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.
From Data to Cleaner Air: How Data Partnerships Are Helping Cities Tackle Air Pollution
GrabMaps Quadrant VesselBot Veraset WazeImproving air quality is essential to sustainable development because air pollution harms public health, reduces economic productivity, and diminishes people’s quality of life.
Learn moreHelping Southeast Asian Cities Improve Air Quality with Data
GrabMaps Quadrant VesselBotTraffic congestion is not only a mobility challenge. In many cities, it is also a public health challenge. An Asian Development Bank (ADB) project leverages data from GrabMaps, Quadrant, and VesselBot to model traffic and emissions in Southeast Asian cities, with the aim of helping policymakers better understand the impact of their transport policies.
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 more