MIDAS Informatics Services Group (ISG)

描述（由申请人提供）：该项目的广泛目标是促进传染病流行病学研究，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建立信息学基础设施，使MIDAS研究人员能够开发更大和更复杂的模型以及更大和更强大的系统。 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的信息建模的“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。信息的再利用将有助于建立潜在的生态系统规模的模型。 该项目还将提供非计算服务，以支持软件工程、模型验证、数据集获取和MIDAS网络的会议后勤支助。 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）综合人口和环境供建模者使用;（3）大幅扩展标准化可计算信息的阿波罗原型库;（4）大幅扩展基于本体的信息管理系统;（5）创建“按需”高性能计算服务;以及（6）发挥信息学资源所期望的其他催化作用，包括后勤支持、数据获取、模型验证、软件工程和质量控制。 改进信息管理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 在制定政策和作出决定时经常使用已开发的软件和服务，从而大大增加传染病流行病学科学对社会的价值。 相关性：该项目将开发和运行的信息学方法、服务和系统将促进传染病流行病学的科学研究。负责疾病控制的公共卫生官员也将获得这些资料。这些创新将减少制定控制传染病的有效战略所需的时间和精力， 这对于新出现的疾病尤其重要。

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.