文章摘要
余灿清,刘亚宁,吕筠,卞铮,谭云龙,郭彧,汤海京,杨旭,李立明.大型人群队列研究数据管理团体标准解读[J].中华流行病学杂志,2019,40(1):17-19
大型人群队列研究数据管理团体标准解读
Interpretation for the group standards in data management for large population-based cohorts
投稿时间:2018-12-13  
DOI:10.3760/cma.j.issn.0254-6450.2019.01.005
中文关键词: 队列研究;数据处理;数据安全;技术规范;团体标准
英文关键词: Cohort study;Data processing;Data security;Technical specification;Group standard
基金项目:国家重点研发计划(2016YFC0900500,2016YFC0900504)
作者单位E-mail
余灿清 北京大学公共卫生学院流行病与卫生统计学系 100191  
刘亚宁 北京大学公共卫生学院流行病与卫生统计学系 100191  
吕筠 北京大学公共卫生学院流行病与卫生统计学系 100191  
卞铮 中国医学科学院, 北京 100730  
谭云龙 中国医学科学院, 北京 100730  
郭彧 中国医学科学院, 北京 100730  
汤海京 北京理工大学计算机学院 100081  
杨旭 北京理工大学计算机学院 100081  
李立明 北京大学公共卫生学院流行病与卫生统计学系 100191 lmleeph@vip.163.com 
摘要点击次数: 171
全文下载次数: 222
中文摘要:
      精准医学已成为我国科学技术优先发展的重点战略,大型人群队列的建设是人群疾病防治的重要资源,其研究结果为个体化治疗和精准预防提供科学证据。因此,如何规范化的建设大型人群队列是上述工作的基础。中华预防医学会组织北京大学等单位撰写《大型人群队列研究数据处理技术规范(T/CPMA 001-2018)》和《大型人群队列研究数据安全技术规范(T/CPMA 002-2018)》两项团体标准。标准以"科学性、规范性、可行性、可推广性"为原则,提出了大型人群队列研究在数据标准化技术、数据清理及质控技术、数据整合技术、数据隐私保护技术和数据库安全稳定性管理技术的原则和具体要求,以指导和规范我国已建立或拟开展的大型人群队列、区域性人群队列以及特殊人群队列,促进国内科研水平的提升,增加国际影响力,最大程度的支持疾病防控的决策与实践。
英文摘要:
      Precision medicine became the key strategy in development priority of science and technology in China. The large population-based cohorts become valuable resources in preventing and treating major diseases in the population, which can contribute scientific evidence for personalized treatment and precise prevention. The fundamental question of the achievements above, therefore, is how to construct a large population-based cohort in a standardized way. The Chinese Preventive Medicine Association co-ordinated experienced researchers from Peking University and other well-known institutes to write up two group standards Technical specification of data processing for large population-based cohort study (T/CPMA 001-2018) and Technical specification of data security for large population-based cohort study (T/CPMA 002-2018), on data management. The standards are drafted with principles of emphasizing their scientific, normative, feasible, and generalizable nature. In these two standards, the key principles are proposed, and technical specifications are recommended in data standardization, cleansing, quality control, data integration, data privacy protection, and database security and stability management in large cohort studies. The standards aim to guide the large population-based cohorts that have been or intended to be established in China, including national cohorts, regional population cohorts, and special population cohorts, hence, to improve domestic scientific research level and the international influence, and to support decision-making and practice of disease prevention and control.
查看全文   Html全文     查看/发表评论  下载PDF阅读器
关闭