Mexico: Instituto Veracruzano de Acceso a la Información y Protección de Datos Personales (IVAI)

The Instituto Veracruzano de Acceso a la Información y Protección de Datos Personales (IVAI) captures and publishes its contracts using the Open Contracts tool. IVAI publishes the data in its open data portal.

The publication includes the IVAI’s procurement processes related to the execution of leasing contracts which uses the Invitation to at least 3 suppliers (Invitación a tres proveedores) procurement method.

Available formats:
JSON
Excel
CSV

Overview

Data date range:
Aug 2021 - Oct 2022
Update frequency:
Unknown
Last retrieved:
Jan 2024 (retrieved every 6 months)
OCID prefix:
-
License:
Términos de libre uso MX

You can:

  • Make and distribute copies of the data set and its content

  • Disseminate and publish the data set and its content

  • Adapt or rearrange the data set and its content

  • Extract all or part of the content of the data set

  • Commercially exploit the data set and its content

  • Create data sets derived from the data set or its content.

Terms:

  • Cite the source of origin where you obtained the dataset

  • Do not use the information in order to deceive or confuse the population by varying the original meaning of the information and its veracity.

  • Do not pretend that your use of the data represents an official government position or that it is endorsed by the source of origin.

This license is compatible with Creative Commons Attribution 4.0 International (CC BY 4.0)

Language:
Spanish
Retrieved from:
https://ivai.org.mx/contrataciones-abiertas/

Data available

A contracting process has several stages: tendering, awarding, contracting and implementation. You can learn about the contracting stages in this tutorial.

Parties

Count of parties:
54

Planning

Count of planning activities:
8

Tenders

Count of tenders:
8
Count of tenderers:
32
Count of tender items:
137

Awards

Count of awards:
10
Count of suppliers:
15
Count of award items:
0

Contracts

Count of contracts:
10
Count of contract items:
17
Count of transactions:
15

Documents

Count of documents:
96

Milestones

Count of milestones:
0

Amendments

Count of amendments:
2

Data quality

Summary

The OCDS dataset has some quality issues to take into account, in particular:

  • The id is missing in planning/budget/budgetBreakdow.
  • There are duplicated releases/id
  • Some documents uses a documentType that are not part of t llist of document type codes.
  • There are some consistency issues with dates:
    • tender.tenderPeriod.endDate <= tender.contractPeriod.startDate: The last day for submission is after the scheduled start date of the contract.
    • tender.tenderPeriod.endDate <= awards.date: The last day for submissions is after the anticipated contract start date.
    • tender.tenderPeriod.endDate <= contracts.dateSigned:.The last day for submissions is after the contract signing date.
    • awards.date <= contracts.dateSigned:.The award date is after the date of signature of the related contracts.
    • contracts.dateSigned <= contracts.implementation.transactions.date: The date of signature of the contract is after the date of the related transactions.

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.

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.

CSV

Each contracting process is represented as one row in the main.csv file. Other files link to it via the _link_main 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.

Do you have any questions or feedback on this dataset or any other content on this page?