NCATS RESEARCH SERVICES SECTION SUPPORT 2.0 (RSSS-2.0) POP 6/8/20 - 12/31/20.

NCATS 研究服务部分支持 2.0 (RSSS-2.0) POP 6/8/20 - 12/31/20。

• 批准号: 10285929
• 负责人: SUHAS SHARMA
• 金额: $ 68.66万
• 依托单位: AXLE INFORMATICS, LLC
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-08 至 2020-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10285929
• 关键词: Area; COVID-19; Clinical Research; Collaborations; Data; Data Analyses; Data Collection; Data Science; Data Set; Environment; Health; Informatics; Patients; Pythons; Research; Research Personnel; Risk Factors; Scientist; Secure; Services; Statistical Data Interpretation; United States; Visualization; cohort; coronavirus disease; data enclave; data harmonization; open source; protective factors; tool

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 国家新冠肺炎队列协作 (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，可为研究 COVID-19 的研究人员提供在线发现、可视化和协作。这些数据在规模和范围上都很强大，并被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 Data Enclave 预计将成为美国最大的 COVID-19 患者数据收集之一。 Enclave 内的数据分析由 R 和 Python 这两种使用最广泛的统计分析和数据科学开源平台提供支持。鼓励请求访问飞地或在飞地内工作的研究人员组建在临床研究、统计分析和信息学等领域具有不同专业知识的协作团队，以充分利用 N3C 数据飞地。该飞地的核心宗旨是它既可访问又安全，使研究人员能够在有利于协作发现的安全环境中进行研究，同时还允许部署各种开源工具和组件。