MIDAS Informatics Services Group (ISG)

项目描述（由申请人提供）：该项目的总体目标是促进传染病流行病学的研究，并改善疾病控制的相关实践。该项目将使用面向服务的体系结构和本体的方法来构建信息学基础设施，使MIDAS研究人员能够开发更大、更复杂的模型和更大、更有能力的系统。该项目本身将使用相同的方法来开发一个基于本体的信息管理系统，该系统将索引数据集、出版物、现有模型和计算机可解释信息——建模的“原材料”。该项目还将采用知识表示领域的信息学方法，建立一个可重复使用的计算机可解释信息库。信息的重用将使构建潜在的生态系统规模的模型成为可能。该项目还将为MIDAS网络提供非计算服务，以支持软件工程、模型验证、数据集获取和会议后勤支持。该项目的具体目标是：(1)为从建模者到决策者的最终用户开发软件；(2)综合种群和环境供建模者使用；(3)显著扩展了标准化可计算信息的原型Apollo Library；(4)显著扩展了基于本体的信息管理系统；(5)创建“随需应变”高性能计算服务；(6)发挥信息学资源预期的其他催化作用，包括后勤支持、数据采集、模型验证、软件工程和质量控制。信息管理改进的预期影响将是加快研究周期。总的来说，该项目对实践的影响是负责疾病控制的州和联邦官员将

DESCRIPTION (provided by applicant): The broad goal of the project is to catalyze research in infectious disease epidemiology and to improve the related practice of disease control. The project will use the methods of service-oriented architectures and ontologies to build an informatics' infrastructure that will enable MIDAS researchers to develop larger and more complex models and larger and more capable systems. The project itself will use the same methods to develop an ontology-based information management system that will index datasets, publications, existing models, and computer-interpretable information-the 'raw materials' of modeling. The project will also employ informatics methods from the field of knowledge representation to construct a library of computer-interpretable information that can be re-used. The re-use of information will enable the construction of potentially ecosystem-size models. The project will also provide non-computational services in support of software engineering, model validation, dataset acquisition and meeting logistical support for the MIDAS network. The specific aims of the project are to: (1) Develop software for end users ranging from modelers to decision makers; (2) synthesize populations and environments for use by modelers; (3) significantly extend a prototype Apollo Library of standardized computable information; (4) significantly extend an ontology-based Information Management System; (5) create an "On Demand" High Performance Computing service; and (6) play other catalytic roles expected of the informatics resource, including logistical support, data acquisition, model validation, software engineering and quality control. The expected impact of the improvements of information management will be an acceleration of the research cycle. Overall, the project's impact on practice is that state and federal officials with responsibility for disease control will routinely utilize the developed software and services when formulating policy and making decisions, thereby increasing significantly the value of the science of infectious disease epidemiology to society. RELEVANCE: The informatics methods, services, and systems that this project will develop and operate will catalyze scientific research in infectious disease epidemiology. They will also be available to public health officials responsible for disease control. The innovations will reduce the time and effort required to develop effective strategies for the control of infectious disease, which is especially important for newly emerging diseases.