose a …

With the rapid deployment of Internet of Things (IoT) devices in various industries and fields,
the massive amount of data produced by these devices can yield greater value through …

Smart agriculture relies on accurate yield maps as a crucial tool for decision-making. Many
yield maps, however, suffer from spatial errors that can compromise the quality of their data …

This paper deals with the quality of network traffic datasets created to train and validate
machine learning classification and detection methods. Naturally, there is a long epoch of …

Continued development of communication technologies has led to widespread Internet-of-
Things (IoT) integration into various domains, including health, manufacturing, automotive …

Abstract Sharing Internet of Things (IoT) data across different sectors, such as in smart cities,
becomes complex due to heterogeneity. This poses challenges related to a lack of …

The advent of blockchain technology in the development and design of smart internet of
things (IoT) systems offers the opportunity to secure and transfer data flow, preserve its …

Trustworthy data in the Industrial Internet of Things are paramount to ensure correct strategic
decision-making and accurate actions on the shop floor. However, the enormous amount of …