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ITH: an open database on Italian Tenders 2016-2023
Roberto Nai1, Emilio Sulis2, Rosa Meo2
1University of Turin, Computer Science Department, Turin, 10149, Italy. roberto.nai@unito.it.
Scientific Data
|December 31, 2024
Summary
This study created the Italian Tender Hub (ITH), a unified database of over 3 million public tenders from Italy's National Anti-Corruption Authority. It integrates multiple data sources to improve access to crucial government procurement information.
Area of Science:
- Public Administration
- Data Science
- Government Procurement
Background:
- Public procurement in Italy represents a significant economic sector (12% of GDP).
- Existing public data on tenders are fragmented across multiple sources, hindering accessibility and analysis.
- The need for a consolidated, usable dataset for understanding government spending and anti-corruption efforts is critical.
Purpose of the Study:
- To describe and analyze the creation of a centralized legal public administration database.
- To integrate diverse data sources for enhanced usability and analytical capabilities.
- To address challenges in data completeness within the Open Data catalogue.
Main Methods:
- Collection and arrangement of tender data from the National Anti-Corruption Authority (over 3 million tenders).
- Integration with datasets on public entities and territorial units (2016-2023).
- Analysis of data completeness and usability challenges in the Open Data catalogue.
Main Results:
- Development of the Italian Tender Hub (ITH), a comprehensive dataset of public tenders.
- Identification of significant challenges related to data completeness in current Open Data repositories.
- Demonstration of a practical application and use case for the ITH dataset.
Conclusions:
- The Italian Tender Hub (ITH) provides a valuable, integrated resource for analyzing public procurement.
- Addressing data completeness is essential for maximizing the utility of Open Data initiatives.
- The ITH facilitates better understanding and oversight of government contracting and anti-corruption measures.
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