Department of Computer Science & Technology, University of Bedfordshire, United Kingdom.
Comput Methods Programs Biomed. 2012 Jun;106(3):219-33. doi: 10.1016/j.cmpb.2010.08.009. Epub 2010 Sep 17.
Carefully collected, high-quality data are crucial in biomedical visualization, and it is important that the user community has ready access to both this data and the high-performance computing resources needed by the complex, computational algorithms that will process it. Biological researchers generally require data, tools and algorithms from multiple providers to achieve their goals. This paper illustrates our response to the problems that result from this. The Living Human Digital Library (LHDL) project presented in this paper has taken advantage of Web Services to build a biomedical digital library infrastructure that allows clinicians and researchers not only to preserve, trace and share data resources, but also to collaborate at the data-processing level.
在生物医学可视化中，精心收集的高质量数据至关重要，用户社区能够轻松访问这些数据以及处理这些数据所需的高性能计算资源也同样重要。生物研究人员通常需要来自多个提供者的数据、工具和算法来实现他们的目标。本文说明了我们对由此产生的问题的回应。本文介绍的活体人类数字图书馆（LHDL）项目利用 Web 服务构建了一个生物医学数字图书馆基础设施，不仅允许临床医生和研究人员保存、跟踪和共享数据资源，还允许他们在数据处理层面进行协作。
