A national human neuroimaging collaboratory enabled by the Biomedical Informatics Research Network (BIRN)
A national human neuroimaging collaboratory enabled by the Biomedical Informatics Research Network (BIRN)
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DOI：
10.1109/titb.2008.917893
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发表时间：
2008-03-01
影响因子：
--
通讯作者：
Papadopoulos, P.
中科院分区：
文献类型：
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作者：
Keator, David B.;Grethe, J. S.;Papadopoulos, P.
来自多个独立机构和研究人员的成像、临床和行为数据的聚合为生物医学研究提供了巨大的机会，也带来了巨大的挑战。许多研究小组都有完善的数据收集和分析程序，以及该小组特有的数据和元数据格式要求。此外，收集的数据和元数据的类型是相当多样化的，包括图像，生理和行为数据，以及实验设计的描述，预处理和分析方法。每种类型的数据都利用各种软件工具进行收集、存储和处理。此外，研究中心不愿意释放对数据和工具的分发和访问的控制。为了满足这些需求，生物医学信息学研究网络（BIRN）开发了一个联合和分布式基础设施，用于存储，检索，分析和记录生物医学成像数据。该基础设施包括分布式数据收集托管在专用存储和计算资源位于每个参与站点，一个联合数据管理系统和数据集成环境，一个可扩展标记语言（XML）模式的数据交换，分析管道，旨在利用分布式数据管理环境和可用的网格计算资源。
The aggregation of imaging, clinical, and behavioral data from multiple independent institutions and researchers presents both a great opportunity for biomedical research as well as a formidable challenge. Many research groups have well-established data collection and analysis procedures, as well as data and metadata format requirements that are particular to that group. Moreover, the types of data and metadata collected are quite diverse, including image, physiological, and behavioral data, as well as descriptions of experimental design, and preprocessing and analysis methods. Each of these types of data utilizes a variety of software tools for collection, storage, and processing. Furthermore sites are reluctant to release control over the distribution and access to the data and the tools. To address these needs, the Biomedical Informatics Research Network (BIRN) has developed a federated and distributed infrastructure for the storage, retrieval, analysis, and documentation of biomedical imaging data. The infrastructure consists of distributed data collections hosted on dedicated storage and computational resources located at each participating site, a federated data management system and data integration environment, an Extensible Markup Language (XML) schema for data exchange, and analysis pipelines, designed to leverage both the distributed data management environment and the available grid computing resources.