Orchestrating and Designing Data Collaboratives: What Governance Model is Fit for Purpose?
A paper presenting a purpose-driven framework for choosing and combining data governance models based on the specific challenges a data collaborative is designed to address.
The paper identifies seven governance archetypes—data intermediaries, data unions, data trusts, data commons, data cooperatives, data sandboxes, and data spaces—and explains the distinct coordination, power, legitimacy, ownership, uncertainty, and scaling challenges each is suited to address.
Rather than treating these models as competing approaches, it argues for “institutional orchestration,” in which data stewards select, combine, and adapt governance arrangements as data ecosystems and their needs evolve.
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