In the digital age, high-quality data is essential for transparent and effective
decision-making, as well as for the provision of important public services. However,
ensuring data quality is a complex and multifaceted task that depends on various factors,
such as the sources of the data, the processes used to collect and manage it, and the
integrity of the systems that store and access it. In this study, we focused on the data
quality of information available on the mitos.gov website of the Greek government.
Using the KNIME platform, we extracted data from the website and evaluated its quality
using a set of quality dimensions. To this end, we developed a model for clustering
descriptions of the data records and used it to assign topics to each cluster. Our findings
provide valuable insights into the data quality of the Greek government website and
highlight some issues that need to be addressed in order to improve the reliability and
usefulness of the information available on the website. Based on our analysis, we offer a
set of recommendations for improving the data quality and data integration of the
website.
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