Data sharing partnerships are increasingly an imperative for research institutions and, at the same time, a challenge for established models of data governance and ethical research oversight. We analyse four cases of data partnership involving academic institutions and examine the role afforded to the research partner in negotiating the relationship between risk, value, trust and ethics. Within this terrain, far from being a restraint on financialisation, the instrumentation of ethics forms part of the wider mobilisation of infrastructure for the realisation of profit in the big data economy. Under what we term `combinatorial data governance' academic structures for the management of research ethics are instrumentalised as organisational functions that serve to mitigate reputational damage and societal distrust. In the alternative model of `experimental data governance' researchers propose frameworks and instruments for the rethinking of data ethics and the risks associated with it - a model that is promising but limited in its practical application.

翻译：数据共享合作日益成为研究机构的必要之举，同时也对既有的数据治理与伦理研究监督模式构成挑战。我们分析了涉及学术机构的四个数据合作案例，考察研究伙伴在风险、价值、信任与伦理关系谈判中所承担的角色。在此领域内，伦理工具化远非对金融化的约束，而是构成大数据经济中基础设施更广泛动员的一部分，以实现利润获取。在我们所称的“组合型数据治理”中，用于管理研究伦理的学术结构被工具化为组织功能，用以减轻声誉损害与社会不信任。在“实验型数据治理”这一替代模式中，研究者提出了重新思考数据伦理及其相关风险的框架与工具——这种模式虽有前景，但其实际应用仍存在局限。