| 我国卫生健康领域科学数据全链条管理现状调查与分析 |
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| 引用本文： | 杨林,李姣,杨啸林,吴思竹,马鹤桐,钱庆.我国卫生健康领域科学数据全链条管理现状调查与分析[J].图书情报工作,2017,61(22):117-126. |
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| 作者姓名： | 杨林 李姣 杨啸林 吴思竹 马鹤桐 钱庆 |
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| 作者单位： | 1. 中国医学科学院医学信息研究所 北京 100020;
2. 中国医学科学院基础医学研究所 北京 100005 |
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| 基金项目： | 本文系国家人口与健康科学数据共享平台专项课题"基于全链条的国家人口健康科学数据共享平台数据管理现状研究"（项目编号：2016NCMIZX12）研究成果之一。 |
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| 摘 要： | 目的/意义]顺应国家"十三五"对卫生健康领域科技资源开放共享和高效利用的要求,了解我国卫生健康领域科学数据管理的现状,为贯彻落实数据全链条管理奠定基础。方法/过程]从国家人口与健康科学数据共享平台入手,选取具有代表性的数据中心和专题服务平台,以问卷调查为主、其他方法相结合的方式,调查分析数据管理流程、工具使用、系统建设等方面的现状。结果/结论]我国卫生健康领域可以从以下几方面加强数据全链条管理水平：增强数据全链条管理意识;提升数据管理技术支撑能力;重视数据管理人才队伍建设。
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| 关 键 词： | 全链条数据管理 科学数据共享平台 数据管理 卫生健康数据 |
| 收稿时间： | 2017-06-15 |
Survey and Analysis on Health Scientific Data Lifecycle Management in China |
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| Yang Lin,Li Jiao,Yang Xiaolin,Wu Sizhu,Ma Hetong,Qian Qing.Survey and Analysis on Health Scientific Data Lifecycle Management in China[J].Library and Information Service,2017,61(22):117-126. |
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| Authors: | Yang Lin Li Jiao Yang Xiaolin Wu Sizhu Ma Hetong Qian Qing |
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| Institution: | 1. Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020;
2. Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Beijing 100005 |
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| Abstract: | Purpose/significance] For adapting to the requirements of national "13th Five-Year Plan" on sharing and efficient use of science and technology resources in the realm of health, this paper helps us understand the situation of health scientific data management in China, in order to better manage the data lifecycle.Method/process] This paper selected representative data centers and special service platforms from the National Scientific Data Sharing Platform for Population and Health as survey objects. Investigated data were gathered based on the questionnaire and other methods. Then, the study analyzed the workflow of data management, the use of tools and the construction of systems.Result/conclusion] We can strengthen the health scientific data lifecycle management from the following aspects:increasing the awareness of data lifecycle management, enhancing the technical ability of data management, paying attention to the construction of the data management team. |
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| Keywords: | data lifecycle management science data sharing platform data management health data |
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