Challenges of ultra large scale integration of biomedical computing systems

R. Begent, M. Brady, A. Finkelstein, D. Gavaghan, P. Kerr, H. Parkinson, F. Reddington, J. M. Wilkinson
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引用次数: 11

Abstract

The NCRI Informatics Initiative is overseeing the implementation of an informatics framework for the UK cancer research community. The framework advocates an integrated multidisciplinary method of working between scientific and medical communities. Key to this process is community adoption of high quality acquisition, storage, sharing and integration of diverse data elements to improve knowledge of the causes, prevention and treatment of cancer. The integration of the complex data and meta-data used by these multiple communities is a significant challenge and there are technical, resource-based and sociological issues to be addressed. In this paper we review progress aimed at establishing the framework and outline key challenges in ultra large scale integration of biomedical computing systems.
超大规模生物医学计算系统集成的挑战
NCRI信息学倡议正在监督英国癌症研究界信息学框架的实施。该框架提倡在科学界和医学界之间采用综合的多学科工作方法。这一过程的关键是社区采用高质量的采集、存储、共享和整合各种数据元素,以提高对癌症病因、预防和治疗的认识。这些多社区使用的复杂数据和元数据的集成是一项重大挑战,需要解决技术、资源和社会学问题。在本文中,我们回顾了旨在建立框架的进展,并概述了超大规模生物医学计算系统集成的关键挑战。
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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