MIDAS Coordination Center

项目摘要 传染病代理人研究(MIDAS)模型研究网络已经取得了很高的成效，并且 MIDAS和整个科学界面临的关键挑战是如何使其模型和 其他人可以访问的数据集，以扩大和加快研究和发现进程。的价值 数据和软件作为研究产品已经得到了广泛的认可，但个别研究人员可能面临 数据共享的持久障碍，包括作为主要驱动因素的流行的“要么发布要么灭亡”模式 终身教职和晋升。虽然新技术可以实现数据共享，但社会文化、人类- 基于的方法对于改进社区中的数据访问和重用是必不可少的。我们建议创建一个 MIDAS协调中心(MCC)，以调查人员为重点，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的数据 由NIH数据共享联盟制定的原则，以指定可查找、可访问、 可互操作、可重复使用的研究产品。我们将利用由 信息学服务集团(目前的MIDAS信息技术资源)和以社区为基础的添加 研究、推广、教育和治理。我们提出以下具体目标：(1)促进 符合公平数据原则的MIDAS数据集和软件；(2)创建公平的“黄金标准” 数据集“(GSD)以改进MIDAS模型的测试；(3)创建动态基础设施和支持服务 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 和改善电子交流渠道；(5)对MIDAS学员进行开放科学和研究的教育 设计原则；(6)创建MIDAS模型的可执行工作流表示，以改进模型 测试性和再现性。MCC将扩大NIGMS在基础科学领域的投资的影响 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将是 能够发现、访问和集成Midas产品以及越来越多的机器驱动访问和使用 数据集和软件将加快新发现和创新的速度，以控制传染病 疾病威胁。MCC将由Wilbert van Panhuis博士领导，他曾担任 皮特·米达斯卓越中心的流行病学建模师，曾作为数据科学家进行合作 和ISG在一起。Van Panhuis博士在之前解锁对有价值的数据集的访问方面有着独特的记录 无法提供给MIDAS，并且有能力设计并成功领导大型国际 合作。作为MCC的PI，Van Panhuis博士将积极与Midas调查人员和 迈达斯指导委员会。MCC的其他团队成员也坚定地扎根于Midas社区 并在传染病和数据科学方面拥有互补的专业知识。

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.