HIGHLIGHTS
SUMMARY
The data were examined using network and factorial data_analysis techniques to discover the conceptual structure underlying the study of open data-that is, the main scientific research themes and trends. During the second period starting from 2017, the most commonly used keywords in the publications collected concern multiple aspects related to the characteristics of the data and processing and analysis of open data, such as machine_learning, data quality, and big data. This result, which also emerges in other analyses, underlines how the sharing of open datasets took on an important role in understanding the . . .
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