TASK ORDER NO. 4, STSS PROGRAM SUPPORT AND TRANSITION-IN (4)

任务订单号

• 批准号: 10497583
• 负责人: SUHAS SHARMA
• 金额: $ 93.4万
• 依托单位: AXLE INFORMATICS, LLC
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10497583
• 关键词: Area; COVID-19; COVID-19 patient; Clinical Research; Collaborations; Data; Data Analyses; Data Collection; Data Science; Data Set; Environment; Health; Informatics; Pythons; Research; Research Personnel; Risk Factors; Scientist; Secure; Statistical Data Interpretation; United States; Visualization; cohort; coronavirus disease; data enclave; data harmonization; open source; open source tool; programs; protective factors

The NCATS National COVID Cohort Collaborative (N3C) Data Enclave, a centralized and secure data platform featuring powerful analytics capabilities for online discovery, visualization and collaboration for researchers studying COVID-19. The data are robust in scale and scope and are transformed into a harmonized data set to help scientists study COVID 19, including potential risk factors, protective factors and long-term health consequences. The N3C Data Enclave is anticipated to be one of the largest collections of data on COVID-19 patients in the United States. Data analysis within the enclave is supported by both R and Python, the most widely used open-source platforms for statistical analysis and data science. Researchers requesting access to, or working within, the enclave are encouraged to assemble collaborative teams with diverse expertise in such areas as clinical research, statistical analysis and informatics to make the best use of the N3C Data Enclave. A core tenet of the enclave is that it is both accessible and secure, allowing researchers to pursue research in a safe environment conducive to collaborative discovery while also allowing for the deployment of a wide variety of open source tools and components.

NCATS National Covid队列合作（N3C）数据飞地是一个集中且安全的数据平台，具有强大的分析功能，可用于在线发现，可视化和协作COVID-19的在线发现，可视化和协作。数据的规模和范围很强，并转化为统一的数据集，以帮助科学家研究Covid 19，包括潜在的风险因素，保护因素和长期健康后果。 N3C数据飞地预计将是美国Covid-19患者的最大数据收集之一。 R和Python支持了飞地内的数据分析，R和Python是用于统计分析和数据科学的开源平台。鼓励要求访问或在室内工作的研究人员在临床研究，统计分析和信息学等领域中组装具有多种专业知识的协作团队，以充分利用N3C数据飞地。飞地的核心宗旨是它既可以访问又安全，这使研究人员可以在安全的环境中进行协作发现的研究，同时还可以部署各种开源的工具和组件。