MIDAS Coordination Center

MIDAS协调中心

• 批准号: 10457369
• 负责人: HARRY S HOCHHEISER
• 金额: $ 131.8万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10457369
• 关键词: Acceleration; Antigenic Variation; Big Data to Knowledge; Biological; Budgets; Catalogs; Collaborations; Communicable Diseases; Communication; Communities; Computational algorithm; Computer Models; Computer software; Data; Data Commons; Data Science; Data Scientist; Data Set; Data Storage and Retrieval; Dengue; Development; Disease; Doctor of Philosophy; Education; Electronic Mail; Elements; Environment; Epidemiologist; Epidemiology; FAIR principles; Face; Funding; Goals; Gold; Government; Health; High Performance Computing; Human; Immune; Improve Access; Individual; Informatics; Information Technology; Infrastructure; International; Investments; Knowledge Discovery; Lead; Leadership; Letters; Licensing; Measures; Metadata; Modeling; National Institute of General Medical Sciences; Paper; Patients; Pennsylvania; Plant Roots; Population; Process; Protocols documentation; Publishing; Reporting; Reproducibility; Research; Research Design; Research Personnel; Research Project Grants; Resources; Role; Science; Scientist; Services; Southeastern Asia; Standardization; Streptococcus pneumoniae; Structure; Study models; Technology; Temperature; Testing; To specify; Trust; United States National Institutes of Health; Universities; Virus; Work; ZIKA; base; cohort; community based research; data access; data modeling; data reuse; data sharing; design; disorder control; genome resource; improved; indexing; infectious disease model; innovation; international partnership; interoperability; meetings; member; molecular scale; mosquito-borne; new technology; open data; outreach; programs; repository; research study; social; surveillance data; transmission process

Project Summary The Models of Infectious Disease Agent Study (MIDAS) research network has been highly productive, and a key challenge faced by the MIDAS and the general scientific community is how to make its models and datasets accessible to others so as to amplify and accelerate the research and discovery process. The value of data and software as research products has been widely acknowledged, but individual researchers can face persistent barriers to data sharing, including the prevailing “publish or perish” paradigm as the main driver for academic tenure and promotion. While new technology can enable data sharing, a social-cultural, human- based approach is essential to improve data access and reuse in a community. We propose to create a MIDAS Coordinating Center (MCC) that is investigator-focused, with the long-term goal of increasing the use of MIDAS research products for new research and discovery. Our approach will follow FAIR Data Principles developed by the NIH Data Commons Consortium to specify requirements for Findable, Accessible, Interoperable, and Reusable research products. We will leverage FAIR-enabling technology developed by the Informatics Services Group (the current MIDAS Information Technology Resource) and add community-based research, outreach, education, and governance. We propose the following specific aims: (1) Facilitate compliance of MIDAS datasets and software with FAIR Data Principles; (2) Create FAIR "gold standard datasets" (GSD) to improve testing of MIDAS models; (3) Create a dynamic infrastructure and support services for data storage and high-performance computing; (4) Coordinate outreach through an annual network meeting and improved electronic communication channels; (5) Educate MIDAS trainees in open science and research design principles; and (6) Create executable workflow representations of MIDAS models to improve model testing and reproducibility. The MCC will augment the impact of NIGMS investments in basic scientific research by improving the use of MIDAS research products. Other scientists or computer algorithms will be able to discover, access, and integrate MIDAS products and increasingly, machine-driven access to, and use of, datasets and software will accelerate the rate of new discoveries and innovation for control of infectious disease threats. The MCC will be led by Dr. Wilbert van Panhuis, MD, PhD, who has worked as epidemiological modeler in the Pitt MIDAS Center of Excellence, and who has collaborated as data scientist with the ISG. Dr. Van Panhuis has a unique track record of unlocking access to valuable datasets previously unavailable to MIDAS and a proven ability to design, and successfully lead, large-scale international collaborations. As PI of the MCC Dr. Van Panhuis will proactively collaborate with MIDAS investigators and the MIDAS Steering Committee. The other MCC team members are also firmly rooted into the MIDAS community and have complementary expertise in infectious disease and data science.

项目摘要 传染病剂研究（MIDAS）研究网络的模型的生产力很高，并且 MIDAS和一般科学界面临的关键挑战是如何制作其模型和 其他人可以访问数据集，以扩大和加速研究和发现过程。价值 数据和软件作为研究产品已得到广泛认可，但是个别研究人员可以面对 数据共享的持续障碍，包括主要的“发布或灭亡”范式作为主要驱动力 学术任期和晋升。尽管新技术可以使数据共享，但社会文化，人类 - 基于的方法对于改善社区中的数据访问和重复使用至关重要。我们建议创建一个 MIDAS协调中心（MCC）以研究人员为中心，其长期目标是增加 将MIDAS研究产品用于新的研究和发现。我们的方法将遵循公平数据 NIH数据共享联盟制定的原则，以指定可发现的，可访问的要求 可互操作和可重复使用的研究产品。我们将利用由 Informatics Services小组（当前的MIDAS信息技术资源）并添加基于社区的基于社区 研究，外展，教育和治理。我们提出以下特定目的：（1）促进 MIDAS数据集和软件符合公平数据原则； （2）创建公平的“黄金标准 数据集”（GSD）改善MIDAS模型的测试；（3）创建动态基础架构和支持服务 用于数据存储和高性能计算； （4）通过年度网络会议协调外展 并改善了电子通信渠道； （5）教育开放科学和研究的MIDAS学员 设计原则； （6）创建MIDAS模型的可执行工作流表示形式以改进模型 测试和可重复性。 MCC将增强NIGMS投资对基本科学的影响 通过改善MIDAS研究产品的使用来进行研究。其他科学家或计算机算法将是 能够发现，访问和集成MIDAS产品，并越来越多地通过机器驱动的访问和使用 of，数据集和软件将加速新发现的速度和创新，以控制感染力 疾病威胁。 MCC将由医学博士Wilbert Van Panhuis博士领导，他曾担任 皮特·米达斯（Pitt Midas）卓越中心的流行病学建模师，并与数据科学家合作 与ISG。 Van Panhuis博士以前有独特的记录，以解锁访问有价值的数据集 MIDAS不可用，并且具有行之有效的设计和成功领导大型国际的能力 协作。由于MCC的PI，Van Panhuis博士将与Midas调查人员和 MIDAS指导委员会。其他MCC团队成员也首先植根于MIDAS社区 并拥有传染病和数据科学方面的完整专业知识。