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.
Using Private-Sector Data to Support Transportation Planning in Bali
Meta Waze Mapbox GrabMapsBali is working toward a more resilient, low-carbon, and better-connected future. Its broader transportation vision includes improving urban mobility, expanding access across the island, and accelerating the transition to greener transportation.
Learn moreProsperity at Risk: Flood Exposure and Wealth in Asia and the Pacific
JbaEach year, floods drive millions of families across Asia and the Pacific from their homes—and often push them deeper into poverty.
Learn moreA Data-Driven Model for Urban Transport Emissions: Leveraging Global Mobility Data in Low- and Middle-Income Countries
VerasetUrban 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.
Learn more