Uruguay: Agencia Reguladora de Compras Estatales (ARCE) (API)
ARCE tracks information in Sistema de Información de Compras Estatales (SICE).
The public bodies covered are all bodies governed by public law: Central Administration (including the Executive, Legislative and Judicial Branches), Departmental Governments, Autonomous Entities and Decentralized Services and bodies with functional autonomy (Court of Auditors, Electoral Court, Administrative Court, among others). There is an exclusion with respect to the previous bodies that operate in competitive markets (e.g., purchases of the public cellular telephone company) and that have the right to reserve the information.
It is not mandatory to publish processes where the value of the purchase is below 20% of the threshold corresponding to the agency’s maximum direct purchase amount (some agencies have expanded direct contracting amounts).
No information on centralized purchases or framework agreements is included. Information on extensions or renewals made to an award is not included.
- Available formats:
- JSON
- Excel
- CSV
Overview
- Data date range:
- Nov 2017 - Nov 2024
- Update frequency:
- Real time
- Main language:
- Spanish
- OCID prefix:
- ocds-yfs5dr
- License:
-
Licencia de Datos Abiertos - Uruguay Versión 0.1
Authorization. The open data and open metadata provided, for commercial and non-commercial use, may be:
- alienated, reproduced, distributed, published, translated, adapted, transformed, communicated or made available to the public through any form or procedure;
- merged with own and third-party data, and can be combined to form new and independent data sets;
- integrated into business processes, products and internal and external applications in public and private electronic networks.
Note of Origin. In order to use open data and open metadata in the terms referred to in the previous article, the following information must be cited in all cases:
- the name of the provider,
- the reference to the “Open Data License - Uruguay”.
- the reference to the data set that is being used. Changes, editions, new designs or modifications must be mentioned in the note of origin.
- Publication policy:
- https://www.gub.uy/agencia-reguladora-compras-estatales/politicas-y-gestion/politica-publicacion-para-estandar-open-contracting
- Last retrieved:
- Nov 2024 (retrieved monthly)
- Retrieved from:
- https://www.gub.uy/agencia-compras-contrataciones-estado/datos-y-estadisticas/datos/open-contracting
Data available
Parties
- Count of parties:
- 1,119,082
Planning
- Count of planning activities:
- 0
Tenders
- Count of tenders:
- 196,623
- Count of tenderers:
- 0
- Count of tender items:
- 954,561
Awards
- Count of awards:
- 601,138
- Count of suppliers:
- 601,138
- Count of award items:
- 1,419,149
Contracts
- Count of contracts:
- 0
- Count of contract items:
- 0
- Count of transactions:
- 0
Documents
- Count of documents:
- 597,900
Milestones
- Count of milestones:
- 0
Amendments
- Count of amendments:
- 293,630
No extensions are used.
Data quality
The dataset has quality issues to take into account, notably:
- There are some JSON files that contain strings with more the one line, breaking the JSON file
- For direct tenders, the tender block is completely omitted, publishing only the awards without the tender. Therefore, the ‘direct’ procurement method cannot be used to identify direct tenders, but the lack of the ‘tender’ block should be checked instead.
Last reviewed: Jun 2021
Access data
This OCDS dataset is available for download in JSON, Excel or CSV format. You can download the data for contracting processes in a specific year or for all time.
JSON
Each contracting process is represented as one line of JSON text in the .jsonl file.
The .jsonl file is compressed using Gzip. Windows users need 7-Zip, WinRAR or WinZip to decompress the .gz file.
Excel
Each contracting process is represented as one row in the main sheet. Other sheets link to it via the _link_main column.
Excel files can have at most 1,048,576 rows. If a year is missing, it had too many rows. Download the CSV files, instead.