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

How to Leverage Data for Better Transport, Digital Connectivity, and Sustainable Development in the Amazon

Google Mapbox Meta OOkla

The World Bank Transport team used data from Google, Mapbox, Meta, and Ookla to identify infrastructure gaps in the Amazon areas of Brazil, Colombia and Peru.

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Can private management of African protected areas improve socioeconomic and wildlife outcomes?

AtlasAI

African governments increasingly entrust the management of protected areas to private, nongovernmental organizations, with the hope that the significant resources and technical capacities of private organizations will help realize the potential of these areas.

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Advancing Women’s Empowerment Through Data

Data plays a fundamental role in identifying the challenges women are facing and in allowing policymakers and businesses to make informed decisions that improve women’s well-being and access to economic opportunities and overall development outcomes.

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