大型流行病学研究中科学数据管理的挑战

M. Henderson, C. Mohla, K. Jacobs, J. Vaught
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引用次数: 2

摘要

美国国家癌症研究所癌症流行病学和遗传学部门(DCEG)开展以人群为基础的跨学科研究,以发现癌症的遗传和环境决定因素。许多DCEG研究是大型的、多机构的、长期的,涉及多个研究步骤的国家和国际研究地点。此类流行病学研究所涉及的当前信息技术挑战包括:(1)管理和协调多种数据类型(人口统计、环境、生物标本、实验室、分析、分子等);(2)空前的数据量;(3)有效的数据挖掘,以获得疾病病因的见解;(4)学习管理系统之间的安全协作。如果没有得到充分解决,所有这些挑战都将增加进行研究的成本并降低发表速度。DCEG正在审查当前的数据管理实践,以便更好地利用信息技术的最新进展来加强……
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges of Scientific Data Management for Large Epidemiologic Studies
The U.S. National Cancer Institute's Division of Cancer Epidemiology and Genetics (DCEG) conducts population-based and interdisciplinary research to discover the genetic and environmental determinants of cancer. Many DCEG studies are large, multi-institutional, and long-term with national and international study sites involved in the multiple research steps. Current information technology challenges involved in such epidemiological studies include: (1) management and harmonization of a multitude of data types (demographic, environmental, biospecimen, laboratory, analytic, molecular, etc.); (2) unprecedented amounts of data; (3) efficient data mining to derive insights into disease etiology; and (4) secure collaboration between study management systems. If not adequately addressed, all of these challenges will increase the cost of performing studies and decrease the speed of publication. DCEG is examining current data management practices to better utilize recent advances in information technology to enhan...
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