Processing and consolidation of open data on public procurement in France (2015–2023)

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Adrien Deschamps , Lucas Potin
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引用次数: 0

Abstract

Public procurement can be defined as the process by which public contracting authorities purchase goods, services, and works from private suppliers. To ensure transparency and prevent favoritism and corruption, public contracts adhere to strict procedures based on calls for tenders and award notices, which are publicly accessible online. This paper introduces a tabular dataset derived from the processing and consolidation of online public procurement notices. It provides a detailed overview of public contracts awarded in France between 2015 and 2023. The dataset encompasses approximately one million contractual relationships between public authorities and companies, in over 300,000 contracts, spanning all sectors and public institutions. It includes 113 variables covering contract characteristics (procedure, subject matter, award criteria, clauses, etc.), award outcomes (award price, number of bids, etc.), as well as information on contracting authorities (type, location, main activity, etc.) and awarded firms (size, legal status, main activity, age, location, etc.). This unprecedented dataset, both in accuracy and scope, provides reliable and detailed information on every advertised contract in France for nearly a decade, making it valuable for empirical research in diverse domains such as economics, geography, law, and political science.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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