Mexico: Instituto de Transparencia, Acceso a la Información Pública, Protección de Datos Personales y Rendición de Cuentas de la Ciudad de México (INFOCDMX)
The Instituto de Transparencia, Acceso a la Información Pública, Protección de Datos Personales y Rendición de Cuentas de la ciudad de México (INFOCDMX), captures and publishes its contracts using the Open Contracts tool. INFOCDMX publishes its data on its open data portal.
The publication includes information on Public Tenders, Restricted Invitations to at least three individuals and Direct Awards of INFOCDMX, starting in 2019. In addition, all procurement procedures are published on the National Transparency Platform and on the Info Compra Contrataciones website.
A contracting process has several stages: tendering, awarding, contracting and implementation. You can learn about the contracting stages in this tutorial.
The OCDS dataset has some quality issues to consider, in particular:
The URI of the release packages refers to a resource that is not available.
Most of the dates on the documents are inconsistent.
There are awards or contracts that are associated with incomplete tenders.
There are some roles of parties that do not have an organizational reference.
Last reviewed: Jan 2022
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.
Each contracting process is represented as one row in the main sheet. Other sheets link to it via the main_ocid column. In general, each sheet is linked to its parent sheet via the [sheet_name]_id 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.
Each contracting process is represented as one row in the main.csv file. Other files link to it via the main_ocid column. In general, each file is link to its parent file via the [file_name]_id column.
The .csv files are archived using tar and compressed using Gzip. Windows users need 7-Zip, WinRAR or WinZip to decompress the .tar.gz file.