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Big Data in Official Statistics: An Analysis of Latin America and the Caribbean Based on Literature Review, Survey Findings, and In-Depth Interviews

UN Regional Hub for Big Data in Brazil et al. · Zenodo (CERN)
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Big Data in Official Statistics: An Analysis of Latin America and the Caribbean Based on Literature Review, Survey Findings, and In-Depth Interviews | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. UN Regional Hub for Big Data in Brazil Published December 31, 2025 | Version v2 Report Open Big Data in Official Statistics: An Analysis of Latin America and the Caribbean Based on Literature Review, Survey Findings, and In-Depth Interviews Authors/Creators UN Regional Hub for Big Data in Brazil (Hosting institution) 1 Méllo, Leonardo José Amaral de (Researcher) 1 Show affiliations 1.

National School of Statistical Sciences Description This report presents the results of the third edition of the International Consultation on the Use of Big Data in Latin America and the Caribbean, conducted in 2024 by the United Nations Regional Hub for Big Data in Brazil within the framework of the Statistical and Geoscientific Production Modernization Project, coordinated by the Brazilian Institute of Geography and Statistics (IBGE) and the United Nations Population Fund (UNFPA). The study aims to assess the current use and potential of big data for the production of official and experimental statistics in the region, as well as to identify challenges, opportunities, and priorities for national statistical institutes (NSIs). The analysis is based on a mixed-methods approach combining a literature review, an online questionnaire, and in-depth interviews. Data were collected from 24 countries that participated in previous consultation rounds, with 15 responses to the questionnaire and 12 interviews conducted in 2024. The study examines four main dimensions: the production of official statistics, experimental statistics, studies on big data use, and future plans for its application. Additional aspects explored include data sources, technical capacities, resource needs, and opportunities for collaboration. The findings indicate a growing engagement of countries with big data, particularly in the transition from experimental initiatives to official statistical production and strategic planning. Commonly used data sources include satellite imagery and web scraping, while mobile data remains less explored despite recognized potential. Key challenges identified include limited technological infrastructure, shortages of skilled personnel, legal and ethical constraints related to data access, and the need for institutional coordination. The report highlights the importance of regional cooperation, knowledge sharing, and capacity building to advance the effective and ethical use of big data in official statistics. It provides a set of non-prescriptive recommendations addressing legal, technical, operational, and methodological dimensions, allowing countries to adapt strategies to their specific contexts. The results contribute to ongoing efforts to strengthen statistical systems and promote innovation in Latin America and the Caribbean Files ThirdConsultationUseBigDataENG.pdf Files (3.7 MB) Name Size Download all ThirdConsultationUseBigDataENG.pdf md5:f3d31bd10b4a0ba2c29e1afbe8162ec1 3.7 MB Preview Download Additional details Additional titles Translated title (Portuguese) Big Data nas Estatísticas Oficiais: Uma Análise da América Latina e do Caribe com Base em Revisão de Literatura, Resultados de Questionários e Entrevistas em Profundidade Translated title (Spanish) Big Data en las Estadísticas Oficiales: Un Análisis de América Latina y el Caribe Basado en Revisión de Literatura, Resultados de Encuestas y Entrevistas en Profundidad Funding United Nations Fundo de População das Nações Unidas 106 Views 67 Downloads Show more details All versions This version Views Total views 106 82 Downloads Total downloads 67 38 Data volume Total data volume 307.0 MB 191.9 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Keywords and subjects Keywords national statistics institutes big data MeSH Data Science Artificial Intelligence Details DOI DOI Badge DOI 10.5281/zenodo.20027853 Markdown [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.20027853.svg)](https://doi.org/10.5281/zenodo.20027853) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.20027853.svg :target: https://doi.org/10.5281/zenodo.20027853 HTML <a href="https://doi.org/10.5281/zenodo.20027853"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.20027853.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.20027853.svg Target URL https://doi.org/10.5281/zenodo.20027853 Resource type Report Publisher Zenodo Languages English Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created May 4, 2026 Modified May 4, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

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