BIO-INFORMATICS RESEARCH NETWORK COORDINATING CENTER (BIRN-CC)

描述（由申请人提供）：为了满足协作生物医学对先进基础设施的需求，建立了NCRR生物医学信息学研究网络（BIRN），以开发用于存储、检索、分析和记录生物医学成像数据的联合分布式基础设施。BIRN参与者网络最初涉及三个以神经科学为重点的测试平台。BIRN协调中心（BIRN CC）是整个BIRN网络中的重要组成部分，负责开发、实施和支持实现BIRN用户之间分布式协作和数据共享所需的信息技术基础设施。目前的BIRN CC由圣地亚哥超级计算中心（SDSC）的计算机科学家，神经科学家和工程师组成。在这份提案中，我们解决了阻碍合作研究工作的问题。我们将使用已在其他学科中使用的经过验证的技术，使BIRN具有新的功能，以自动化数据发布过程，并形成“虚拟数据仓库”，在不同的分布式数据源上提供统一的查询接口。具体而言：1）我们将把BIRN CC转移到一个新的站点（ISI at USC）; 2）将核心基础设施迁移到基于虚拟机的部署策略; 3）利用网络基础设施工具提供稳定性、可扩展性和互操作性; 4）将基于Storage Resource Broker的数据解决方案替换为基于服务的联合数据管理基础架构，4）将BIRN数据存储库移至ISI/USC托管的存储，5）迁移并支持BIRN用户群新服务框架当前使用的最成熟和可扩展的工具; 6）创建允许其他开发人员将工具集成到BIRN中的基础设施，7）实现注重创建用于使用多个本体的框架的实用数据策展过程。最后，我们提出了一个新的。治理结构，将更加适应不断增长的BIRN社区的需求。这种新模式将允许扩大BIRN的用户群和领域，并将BIRN定位在新的努力的最前沿，以存储与同行评审出版物相关的原始数据，利用新的NIH开放获取政策。 公共卫生相关性：生物医学研究从多个独立机构的生物医学成像，临床和行为数据的整合中受益匪浅。该项目将提供一个数据共享基础设施，使研究人员能够研究复杂的数据驱动问题，否则是不可能的。随着多模型数据分析成为循证医学发展的基础，其影响将是巨大的。

DESCRIPTION (provided by applicant): To respond to the needs for advanced infrastructure for collaborative biomedicine, the NCRR Biomedical Informatics Research Network (BIRN) was established to develop a federated and distributed infrastructure for the storage, retrieval, analysis, and documentation of biomedical imaging data. The network of BIRN participants initially involved three testbeds with a neuroscience emphasis. The BIRN Coordinating Center (BIRN CC) is an important piece in the overall BIRN network, serving to develop, implement, and support the information technology infrastructure necessary to achieve distributed collaborations and data sharing between BIRN users. The current BIRN CC consists of a partnership between computer scientists, neuroscientists, and engineers based at the San Diego Super Computing Center (SDSC). In this proposal, we address issues that have hindered collaborative research effort. We will evolve BIRN with new capabilities, using proven techniques that are already being utilized in other disciplines to automate the data publication process and to form "virtual data warehouses" that provides unified query interfaces over disparate and distributed data sources Specifically: 1) we will transition the BIRN CC to a new site (ISI at USC); 2) migrate the core infrastructure to a virtual machine based deployment strategy; 3) leverage cyberinfrastructure tools to provide stability, scalability and interoperability; 4) replace Storage Resource Broker-based data solution with a service-based federated data management infrastructure, 4) move the BIRN Data Repository to storage hosted at ISI/USC, 5) migrate and support the most mature and extensible tools currently used by BIRN user base new services framework; 6) create an infrastructure allowing other developers to integrate tools into BIRN, 7) implement pragmatic data curation procedures focusing on creating a framework for using multiple ontologies. Finally, we propose a new. governance structure that will be more responsive to the needs of the growing BIRN community. This new model will allow expansion of the BIRN user base and domains and will position BIRN at the forefront of new efforts to store primary data linked to peer-reviewed publication, taking advantage of new NIH open-access policies. Public Health Relevance: Biomedical research benefits greatly from the integration of biomedical imaging, clinical, and behavioral data from multiple independent institutions. This project will provide a data sharing infrastructure that will enable researchers to investigate complex data-driven problems, otherwise impossible. The impact will be dramatic as multi-model data analysis has become fundamental to the development of evidence-based medicine.