STSS TASK ORDER - NATIONAL CLINICAL DATA COLLABORATIVE (NACDAC)

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计划基本上是一个中型企业，由数千名研究人员组成，需要企业级信息技术（IT）支持作为虚拟研究组织（VRO）的一部分。该合同是必要的，以确保NCATS和N3 C能够继续为安全，协作，VRO提供足够的支持。该合同允许继续支持VRO，VRO支持所有必要的信息技术功能，以支持超过4，000个用户的环境，包括基于云的生产力工具，服务台，商业和开源分析工具的部署，供社区使用，以及扩展可用于分析的数据类型，如成像，病毒变异基因组序列，共同的需求是共享一个协作云环境，该环境能够嵌入数十亿个数据点，并针对多模态数据类型执行各种复杂分析，这些数据类型包括病理学和放射学数据、合成数据、基因组信息、电子健康记录（EHR）以及各种其他数据。所有这些都必须在满足最高级别的安全和隐私的同时完成，因为收集的某些数据类型非常敏感，而且在环境中所做的工作非常重要。该合同为所有这些企业IT工作提供支持。

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 program is essentially a medium sized business, consisting of thousands of researchers, requiring enterprise level information technology (IT) support as part of a virtual research organization (VRO). This contract is necessary to ensure that NCATS and N3C can continue to provide adequate support for a secure, collaborative, VRO. This contract allows for continued support of the VRO which supports all of the required information technology functions to support an environment of over 4,000 users, including cloud-based productivity tools, a service desk, commercial and open-source deployments of analytical tools for the community to use, and expansion of the data types available for analysis, such as imaging, viral variant genomic sequences, etc. The common need is to share a collaborative cloud environment capable of ingesting billions of data points and performing a variety of complex analyses against multimodal data types, ranging from pathology and radiology data, synthetic data, genomic information, electronic health records (EHRs) and a wide variety of others. All of this must be done while meeting the highest levels of security and privacy, given the sensitivity of some of the data types being collected and the importance of the work being done in the environment. This contract provides support for all of these enterprise IT efforts.