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.
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.
Development Data Partnership Day 2026
Development Data Partnership Day | June 3, 2026 | 8:30 a.m. – 1:00 p.m. ET Preston Auditorium, World Bank Group Headquarters, Washington, DC Join researchers and practitioners from leading technology companies and international organizations to explore what public-private data partnerships are delivering — and where they’re headed.
Learn moreThe Digitalization Transition in Argentina, Brazil, Chile, Colombia, Mexico and Peru Through the Lens of the LinkedIn Skill Genome Data
LinkedInA World Bank study funded by the Digital Development Trust Fund examined how advanced digital skills emerged, evolved, and were adopted in six Latin American countries by using LinkedIn data.
Learn moreBuilding Stronger Health Systems with Data
Mapbox OoklaWhat determines whether health services reach those who need them most? It is not only the presence of hospitals, clinics, or healthcare workers.
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