Timely data | Global Partnership for Sustainable Development Data

Timely data

We want to see governments making use of traditional and non-traditional forms of data to act on the most up-to-date information.

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UNDP Sierra Leone

Using earth observation data to save the mangrove ecosystem in Sierra Leone

Man walking in front of a wall with COVID-19 graffiti

COVID-19 Response

aerial photo of a city

POPGRID Data Collaborative

Planet Earth South Africa zone. Elements of this image furnished by NASA

Africa Regional Data Cube

Doctor recording a newborns foot prints on the birth certificate.

Collaborative on Administrative Data

Beni Nzimba Makumbu, CAN Data Science Fellow from our first cohort, at the interview for our case study

Mapping and analysis of land degradation in Lubumbashi, Democratic Republic of Congo (DRC)

Image: The Foreign and Commonwealth Office. By Adrian Pingstone – Own work, Public Domain, Wikimedia: https://commons.wikimedia.org/w/index.php?curid=358146

Power of data: how a more coherent global approach to data and technology could drive progress on UK government priorities

The Global Partnership team at the UN World Data Forum

365 days of data: The Global Partnership's highlights from 2024.

The 10 CAN fellows in Cohort 2

Meet the second cohort of CAN Data Science Fellows tackling climate and health challenges across Africa

An artist’s illustration of artificial intelligence (AI). Credit Google DeepMind / Unsplash

Revolutionalizing data for policymaking: empowering Africa’s data practitioners with new technology and skills

Unsplash/Google Deepmind: An artist’s illustration of artificial intelligence (AI). This image was inspired neural networks used in deep learning. It was created by Novoto Studio as part of the Visualising AI project launched by Google DeepMind.

We won’t fill the SDG financing gap without strong data and statistical systems

Participants in a data visualization workshop in Capetown

Empowering leaders and building bridges with data: Apply for the CAN climate and health data training