Data Collaboratives are a new form of collaboration, beyond the public-private partnership model, in which participants from different sectors — including private companies, research institutions, and government agencies — can exchange data to help solve public problems. They range from the use of telecom data to inform urban planning to intelligence products illuminating economic trends developed with proprietary financial data to agricultural analyses generated through satellite imagery data.
The repository has become the most comprehensive mapping of data collaboratives worldwide.
Based upon this curated universe, we can extract best practices and lessons learned and translate these into a canvas on how to create new data collaboratives and address the existing hurdles facing data collaboratives effort.
Taking stock…in numbers
As of this blog update, we have identified and curated 145 data collaboratives examples in our repository, with the following breakdowns based on the type of collaboration, region, and sector. Detailed descriptions of each category can be found here.
Type of Collaboration