Development Data Partnership

Solving Development Challenges through Data Science Collaboration between Companies and International Organizations.

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Pillars

The Partnership improves the security, efficiency, and effectiveness of data partnerships for public good by building upon the following pillars.

Legal Foundation

Template data license agreements and MOUs between international organizations saves time and resources.

Data Marketplace

A web-based proposal management portal facilitates seamless interactions between Data and Development Partners.

Shared Secure IT Architecture

Centralized IT architecture and processes for ingesting, storing, and pre-processing data, as well as for coding collaboration, lower costs and facilitate secure data use.

Data Goods

Accessible code repositories for derived data products and algorithms broaden Partnership impact.

Data Governance

A robust data governance system guides best practices for responsible and ethical data use.

Data Partners

A Data Partner is an organization that provides data and/or services under the Master Data License Agreement.

Development Partners

A Development Partner is an international organization that receives data and/or services under the Master Data License Agreement.

How to Engage

Data Partner

The Partnership unlocks public good opportunities from proprietary data in a secure, responsible manner. Through partnership, Data Partners can open markets in emerging economies, discover new data methods that inform future products, and increase staff skills through collaboration and secondment opportunities.

Development Partner

The Partnership is open to donors and entities engaged in international development work. Members have access to the Data Partnership Portal and are invited to participate in exchanges and training activities.

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Projects & News

Prosperity at Risk: Flood Exposure and Wealth in Asia and the Pacific

Jba

Each year, floods drive millions of families across Asia and the Pacific from their homes—and often push them deeper into poverty.

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A Data-Driven Model for Urban Transport Emissions: Leveraging Global Mobility Data in Low- and Middle-Income Countries

Veraset

Urban transport is a major and growing contributor to greenhouse gas emissions and local air pollution, particularly in low- and middle-income countries (LMICs), where data constraints often limit effective policy design.

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Data-Driven Urban Transformation: Evaluating Bogotá’s Vital Neighborhoods Strategy

Mapbox

Cities around the world are rethinking how urban spaces are designed with the aim of improving people’s lives and promoting sustainable development.

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