Multi-Omics DACC: The Data Analysis and Coordination Center for the collaborative multi-omics for health and disease initiative

多组学 DACC：健康和疾病协作多组学计划的数据分析和协调中心

• 批准号: 10744561
• 负责人: Anshul Kundaje
• 金额: $ 311.62万
• 依托单位: UNIV OF MASSACHUSETTS MED SCH WORCESTER
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-12 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10744561
• 关键词: Agreement; Biological; Cataloging; Collaborations; Communication; Communities; Community Outreach; Computing Methodologies; Data; Data Analyses; Data Collection; Data Set; Dedications; Disease; Ensure; Environmental Exposure; FAIR principles; Goals; Health; Intuition; Leadership; Logistics; Machine Learning; Metadata; Methods; Multiomic Data; Participant; Phenotype; Population Heterogeneity; Positioning Attribute; Postdoctoral Fellow; Process; Production; Protocols documentation; Quality Control; Reproducibility; Research; Research Personnel; Resources; Secure; Services; Site; Software Engineering; Software Tools; Specific qualifier value; Standardization; Statistical Methods; Technology; United States National Institutes of Health; Update; Visualization; Work; analysis pipeline; computational pipelines; data analysis pipeline; data harmonization; data integration; data modeling; data portal; data quality; data standards; data submission; design; experience; meetings; method development; multidimensional data; multiple omics; novel; outreach; protocol development; social media; success; symposium

ABSTRACT The NIH is establishing a new Multi-Omics for Health and Disease Consortium to advance the application of multi-omic technologies to study health and disease in ancestrally diverse populations. The Consortium comprises three components: Disease Study Sites (DSSs), ‘Omics Production Centers (OPCs), and a Data Analysis and Coordination Center (DACC). The project aims to establish a DACC to coordinate and support the Consortium’s activities and maximize its success. To be impactful, the Consortium’s experimental protocols must be transparent and reproducible, data must adhere to the FAIR guiding principles (Findable, Accessible, Interoperable, Reusable), and computational methods and software tools must be open to the public. Furthermore, an interactive portal is needed for intuitive access to the data, and dedicated outreach efforts are required to assist the community in data use. We have assembled a unique team of investigators, data wranglers, software engineers, bioinformaticians, and postdocs to form a DACC to meet the challenges of ensuring high data quality and maximizing the consortium’s impact. All five DACC investigators have held leadership positions in large consortia in the past decade and bring substantial expertise in data coordination, management, harmonization, analysis, and integration. Our DACC will accomplish the goals of the Consortium via six specific aims: Aim 1. Coordinating and contributing to Consortium-wide protocol development, data analysis, and methods development. Aim 2. Managing and securing Consortium data by specifying metadata, establishing submission processes and standards, and incorporating experimental data and analysis results into AnVIL. Aim 3. Creating a multi-dimensional dataset that is available to the broader research community. Aim 4. Designing, developing, and maintaining an open-access portal for cataloging, querying, and visualizing summary-level data. Aim 5. Coordinating consortium logistics by organizing and facilitating internal and external activities, communications, and collaborations. Aim 6. Coordinating community outreach and dissemination of Consortium findings.

摘要 NIH正在建立一个新的健康和疾病多组学联盟，以推进 多组学技术，以研究健康和疾病的祖先不同的人群。该财团 包括三个组成部分：疾病研究中心（DSS）、组学生产中心（OPC）和数据中心（Data Center）。 分析和协调中心（DACC）。该项目旨在建立一个DACC， 集团的活动，并最大限度地取得成功。为了产生影响，联盟的实验方案 必须是透明的和可复制的，数据必须遵守公平的指导原则（可查找，可解释， 可互操作的、可重用的），以及计算方法和软件工具必须向公众开放。 此外，还需要一个互动门户网站，以便直观地访问数据， 帮助社区使用数据。我们组建了一个独特的调查小组， 管理员、软件工程师、生物信息学家和博士后组成DACC，以应对 确保高质量的数据并最大限度地发挥联合体的影响。所有五名DACC调查人员都持有 在过去十年中，他在大型财团中担任领导职务，并在数据协调方面拥有丰富的专业知识， 管理、协调、分析和整合。我们的DACC将实现联盟的目标 通过六个具体目标：目标1。协调和促进联盟范围内的方案制定、数据 分析和方法开发。目标二。通过指定元数据来管理和保护联盟数据， 建立提交流程和标准，并纳入实验数据和分析结果 安维尔目标3。创建可供更广泛研究社区使用的多维数据集。 目标4。设计、开发和维护用于编目、查询和可视化的开放访问门户 摘要级数据。目标5。通过组织和促进内部和外部物流， 外部活动、沟通和合作。目标6。协调社区外展活动， 传播联合会的调查结果。