Development Data Partnership

A partnership between international organizations and companies, created to facilitate the use of third-party data in research and international development.

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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

Development Data Partnership Day 2022

This day is dedicated to addressing global climate, health, and food security challenges through public-private data science collaboration. Speakers from LinkedIn, Google, Data for Good at Meta, Spectus (formerly Cuebiq), Ookla for Good, and Mapbox will share their latest experiences on data science collaboration for public good, while leadership and colleagues from the IDB, UNDP, IMF, and the World Bank will introduce project impacts.

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Social Norms and Gender Equality in South Asia


This blog highlights recent work from a larger body of research on gender equality carried out at the World Bank. The blog itself relies on Chapter 3 of this report South Asia Economic Focus Reshaping Norms: A New Way Forward.

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Buenos Aires Transport Demand Planning


Challenge The COVID-19 pandemic and the lockdown measures implemented in 2020 had a significant impact on mobility in the Metropolitan Area of Buenos Aires (AMBA), adding new constrains to the travel behaviours of residents and businesses.

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