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

Q1 Computer Science
C. Barillot, E. Bannier, O. Commowick, I. Corouge, Anthony Baire, I. Fakhfakh, Justine Guillaumont, Yao Yao, Michael Kain
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引用次数: 15

Abstract

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.
Shanoir:应用软件即服务分布模型管理脑成像研究知识库
进行神经成像实验的研究人员和临床医生的两个主要关注点是管理大量和多样化的数据,以及将他们的实验和他们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,它使用一种被称为软件即服务(SaaS)的云计算来管理临床神经科学中使用的神经成像数据。由于医学成像数据的正式模型(本体),Shanoir提供了一个开源的神经信息学环境,旨在构建、管理、存档、可视化和共享神经成像数据,重点是管理多机构合作研究项目。本文介绍了如何通过Shanoir数据管理系统访问映像,并描述了在不同上下文中由Shanoir环境托管和管理的数据存储库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Frontiers in ICT
Frontiers in ICT Computer Science-Computer Networks and Communications
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