National Center for Integrative Biomedical Informatics(RMI)

国家综合生物医学信息中心（RMI）

• 批准号: 7480988
• 负责人: BRIAN David ATHEY
• 金额: $ 347.37万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-09-25 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7480988
• 关键词: Architecture; Automobile Driving; Behavioral; Biological; Bipolar Disorder; Communities; Complex; Computer software; Data; Data Analyses; Data Set; Data Sources; Databases; Disease; Education; Environment; Information Resources; Information Retrieval; Intellectual Property; Knowledge; Literature; Malignant neoplasm of prostate; Michigan; Modeling; National Center for Integrative Biomedical Informatics; Online Systems; Ontology; Policies; Process; Provider; Recruitment Activity; Research Infrastructure; Research Personnel; Resources; Science; Secure; Services; Structure; System; Technology; Testing; Time; Today; Training Programs; Universities; cancer genetics; clinically significant; improved; innovation; knowledge base; tool; type I and type II diabetes

DESCRIPTION (provided by applicant): Information integration is rapidly becoming a severe bottleneck in biomedical science as researchers grapple with complex disease processes and rapidly increasing data volumes. The University of Michigan will establish a National Center for Integrative Biomedical Informatics (NCIBI) to meet this challenge and thereby advance the study of complex, clinically significant biomolecular systems. The Center will develop problem-posing computational architecture within a managed software and data infrastructure that will permit the facile manipulation and analysis of today's massive data sets. This architecture exploits scalable and flexible software technology and enables component reuse and re-organization. The Center's knowledge environment implements full provenance tracking for information, and thus enables users to 'drill-down' to primary source data and to appropriately cite data providers. With this infrastructure, an integrative modeling and hypothesis-testing resource will be created, drawing on public databases, high-throughput experimental data, and literature resources. Biological knowledge environments, improved ontologies and advanced tools for information retrieval will be developed to use with this integrated knowledge base. These environments will enable the analysis and modeling of complex and dynamic biomedical systems, and in time will allow the integration of biomedical and behavioral data at multiple levels of organization. The NCIBI will demonstrate and challenge these technologies with four driving biological projects in Type I and Type II diabetes, prostate cancer and the genetics of bipolar disorders. We will facilitate community access, collaborative activities, and data sharing in the Center, and freely disseminate tools and web-based services for biomolecular data analysis. The NCIBI will establish innovative education and training programs leveraging the integrated information resource. Intrinsic to the Center will be a secure computational infrastructure to support its activities. Administrative structures will be established to manage and sustain the Center. An Intellectual Property and Data Sharing Committee will set and modify data and software dissemination and use policies. The NCIBI Executive Committee will review and recruit new Driving Biological Projects (DBPs). The Center will be overseen by the Co-PIs and a professional project manager.

描述（由申请人提供）：随着研究人员应对复杂的疾病过程并迅速增加数据量，信息整合正在迅速成为生物医学科学的严重瓶颈。密歇根大学将建立一个国家综合生物医学信息学中心（NCIBI），以应对这一挑战，从而提高对复杂，临床上重要的生物分子系统的研究。该中心将在托管软件和数据基础架构中开发问题的计算体系结构，这些计算体系结构将允许对当今大规模数据集进行轻松的操作和分析。该体系结构利用可扩展和灵活的软件技术，并实现组件重复使用和重组。该中心的知识环境实现了信息的完整出处跟踪，因此使用户可以“钻取”到主要源数据并适当引用数据提供商。借助此基础架构，将创建一个集成建模和假设检验资源，在公共数据库，高通量实验数据和文献资源上借鉴。生物知识环境，改进的本体和高级工具将开发出与此综合知识库一起使用的信息检索。这些环境将实现复杂和动态生物医学系统的分析和建模，并且随着时间的流逝，将允许在多个组织层面上整合生物医学和行为数据。 NCIBI将通过I型和II型糖尿病，前列腺癌和双相情感障碍遗传学的四个驾驶生物学项目来证明和挑战这些技术。我们将促进中心的社区访问，协作活动和数据共享，并自由传播工具和基于Web的服务以进行生物分子数据分析。 NCIBI将建立利用综合信息资源的创新教育和培训计划。该中心的内在将是支持其活动的安全计算基础架构。将建立行政结构来管理和维持中心。知识产权和数据共享委员会将设置和修改数据和软件传播并使用政策。 NCIBI执行委员会将审查并招募新的驾驶生物学项目（DBP）。该中心将由Co-Pis和专业项目经理监督。