Extended, Improved and Unified Public Procurement Announcement Base

2021-beauamp1.1.0.csv

Major contributions:

• Conversion of textual data from notices published in BOAMP into a tabular format
• Categorisation of selection criteria and harmonisation of their weighting
• Estimated SIRET of purchasers and licensees
• Geolocation of buyers and holders (including abroad)
• Importing a lot of information about the companies and buyers mentioned in BOAMP

The dataset merges the information contained in the Official Bulletin of Public Procurement Announcements (BOAMP) with data from INSEE's SIRENE database for all public contracts awarded from 2015 to 2023.

The data are presented in the form of a table where each row represents a contractual relationship between the buyer and the holder (or announces the failure/decision not to act if applicable), and each column describes a characteristic of the contract, the outcome of the award procedure, the buyer or the holder. In total, more than 350,000 public contracts are described, linking 16,000 buyers and 130,000 holders in a table of 1,162,969 rows and 114 columns.

Data format:

Files available: global file covering data from January 2015 to December 2023
- beauamp1.1.0.csv: - 20xx_beauamp1.1.0.csv:
- definition-des-variables.pdf: nine annual files (contracts awarded from 1 January to 31 December of year 20xx)
- structure-des-donnees.png: explanation of variables present in the database
a schema summarizing the structure of the dataset a diagram showing the different stages of data compilation

• constitution-des-donnees.png:

For more details on the origin of the data: Link to Github

To use Pickle format (recommended): Dataset on Zenodo

Contact:
- adrien.deschamps@univ-avignon.fr
- https://www.linkedin.com/in/adrien-deschamps-au/

For academic research purpose:
For more details on the AI used to estimate SIRETs: Technical report
Deschamps, A., & Potin, L. (2024). BeauAMP: processing and consolidation of open data on public procurement in France (2015-2023) [Data set]. Annual file for 2019
Zenodo. https://zenodo.org/records/11001277

Project origin:

The project was partly funded by the [Agence Nationale de la Recherche] (https://anr.fr/Projet-ANR-19-CE38-0004):
[data paper being peer-reviewed]

Detecting Corruption in Public Procurement - Grant ANR-19-CE38-0004
It is part of doctoral work:

Caution:
The data in the database are only indicative, facilitating the carrying out of evaluation work. At the level of a market, approximations or errors may have appeared in the processing of ads and in the estimation of SIRET. The data cannot have the same value as the notices initially published at BOAMP. Diagram showing the different stages in the formation of the dataset