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Making global data easier to explore
The UN system is launching the UN System Data Commons, an open-source platform that integrates global statistics into a single, AI-ready knowledge graph.
Why it matters
It allows researchers, journalists, and policymakers to find and connect complex global data using plain language, reducing the manual labor previously required to format siloed datasets.
The big picture
The platform's use of the Model Context Protocol (MCP) aligns with other Google-supported technologies used for data automation, such as the Lucius AI platform.
The details
Users can explore data through an Explore tab filtered by location or theme, or use natural-language queries to ask specific questions. AI agents can autonomously fetch authoritative figures to create charts, graphs, and draft reports.
What's next
The UN system aims to include 80% of its statistical datasets in the platform by 2027.
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In this article
Key connections
UN System Data Commons is built with Data Commons
UN System Data Commons—an open-source platform built on Data Commons
Google.org funds UN Foundation
With support from Google.org to the UN Foundation
UN System Data Commons uses UNICEF
using UNICEF data to explore what works to reduce child poverty
Data Commons is built with Model Context Protocol (MCP)
Built on open standards like the Model Context Protocol (MCP), Data Commons makes data AI ready
AI Agents uses UN System Data Commons
enabling AI agents to autonomously fetch authoritative figures directly from the UN System Data Commons
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