About the event
The 2030 Agenda presents a series of challenges regarding data needs, meaning that data ecosystems must be adapted and developed. This is an opportunity to have more and better data in Latin American countries.
On November 18, Cepei, together with the Global Partnership for Sustainable Development Data (the Global Partnership), presented a new analysis of the state of data ecosystems in the region to provide recommendations for the progress, needs, and future lines of action to strengthen data capacity in the region.

Speakers

Claire Melamed
CEO
The Global Partnership

Diego Aboal
Director
National Institute of Statistics Uruguay

Catalina Escobar
Executive Director
Makaia Colombia

Hernán Muñoz
Data Ecosystem Advisor
Cepei
Moderator
Closing statement

Fredy Rodriguez
Senior LAC Regional Manager
The Global Partnership

Rolando Ocampo
Statistics Director
CEPAL
According to Hernán Muñoz, Data Ecosystem Advisor at Cepei and author of the document, “This analysis aims to obtain a general characterization of data ecosystems for the Sustainable Development Goals (SDGs) in Latin American countries and to identify general data trends and priorities.”
Data ecosystems in the region are mainly disjointed, and the actions necessary to improve their operation are still to be positioned within the priorities of key actors. Thus, it becomes essential to determine where international cooperation and financing efforts must be channeled to meet the demands of the 2030 Agenda for sustainable development.
Main points
Across the region’s countries, a large portion of indicators for monitoring the 2030 Agenda are produced by national statistical offices (NSOs). However, their role goes beyond production. National statistical offices are currently the leading articulators of these ecosystems and the main channel for incorporating methodological innovations and using new data sources.
Accordingly, the document provides some recommendations for actors to strengthen data ecosystems in the LAC region:
1
Modernizing institutional statistical frameworks
2
Improving the mechanisms for inter-institutional coordination and articulation
3
Incorporating non-traditional data sources into the production of official statistics
4
Innovation in governance and data stewardship frameworks
Organizers

