MIDAS ITR Extension

RTI国际提出了传染病建模的信息技术资源（ITR） 代理研究（MIDAS），建立在广泛的开发工作，是由RTI在试点MIDAS 网络ITR的活动将由研究组建模人员的需求驱动， 卓越中心。我们建议使用CMMI方法来管理软件开发， 这一过程包括用户强化和测试建模人员开发的软件， 为MIDAS研究人员和其他受众提供的工具，扩展了 试点阶段，整合现有本体，并根据需要开发新的MIDAS专用词汇，以及 提供响应决策者紧急请求所需的计算激增能力， 为研究小组提供性能计算帮助。对于数据开发，我们建议管理 结构化和非结构化数据，并向非MIDAS用户提供所有不受限制的数据， 对人类和动物综合数据库的一些创新和改进， 在试点阶段启动，并制定模型之间互操作性的数据标准。一些 提出了传播和外展方法，包括实施一种评估方法 目标受众的信息需求，以提高其他研究和 教育社区。我们建议不仅要开展为国际贸易谈判概述的活动， 而且还提出了创新的增强功能，包括新的可视化工具、Web流程服务器， 定制数据库和地理空间主向量概率表面。ITR的目标是利用我们的 计算机科学，地理空间和非地理空间数据，计算建模和健康知识 通信和项目支持能力，以响应和预测MIDAS研究人员的需求 并且，在一般情况下，驱动和支持传染病建模的发展和成熟。MIDAS将帮助 通过向决策者和公共卫生部门提供信息，使国家做好应对传染病爆发的准备 官员掌握可靠和及时的信息，可用于规划事件或应对 一个事件的影响。 相关性（参见说明）： MIDAS将帮助国家做好准备，通过提供决策者， 和公共卫生官员提供可用于规划的可靠和及时的信息。的目标 ITR将利用计算机科学、地理空间和非地理空间数据、计算机建模、 和卫生通信，以及项目支持能力，以响应和预测MIDAS的需求 研究人员，并在一般情况下，驱动和支持传染病建模的增长和成熟。

RTI International proposes an Information Technology Resource (ITR) for the Modeling of Infectious Disease Agent Study (MIDAS) that builds on the extensive development effort that was led by RTI in the pilot MIDAS Network. The activities for the ITR will be driven by the needs of the modelers in the Research Groups and Centers of Excellence. We propose to use the CMMI approach to managing software development and a process that includes users to harden and test software developed by the modelers, develop computational tools for MIDAS researchers and other audiences, extend the Model Repository capabilities initiated in the pilot phase, integrate existing ontologies and develop new MIDAS-specific vocabulary as required, and provide computational surge capacity required to respond to policymaker urgent requests and high- performance computing assistance to the research groups. For data development, we propose to manage both structured and unstructured data and make available to non-MIDAS users all unrestricted data, a number of innovations and enhancements to the synthesized human and animal databases that were both initiated during the pilot phase, and develop data standards for interoperability between models. A number of dissemination and outreach approaches are proposed, including the implementation of a method to evaluate the information needs of target audiences to increase awareness of MIDAS among additional research and educational communities. We propose to not only address the activities that have been outlined for theITR, but also propose innovative enhancements, including new visualization tools, web process servers to provide customized databases, and geospatial host-vector probability surfaces. The goal of the ITR will be to use our knowledge in computer science, geospatial and non-geospatial data, computational modeling, and health communication, and project-support capabilities to respond to and anticipate needs of MIDAS researchers and, in general, drive and support the growth and maturation of infectious disease modeling. MIDAS will help prepare the nation to respond to outbreaks of infectious disease by providing policymakers and public health officials with reliable and timely information that can be used either in planning for an event or in responding to repercussions from an event. RELEVANCE (See instructions): MIDAS will help prepare the nation to respond to outbreaks of infectious disease by providing policymakers and public health officials with reliable and timely information that can be used in planning. The goal of the ITR will be to use knowledge in computer science, geospatial and non-geospatial data, computer modeling, and health communication, and project-support capabilities to respond to and anticipate needs of MIDAS researchers and, in general, drive and support the growth and maturation of infectious disease modeling.