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 传染病病原体研究模型（MIDAS）研究网络的生产力很高， MIDAS和一般科学界面临的主要挑战是如何制作模型， 其他人可以访问数据集，以扩大和加速研究和发现过程。的价值 数据和软件作为研究产品已被广泛承认，但个别研究人员可能面临 持续存在的数据共享障碍，包括普遍存在的"不公布就毁灭"范式， 学术终身制和晋升。虽然新技术可以实现数据共享，但社会文化，人类- 的方法是必不可少的，以改善社区中的数据访问和重用。我们建议开设一个 MIDAS协调中心（MCC），重点是制造商，长期目标是增加 使用MIDAS研究产品进行新的研究和发现。我们的方法将遵循公平数据 NIH数据共享联盟制定的原则，规定了对可查找、可解释、 可互操作和可重复使用的研究产品。我们将利用由美国国家航空航天局开发的FAIR技术， Informatics Services Group（当前的MIDAS信息技术资源），并添加基于社区的 研究、推广、教育和治理。我们提出以下具体目标：（1）促进 MIDAS数据集和软件符合FAIR数据原则;（2）创建FAIR“黄金标准 （3）创建动态基础设施和支持服务 数据存储和高性能计算;（4）通过年度网络会议协调外联工作 （5）对MIDAS受训人员进行开放科学和研究方面的教育 建立MIDAS模型的可执行工作流表示，以改进模型 测试和再现性。千年挑战中心将扩大国家地理信息管理系统在基础科学领域投资的影响， 通过改进MIDAS研究产品的使用来进行研究。其他科学家或计算机算法 能够发现、访问和集成MIDAS产品，并越来越多地以机器驱动的方式访问和使用 的数据集和软件将加快控制传染病的新发现和创新的速度。 疾病威胁。MCC将由Wilbert货车Panhuis博士领导，他曾担任 Pitt MIDAS卓越中心的流行病学建模师，并作为数据科学家合作 与ISG合作。货车Panhuis博士有一个独特的跟踪记录解锁访问有价值的数据集以前 不具备MIDAS和一个行之有效的能力，设计，并成功地领导，大型国际 合作。作为MCC的PI，货车Panhuis博士将积极与MIDAS研究人员和 MIDAS指导委员会。MCC的其他团队成员也深深扎根于MIDAS社区 并在传染病和数据科学方面拥有互补的专业知识。