The Global Partnership blog features commentary from in-house experts, and partners, with thought leadership on pressing issues in data for development. You will also find links to the latest Data Values Digest articles with thought-provoking posts from across the Data Values community on unlocking the value of data for all.
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The latest from the Data Values Community
Sustainable development data needs good statistics officials–but how strong are their data skills?
José Antonio Mejía Guerra, Christian Schuster, Magdalena Rojas, Jan Meyer-Sahling, and Kim Mikkelsen share insights from their survey of 13,300 statistics officials in 14 countries in Latin America and the Caribbean on the skillsets of statistics officials.
Building trust through data in rural Nigeria
Digest #85 | Without data that helps governments understand the reality of disabled people’s lives, policies can leave critical needs unaddressed. Inclusive data can break this cycle, writes Zuliehat Ohunene Abdullahi.
Building AI with - not for - communities
Digest #84 | AI is one of the most promising technologies in decades for those working in international development, but new technologies cannot succeed in isolation, writes Ronda Železný-Green, PhD.
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Data for impact: What governments can learn from schools

Introducing our new Data Values Advocates

Spaghetti and statistics: Measuring the real cost of living

Strengthening food security and nutrition policies in response to COVID-19

COVID-19 is hitting the poorest the hardest, but inclusive data can help protect them

A tale of two city council districts: The importance of disaggregated data to accurately measure SDGs in the United States

Happy birthday to the Inclusive Data Charter

CEO Claire Melamed's remarks at the UK Voluntary National Review

Press Release: Donors Announce Major Push to Generate Funding for “Data to End Hunger” for 500 Million Smallholder Farmers

How the agriculture sector is leading the way for investment in data

10 Governments and Organizations Announce Commitments to Inclusive, Representative Data
