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A Data Management Framework for Distributed Biomedical Research Environments

机译:分布式生物医学研究环境的数据管理框架

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Biomedical research increasingly depends on access to and analysis of distributed medical and biomedical data. In biomedical research, datasets are often collected at multiple locations, as it is difficult to recruit required patient populations at one location. The sensitive nature of these datasets leads to a need for secure sharing methods that can work with distributed databases and image archives. The efficient implementation of such methods is complicated by the fact that the researchers who need to access data are often behind firewalls that prohibit inbound connections. This restriction, combined with large data volumes and many small files, leads to significant data transfer challenges. We present a data management framework suitable for such distributed biomedical research environments and describe its application in the context of FBIRN, a distributed data-sharing system for medical researchers. The framework includes security tools, catalogs for managing datasets, and a secure data transfer service.
机译:生物医学研究越来越多地取决于分布式医疗和生物医学数据的访问和分析。在生物医学研究中,数据集通常在多个位置收集,因为难以在一个位置招募所需的患者群体。这些数据集的敏感性质导致需要与分布式数据库和图像存档合作的安全共享方法。这些方法的有效实施是复杂的,即需要访问数据的研究人员通常在禁止入站连接的防火墙后面。这种限制与大数据卷和许多小文件相结合,导致了大量的数据传输挑战。我们提出了一种适用于此类分布式生物医学研究环境的数据管理框架,并在FBIRN的背景下描述其应用,该研究人员的分布式数据共享系统。该框架包括安全工具,用于管理数据集的目录,以及安全的数据传输服务。

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