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Creating Public Value by Exchanging Data

What are Data Collaboratives

Data Collaboratives are a new form of collaboration, beyond the public-private partnership model, in which participants from different sectors — in particular companies -  exchange their data to create public value.

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
Learn More

...By Exchanging Data

There are six main types of Data Collaboratives:

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Data Cooperatives or Pooling

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Prizes & Challenges

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Research Partnerships

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Intelligence Products

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Application Programming Interfaces (APIs)

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Trusted Intermediary

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.