Bio-Informatics Research Network Coordinating Center (BIRN-CC)

描述（由申请人提供）：为了响应协作生物医学对先进基础设施的需求，NCRR生物医学信息研究网络（BIRN）的建立是为了开发一个联邦和分布式的基础设施，用于存储、检索、分析和记录生物医学成像数据。BIRN参与者网络最初包括三个以神经科学为重点的试验台。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、实现和支持实现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。在本提案中，我们解决了阻碍合作研究努力的问题。我们将为BIRN提供新的功能，使用已经在其他学科中使用的成熟技术来自动化数据发布过程，并形成“虚拟数据仓库”，为不同的分布式数据源提供统一的查询接口。具体来说：1)我们将把BIRN CC转移到一个新的站点（USC的ISI）；2)将核心基础架构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)用基于服务的联邦数据管理基础设施取代基于存储资源代理的数据解决方案，4)将BIRN数据存储库迁移到ISI/USC托管的存储中，5)迁移并支持目前BIRN用户群使用的最成熟和可扩展的工具，新的服务框架；6)创建一个基础设施，允许其他开发人员将工具集成到BIRN中；7)实现实用的数据管理过程，重点是创建一个使用多种本体的框架。最后，我们提出一个新的。治理结构，它将更能响应不断增长的BIRN社区的需求。这种新模式将允许扩展BIRN的用户基础和领域，并将BIRN定位在新的努力的前沿，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。

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.