![Development Data Partnership](/images/logo-title.png)
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.
![Spectus](images/spectus.png)
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.
Monitoring and Simulating Trade Disruptions through Satellite-Based Vessel Data and Big Data Analytics
EsriGlobal supply chains are increasingly vulnerable to the impacts of climate change, natural hazards and geopolitical trade tensions. The International Monetary Fund and the Environmental Change Instituteat the University of Oxford established PortWatch to help people assess the domestic and international trade impact of actual and future disruptions.
Learn moreUncovering the Digital Divide in Brazil: Data Reveals Internet Inequality Across Income Groups
OoklaLeveraging data from Ookla for Good™, the World Bank’s Digital Development Global Practice has analyzed the relationship between internet speed and income inequality within a sample of Brazilian cities.
Learn moreMacroeconomic Monitoring with Google Trends
GoogleChallenges such as a lack of timely high-frequency data make it difficult to monitor and evaluate changing economic situations. Google’s weekly search volume index (SVI) helped the International Monetary Fund provide more timely response and assessment of economic activity especially in Labor Markets and Tourism.
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