
A partnership between international organizations and companies, created to facilitate the use of third-party data in research and international development.
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.
Where did everyone go? Potential of digital movement data for natural hazards management
CuebiqTaking the 2017 earthquake as a case study, recent work by our team at the Global Facility for Disaster Reduction and Recovery (GFDRR)/World Bank is uncovering valuable applications for this digital movement data and building open-source tools to bring these methods into the mainstream of disaster risk management.
Learn moreDevelopment Data Partnership Day 2022
This day is dedicated to addressing global climate, health, and food security challenges through public-private data science collaboration. Speakers from LinkedIn, Google, Meta, Spectus (formerly Cuebiq), Ookla, and Mapbox will share their latest experiences on data science collaboration for public good, while leadership and colleagues from the IDB, UNDP, IMF, and the World Bank will introduce project impacts.
Learn moreA Data-Driven Framework to Support Bogota’s Barrios Vitales Project
Waze Unacast MapboxA data-driven framework to support the design, implementation, and evaluation of a superblock model in Bogotá from a speed management perspective and inform street design alternatives in the urban space.
Learn more