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Shanoir: Applying the Software as a Service Distribution Model to Manage Brain Imaging Research Repositories

机译:Shanoir:将软件即服务分发模型应用于管理脑成像研究资料库

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摘要

Two of the major concerns of researchers and clinicians performing neuroimaging experiments are managing the huge quantity and diversity of data and the ability to compare their experiments and the programs they develop with those of their peers. In this context, we introduce Shanoir, which uses a type of cloud computing known as software as a service (SaaS) to manage neuroimaging data used in the clinical neurosciences. Thanks to a formal model of medical imaging data (an ontology), Shanoir provides an open source neuroinformatics environment designed to structure, manage, archive, visualize and share neuroimaging data with an emphasis on managing multi-institutional, collaborative research projects. This article covers how images are accessed through the Shanoir Data Management System and describes the data repositories that are hosted and managed by the Shanoir environment in different contexts.
机译:研究人员和临床医生进行神经成像实验的两个主要问题是管理大量数据和多样性以及将实验和开发的程序与同行进行比较的能力。在这种情况下,我们介绍Shanoir,它使用一种称为软件即服务(SaaS)的云计算类型来管理临床神经科学中使用的神经影像数据。得益于医学成像数据(本体)的正式模型,Shanoir提供了开放源代码神经信息学环境,旨在构建,管理,存档,可视化和共享神经影像数据,重点是管理多机构协作研究项目。本文介绍了如何通过Shanoir数据管理系统访问图像,并描述了由Shanoir环境在不同上下文中托管和管理的数据存储库。

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