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
{"title":"大型流行病学研究中科学数据管理的挑战","authors":"M. Henderson, C. Mohla, K. Jacobs, J. Vaught","doi":"10.1089/CPT.2005.3.49","DOIUrl":null,"url":null,"abstract":"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...","PeriodicalId":51233,"journal":{"name":"Cell Preservation Technology","volume":"3 1","pages":"49-53"},"PeriodicalIF":0.0000,"publicationDate":"2005-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/CPT.2005.3.49","citationCount":"2","resultStr":"{\"title\":\"Challenges of Scientific Data Management for Large Epidemiologic Studies\",\"authors\":\"M. Henderson, C. Mohla, K. Jacobs, J. Vaught\",\"doi\":\"10.1089/CPT.2005.3.49\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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...\",\"PeriodicalId\":51233,\"journal\":{\"name\":\"Cell Preservation Technology\",\"volume\":\"3 1\",\"pages\":\"49-53\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1089/CPT.2005.3.49\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell Preservation Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1089/CPT.2005.3.49\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Preservation Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1089/CPT.2005.3.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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...
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Long-Term Preservation at Room Temperature of Freeze-Dried Human Tumor Samples Dedicated to Nucleic Acids Analyses Glycine Protects Bile Physiology and Biliary-Specific Liver Cell Metabolism from Ischemia-Reperfusion Injury: A 1H NMR Study Artificial Collapse of Blastocysts Before Vitrification: Mechanical vs. Laser Technique and Effect on Survival, Cell Number, and Cell Death in Early and Expanded Blastocysts Effect of Liposome Charge and Composition on the Delivery of Trehalose into Red Blood Cells Room Temperature Storage of Cultured Human Articular Chondrocytes
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1