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.

项目概要/摘要 COVID-19 大流行带来了前所未有的临床和公共卫生挑战。虽然机构 收集有关 COVID-19 病例的大量临床数据，这些数据集单独可能并不多样化 足以得出人口水平的结论。此外，统计、机器学习和因果分析是最重要的 成功处理超出任何特定组织可用的大规模数据。为了解决这个问题， NCATS 推出了国家新冠肺炎队列协作 (N3C)，这是一项基于社区的开放科学倡议 共享患者级别数据进行分析。该倡议要求参与机构共享以下信息： 以标准驱动的方式分析他们的 COVID-19 患者，包括人口统计、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整合， 并将通过集中分析平台向调查人员提供访问权限。 COVID-19 数据 与 N3C 倡议共享合作提供了一种启动与其他 NIH 合作的机制 赞助数据共享计划，例如“我们所有人研究计划”(AoURP)。 该行政补充文件将支持 VCU 数据清理和标准化以及传输数据的工作 将其保存到 N3C 数据存储库。该增刊还将协助莱特引入新服务 中心支持我们的调查人员使用 N3C 资源。它还将促进与 AoURP 通过建立一个管道来收集和传输同意的患者 EHR 数据并通过构建 现有的社区外展途径，为 AoURP 招募更多参与者。项目 将由 PI/执行委员会监督，并由研究信息学总监监督。 我们当地 CTSA 中心开发的程序和服务将共享并传播给 CTSA 网络。