Creating Public Value by Exchanging Data
Solving today’s challenges — from addressing climate change to public health to job creation —will require greater access to data that resides within the private sector —e.g., click histories, online purchases, sensor data, and call detail records.
To fulfill the potential of data to improve people’s lives, we need to accelerate the creation and use of “Data Collaboratives”.
Creating Public Value...
Data collaboratives, when designed well,
can provide for better:
- Situational awareness and response
- Public service design and delivery
- Knowledge creation and transfer
- Prediction and forecasting
- Impact assessment and evaluation
...By Exchanging Data
There are six main types of Data Collaboratives:
Data Cooperatives or Pooling
Prizes & Challenges
Application Programming Interfaces (APIs)
Data Collaboratives Explorer
The real-world practice of Data Collaboratives is accelerating and evolving around the world. Browse the Data Collaboratives Explorer to learn more about dozens of examples where public value is generated by exchanging data, in sectors like health, crisis response, environment and infrastructure.
Designing a Data Collaborative
How can institutions establish Data Collaboratives and unlock previously inaccessible data to the end of solving public problems? Our Data Collaboratives Guide outlines 8 Phases for designing and implementing a Data Collaborative, complete with examples, enablers and resources to improve outcomes.
Data Responsibility Framework
Data Collaboratives introduce some level of risk. Learn more about risks across the data lifecycle and strategies for mitigating them with our Data Responsibility Framework.
Types of Data
The supply of data that could be brought to bear on public problems is diverse. Different types of data can be better suited for addressing certain types of problems and/or introduce different types of risk. Learn more about the types of data being shared in Data Collaboratives.