  The Internet of Things (IoT) is a paradigm that connects everyday items to
the Internet. In the recent decade, the IoT's spreading popularity is a
promising opportunity for people and industries. IoT utilizes in a wide range
of respects such as agriculture, healthcare, smart cities, and manufacturing
sectors. IoT data quality is crucial in IoT real-life applications. IoT data
quality dimensions and issues should be considered because we require data to
make accurate and timely decisions, produce commodities, and gain insights
about events, people, and the environment. It is essential to point out that we
cannot reach valuable results by using poor quality data. This paper aims to
develop a new category for IoT data quality. Hence, we examine existing IoT
data quality dimensions and IoT data quality issues in general and specific
domains and IoT data quality dimensions' categories. It is worth considering
that categories in the context of IoT are not many. We developed a new category
in which IoT data quality dimensions and issues are separated. Concerning this
category, we can get familiar with related dimensions and issues in each
category. To enhance data quality dimensions and minimize data quality issues,
we suggest potential solutions using Blockchain to overcome IoT's security
issues.
