SECURE PLATFORMS SUPPORT FOR THE N3C DATA ENCLAVE (COVID-19)

国家COVID-19队列协作（N3 C）：国家COVID-19队列协作（N3 C）赞助NIH COVID-19数据飞地，https：//covid.cd2h.org/，这是世界上支持COVID-19研究的最大数据飞地之一。N3 C是NCATS支持的临床和转化科学奖（CTSA）计划中心，国家健康数据中心（CD 2 H）和NIGMS支持的临床和转化研究机构发展奖网络（IDEA-CTR）之间的合作伙伴关系，由NCATS全面管理。N3 C Data Enclave是一个安全的平台，存储由60多个贡献成员提供的统一临床数据。Enclave对超过680万人进行了超过6.7亿次临床观察，其中包括超过220万例COVID病例，总计超过78亿行数据。为了保护隐私，这些数据仅包括有限的数据集、去识别数据集和合成数据集;飞地中没有保存任何个人身份信息。飞地位于NCATS安全科学平台环境中。环境是一个专门的基于云的数据聚合和分析飞地，可以集成，管理，保护和分析任何类型的科学数据，并为内部和外部合作者提供安全，受控的访问。在环境中，多个NIH IC，联邦机构和联邦工作组使用专用平台集成，管理，保护和分析所有类型的科学数据，并且同样重要的是，使这些数据在相互之间以及与外部合作者的特定和受控合作中可用。

National COVID-19 Cohort Collaborative (N3C): The National COVID-19 Cohort Collaborative (N3C) sponsors the NIH COVID-19 Data Enclave, https://covid.cd2h.org/, one of the largest data enclaves in the world supporting COVID-19 research. N3C is a partnership among the NCATS-supported Clinical and Translational Science Awards (CTSA) Program hubs, the National Center for Data to Health (CD2H), and the NIGMS-supported Institutional Development Award Networks for Clinical and Translational Research (IDeA-CTR), with overall stewardship by NCATS. The N3C Data Enclave is a secure platform storing harmonized clinical data provided by more than 60 contributing members. The Enclave hosts over 670 million clinical observations on over 6.8 million persons, including over 2.2 million COVID cases, amounting to more than 7.8 billion rows of data. To protect privacy, this data consists only of limited data sets, de-identified data sets, and synthetic data sets; there is no personally identifiable information kept in the Enclave. The Enclave resides in the NCATS Secure Scientific Platforms Environment. The Environment is a specialized cloud-based data aggregation and analytics enclave that can integrate, manage, secure, and analyze any kind of scientific data, and provide secure, controlled access to internal and external collaborators. Within the Environment, multiple NIH ICs, Federal agencies, and Federal task forces integrate, manage, secure, and analyze all types of scientific data using dedicated platforms, and, equally importantly, make that data available in specific and controlled collaborations with each other and with external collaborators.