Development and Support of Platforms for Research into Rare Diseases

R. Sinnott, Jipu Jiang, A. Stell, J. Watt
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引用次数: 1

Abstract

The technologies and ideas that underlie e-Science in providing seamless access to distributed resources is a compelling one and has been applied in many research domains. The clinical domain is one area in particular that, in principle has much to be gained from e-Science approaches. Until now however it has largely been the case that the practical realization, support and adoption of e-Science solutions in a clinical setting have been fraught by many hurdles. Not least is trust of technologies and their use in the field as opposed to demonstrator projects with non-real clinical data to prove the merit of e-Science ideas and solutions. The National e-Science Centre (NeSC– www.nesc.ac.uk) at the University of Glasgow have had a large number of clinical projects that have moved from the proof of concept demonstrators through to real systems used by real clinical researchers in real clinical trials and studies. In this paper we focus on the software systems that have been developed to support two major international post-genomic clinical research projects in the area of rare diseases: the European Union 7th Framework (EuroDSD – www.eurodsd.eu) project and the European Science Foundation (ENSAT – www.ensat.org) project. We outline the software platforms that have been rolled out and identify how the e-Science vision of secure access to clinical resources has been realized and subsequently used.
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罕见病研究平台的开发与支持
e-Science提供对分布式资源的无缝访问的基础技术和思想是一个引人注目的技术,并已应用于许多研究领域。临床领域是一个特别的领域,原则上可以从电子科学方法中获得很多好处。然而,到目前为止,在临床环境中实际实现、支持和采用电子科学解决方案在很大程度上是充满了许多障碍的。最重要的是对技术及其在该领域的使用的信任,而不是用非真实临床数据来证明电子科学思想和解决方案的优点的示范项目。格拉斯哥大学的国家电子科学中心(NeSC - www.nesc.ac.uk)已经有了大量的临床项目,这些项目已经从概念验证演示转移到真正的临床研究人员在真正的临床试验和研究中使用的实际系统。在本文中,我们重点介绍了为支持罕见病领域的两个主要国际后基因组临床研究项目而开发的软件系统:欧盟第七框架(EuroDSD - www.eurodsd.eu)项目和欧洲科学基金会(ENSAT - www.ensat.org)项目。我们概述了已经推出的软件平台,并确定了如何实现和随后使用安全访问临床资源的电子科学愿景。
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In Search of Visualization Metaphors for PlanetLab Multi-criteria Content Adaptation Service Selection Broker Enabling the Next Generation of Scalable Clusters Development and Support of Platforms for Research into Rare Diseases Using Cloud Constructs and Predictive Analysis to Enable Pre-Failure Process Migration in HPC Systems
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