Mexico: Instituto Nacional de Transparencia, Acceso a la Información y Protección de Datos Personales (INAI)
The General Directorate of Access Policies (Dirección General de Políticas de Acceso - DGPA) is in charge of monitoring and supporting the capture by each of the INAI administrative units and of making an update cut every quarter.
The data of the INAI’s contracting procedures are published on this website, the data is related to contracting procedures and collaboration agreements.
A contracting process has several stages: tendering, awarding, contracting and implementation. You can learn about the contracting stages in this tutorial.
The dataset has quality issues to take into account, notably:
The fields procurementMethod and mainProcurementCategory use values that are not present in their codelist
id is missing but required within awards, contracts, items and tender
Some fields use an incorrect format, for example:
parties/contactPoint/telephone
parties/contactPoint/faxNumber
parties/address/postalCode
tender/awardPeriod/maxExtentDate
tender/minValue/amount
awards/contractPeriod/maxExtentDate
Last reviewed: Dec 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.
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.