Alternative Data Governance Models: Moving Beyond One-Size-Fits-All Solutions

摘要

Data governance is currently dominated by the hegemonic model in which the data collector retains exclusive control over the data it collects. The overreach of this model has created problems in various fields that call for alternative data governance models. I have studied four emerging or envisioned alternative data governance models outside of the more known public open data: crowdsourced data commons, collective bargaining on rights over data, data requisition and data pooling between organisations. For each of them, I have examined the conditions of applicability and the main legal, economic and technical obstacles they face. This leads to my main conclusion: there is no one-size-fits-all alternative data governance model. Irrespective of regulators and actors' objectives, a workable alternative data ecosystem can only be built on a variety of data governance models.