MIDAS Informatics Services Group (ISG)

MIDAS 信息学服务集团 (ISG)

• 批准号: 8904686
• 负责人: Jessi U Espino
• 金额: $ 222.18万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-05 至 2019-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8904686
• 关键词: Acceleration; Architecture; Communicable Diseases; Complex; Computer Simulation; Computer software; Computers; Data Set; Diffuse; Disease; Ecosystem; Education; Environment; Epidemiology; Extensible Markup Language; Goals; High Performance Computing; Improve Access; Infectious Disease Epidemiology; Informatics; Information Management; Knowledge; Letters; Libraries; Management Information Systems; Methods; Mission; Modeling; Ontology; Play; Policy Making; Population; Principal Investigator; Public Health; Publications; Quality Control; Research; Research Infrastructure; Research Personnel; Resource Informatics; Role; Science; Services; Societies; Software Engineering; Supercomputing; System; Time; Universities; Validation; Vocabulary; Work; base; data acquisition; disorder control; improved; indexing; information organization; innovation; meetings; prototype; rapid growth; software development; supercomputer; web services

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.

描述（由申请人提供）：该项目的广泛目标是催化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论的方法来构建信息学基础架构，使MIDAS研究人员能够开发更大，更复杂的模型以及更大，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，现有模型和计算机解关信息 - 建模的“原材料”。该项目还将采用来自知识表示领域的信息学方法来构建可以重复使用的计算机干预信息库。信息的重复使用将使可能的生态系统大小模型的构建。 该项目还将提供非计算服务，以支持软件工程，模型验证，数据集获取并满足MIDAS网络的后勤支持。 该项目的具体目的是：（1）为从建模者到决策者的最终用户开发软件； （2）合成建模者使用的人群和环境； （3）显着扩展了标准化计算信息的原型Apollo库； （4）大大扩展了基于本体的信息管理系统； （5）创建“按需”高性能计算服务； （6）扮演信息资源期望的其他催化作用，包括后勤支持，数据采集，模型验证，软件工程和质量控制。 信息管理的改进的预期影响将是研究周期的加速。总体而言，该项目对实践的影响是，有疾病控制责任的州和联邦官员将 在制定政策并做出决策时，通常会通常利用开发的软件和服务，从而显着增加传染病流行病学对社会的价值。 相关性：该项目将开发和运行的信息学方法，服务和系统将催化传染病流行病学中的科学研究。他们还将向负责疾病控制的公共卫生官员使用。这些创新将减少制定有效策略以控制传染病所需的时间和精力， 这对于新兴疾病尤其重要。