N3C & All of Us Research Program Collaborative Project

N3C

• 批准号: 10217339
• 负责人: FREDERICK Gerard MOELLER
• 金额: $ 34.66万
• 依托单位: VIRGINIA COMMONWEALTH UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-08-22 至 2023-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10217339
• 关键词: Administrative Supplement; All of Us Research Program; COVID-19; COVID-19 pandemic; Clinical; Clinical Data; Clinical Research; Clinical Trials; Collaborations; Communities; Community Outreach; Consent; Data; Data Analyses; Data Set; Development; Diagnosis; Disease; Ecosystem; Effectiveness; Funding Opportunities; Goals; Health; Health Status; Individual; Informatics; Infrastructure; Institution; Laboratories; Outcomes Research; Participant; Pathway interactions; Patients; Pharmaceutical Preparations; Population; Positioning Attribute; Procedures; Public Health; Research; Research Personnel; Resource Informatics; Resources; Services; Supervision; Testing; Translational Research; United States National Institutes of Health; base; biomedical informatics; clinical center; cohort; coronavirus disease; data resource; data sharing; data standards; data warehouse; demographics; design; improved; informatics infrastructure; innovation; large scale data; multi-site trial; network informatics; open data; pandemic disease; parent grant; programs; recruit; response; statistical and machine learning; tool

Project Summary/Abstract The COVID-19 pandemic presents unprecedented clinical and public health challenges. Though institutions collect large amounts of clinical data about COVID-19 cases, these datasets individually might not be diverse enough to draw population level conclusions. Also, statistical, machine learning, and causal analyses are most successful with large-scale data beyond what is available in any given organization. To tackle this problem, NCATS introduced the National COVID Cohort Collaborative (N3C), an open science, community-based initiative to share patient level data for analysis. The initiative requires participating institutions to share information about their COVID-19 patients in a standard-driven way, including demographics, vital signs, diagnoses, laboratory results, medications, and other treatments. The data from multiple institutions will be merged and consolidated, and access will be provided to investigators through a centralized analytical platform. The COVID-19 data sharing collaboration with the N3C initiative offers a mechanism to initiate collaborations with other NIH sponsored data sharing programs, such as the All of Us Research Program (AoURP). This administrative supplement will support efforts to clean and standardize data at VCU, and to transfer it to the N3C data repository. The supplement will also assist in introducing new services at the Wright Center to support our investigators to use the N3C resources. It will also enable collaboration with the AoURP by establishing a pipeline to collect and transmit consented patients' EHR data and by building on existing community outreach pathways to recruit additional participants for the AoURP. The project will be overseen by the PI/Executive Committee and supervised by the Director of Research Informatics. Procedures and services developed at our local CTSA hub will be shared and disseminated to the CTSA network.

项目摘要/摘要 新冠肺炎大流行带来了前所未有的临床和公共卫生挑战。虽然机构 收集大量有关新冠肺炎病例的临床数据，这些数据集单独可能并不多样 足以得出人口水平的结论。此外，统计、机器学习和因果分析也是最多的 成功处理超出任何给定组织可用范围的大规模数据。为了解决这个问题， NCATS介绍了国家COVID队列合作(N3C)，这是一个开放的、以社区为基础的科学倡议 共享患者级别数据以进行分析。该倡议要求参与机构分享有关 他们的新冠肺炎患者以标准驱动的方式，包括人口统计数据、生命体征、诊断、实验室 结果、药物和其他治疗。来自多个机构的数据将被合并和合并， 并将通过一个集中的分析平台向调查人员提供准入。《新冠肺炎》数据 与N3C计划共享协作提供了一种启动与其他NIH协作的机制 赞助的数据共享计划，如我们所有人研究计划(AoURP)。 这一行政补充将支持VCU清理和标准化数据的努力，并将 将其发送到N3C数据存储库。该副刊还将有助于在莱特推出新的服务 中心支持我们的调查人员使用N3C资源。它还将支持与 AoURP通过建立收集和传输同意患者的EHR数据的管道并通过建立 在现有的社区外展途径上，为AoURP招募更多的参与者。该项目 将由PI/执行委员会监督，并由研究信息学主任监督。 在我们当地的CTSA中心制定的程序和服务将被分享并传播给CTSA 网络。