The term “data collaborative” refers to 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. This resource outlines eight phases for designing and implementing a data collaborative (partnership) at an institutional level with examples, enablers, tools, and resources for each phase.
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The Power of Partnerships
'If you want to go fast, go alone, but if you want to go far, go together,' the saying goes. That’s why collaboration is a powerful tool. Whether building internal capacity to execute a data science project or creating agreements with other value-aligned organizations to share data, partnerships can yield enormous benefits. But in reality, they can also present challenges.
Resources from The CALP Network, Humdata and +3