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.

抽象的 美国国立卫生研究院 (NIH) 正在建立一个新的健康与疾病多组学联盟，以推进多组学的应用 研究祖先多样化人群的健康和疾病的多组学技术。 包括三个部分：疾病研究中心 (DSS)、组学生产中心 (OPC) 和数据中心 分析与协调中心（DACC） 该项目旨在建立一个DACC来协调和支持。 为了发挥影响力，联盟的实验协议将促进联盟的活动并最大程度地取得成功。 必须透明且可复制，数据必须遵守 FAIR 指导原则（可查找、可访问、 可互操作、可重用），计算方法和软件工具必须向公众开放。 此外，需要一个交互式门户来直观地访问数据，并且需要专门的外展工作 我们组建了一支独特的调查人员团队，以协助社区使用数据。 争论者、软件工程师、生物信息学家和博士后组成 DACC 来应对挑战 确保高数据质量并最大限度地提高联盟的影响力 所有五名 DACC 调查员均已举行会议。 过去十年在大型财团中担任领导职务，并带来了数据协调方面的丰富专业知识， 我们的 DACC 将实现联盟的目标。 通过六个具体目标： 目标 1. 协调并促进联盟范围内的协议开发、数据 目标 2. 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 目标 3：创建可供更广泛的研究界使用的多维数据集。 目标 4. 设计、开发和维护一个用于编目、查询和可视化的开放访问门户 目标 5. 通过组织和促进内部和外部协调联盟物流。 目标 6. 协调社区外展和合作。 传播联盟的调查结果。