DARE: Creating the blueprint for a federated network of next generation, cross-council Trusted Research Environments.

解决社会的复杂挑战需要专家们共同努力，研究为不同目的&从不同来源和地点收集的数据。然而，合并数据是具有挑战性的。公众对数据安全和访问存在担忧，特别是对健康数据。数据治理(数据共享的法律和道德框架)至关重要。在组合以不同的“数据语言”收集的数据方面存在技术挑战，即在建立安全的计算机网络以支持协作工作的同时保护隐私。FED-Net建立在我们的操作系统之上，为分析按地理和数据语言分离的数据集的技术和管理挑战提供了可扩展的解决方案。我们与患者、公众、分析师和临床医生合作，共同设计了一种安全的方法来将敏感的健康数据与其他数据结合在一起，在5家NHS医院工作。我们共同构建了一个透明的治理流程，确保数据访问是合法的，并受到充分的公众监督。我们将使用数据留在原地和分析移动的“联合分析”来扩展我们现有的可信研究环境(确保数据隐私但支持大规模分析的安全环境)。我们将测试如何将不同的数据语言转换为通用标准，重点是在研究中高度有价值的数据(实验室科学、气象数据)，但很少有数据可用，使用哮喘研究。我们将通过公共和专家研讨会测试我们的治理解决方案。

Solving society’s complex challenges requires experts working together, studying data collected for different purposes & from different sources & locations. However, combining data is challenging. There are public concerns about data security & access, especially for health data. Data governance (legal & ethical frameworks for data sharing) is critical. There are technical challenges in combining data collected in different “data languages” & in building secure computer networks which enable collaborative work, but protect privacy.FED-NET builds on our operational system, providing a scalable solution to the technical & governance challenges of analysing datasets separated by geography & data language.Working with patients, the public, analysts & clinicians, we have co-designed a secure way to combine sensitive health data with other data, working across 5 NHS hospitals. We have co-built a transparent governance process, ensuring data access is legal, with full public oversight.We will scale our existing Trusted Research Environments (secure environments that ensure data privacy but enable large scale analytics) using “federated analytics” where the data stays put & the analysis moves.We will test how different data languages can be translated into a common standard, focusing on data highly valued in research (laboratory science, meteorological data) but rarely available, using a study of asthma. We will test our governance solution, through public and expert workshops.