网格在CTSA中的应用与适应。

Shannon Hastings, Scott Oster, Stephen Langella, Calixto Melean, Tara Borlawsky, Rakesh Dhavel, Philip Payne
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引用次数: 0

摘要

在过去的十年中,信息学领域经历了快速的变化。网格计算[1-5]和知识锚定数据等新技术,再加上旨在创造更丰富的多机构研究和临床环境的主要资助和不断增长的社区推动,如caBIG™[6-8](癌症生物信息学网格)、BIRN[9](生物信息学研究网络)和CTSA(临床和转化科学奖),已经带来了跨机构边界汇集信息的新方法。这导致了基于创建语义上可互操作的数据和分析服务的面向服务体系结构的发展,以提高跨越医学领域的临床和研究工作的速度、效率和结果。TRIAD(转化信息和数据管理网格)系统将被用作中间件系统,使OSU CTSA能够创建一个可扩展的、安全的、知识锚定的数据共享环境,该系统将采用并适应为caBIG™项目设计的网格基础设施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Adoption and Adaptation of caGrid for CTSA.

Adoption and Adaptation of caGrid for CTSA.

Adoption and Adaptation of caGrid for CTSA.

The field of informatics has been going through a rapid change over the past decade. New technologies such as grid computing[1-5] and knowledge anchored data, combined with major funding and growing community thrusts aimed at creating a richer multi-institutional research and clinical environment such as caBIG™[6-8] (Cancer Bioinformatics Grid), BIRN[9] (Bioinformatics Research Network), and CTSA(Clinical and Translational Science Awards) have lead to new ways to bring together information across institutional boundaries. This had lead to service oriented architectures based developments in creating semantically interoperable data and analytical services to increase speed, efficiency, and outcome of clinical and research efforts spanning the fields of medicine. The TRIAD (Translational Informatics and Data Management Grid) System, which will be used as the middleware system enabling the OSU CTSA to create a scalable, secure, and knowledge anchored data sharing environment, will adopt and adapt the caGrid infrastructure designed for the caBIG™ program.

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