Solving Development Challenges through Data Science Collaboration between Companies and International Organizations.
Pillars
The Partnership improves the security, efficiency, and effectiveness of data partnerships for public good by building upon the following pillars.
Template data license agreements and MOUs between international organizations saves time and resources.
A web-based proposal management portal facilitates seamless interactions between Data and Development Partners.
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.
Accessible code repositories for derived data products and algorithms broaden Partnership impact.
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.
How to Engage
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.
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.
2025 Highlights: Driving Data for Development
2025 has been a year of meaningful progress for the Development Data Partnership. Together with our data and development partners, we have grown our community, expanded the scope and scale of project impacts, and promoted the responsible use of private sector data and AI models for development.
Learn moreAssessing Internet Quality in the Eastern Partnership (EaP) Countries
OoklaReliable internet is essential for inclusive public service delivery, enabling digital learning in schools, electronic health systems in clinics, and efficient government services.
Learn moreLeveraging JBA Data for Flood Risk Assessment in Rwanda’s Sustainable Landscape Management Framework
JbaThe Rwanda Sustainable Landscape Management Investment Framework (SLM-IF) outlines a comprehensive, long-term plan to encourage sustainable land use and manage natural resources, while restoring degraded ecosystems throughout Rwanda.
Learn more