Kristi Gjerko
A massive analysis of Italian open data quality.
Rel. Antonio Vetro', Marco Torchiano. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024
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Abstract
The fast-paced diffusion of Open Government Data (OGD) in the last few years in Italy has highlighted the need for a high standard of data quality to ensure that this data can be used to effectively support decision-making, transparency, and innovation. This thesis aims to carry out a massive analysis of Italian open data quality by measuring its accuracy, availability, completeness, consistency, and understandability as defined by the ISO/IEC 25012 and ISO/IEC 25024 standards. To this end, a tool has been developed and applied on a large and diverse collection of data and metadata. A pipeline of automated processes is used to perform data discovery, data normalization, and data quality assessment, the output of which is then stored into a PostreSQL database.
The data quality results can be explored through an interactive user interface on a React-based client or via API queries to a Node.js server
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