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现代图书情报技术  2016, Vol. 32 Issue (1): 3-10     https://doi.org/10.11925/infotech.1003-3513.2016.01.02
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数据监管的政策研究综述*
张梦霞1,2,顾立平1()
1中国科学院文献情报中心 北京 100190
2中国科学院大学 北京 100049
Policy Research of Data Curation
Mengxia Zhang1,2,Liping Ku1()
1National Science Library, Chinese Academy of Sciences, Beijing 100190, China
2University of Chinese Academy of Sciences, Beijing 100049, China
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摘要 【目的】探索数据监管政策的实施细节, 促进数据监管政策的建立。【方法】通过梳理国内外数据监管的相关理论成果, 并分别从科学数据的遴选标准、存储规范和传播交流机制三方面进行归纳和总结。【结果】数据监管的政策要素主要包括: 数据遴选标准(符合数据提交流程要求、优先遴选原则、数据真实可用的声明、数据来源不具争议性); 数据存储规范(遵循相关政策、保障数据完整、满足通用技术标准、保证长期可持续发展); 传播交流机制(遵循法律法规和行业指南、开放获取传播许可协议、传播行为的免责声明、数据重用的说明文件)等。【局限】 需要结合我国的实际, 进一步完善政策框架中的细节。【结论】科研组织、协会、资助机构等应该积极推进和制定数据监管政策。
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张梦霞
顾立平
关键词 数据监管数据管理服务数字档案管理数据权益管理数据遴选长期保存    
Abstract

[Objective] The implementation details of data curation promotes to establish data curation policy. [Methods] Based on reviewing the research achievements related to data curation, and then systematically concluded from the aspects as data selection standards, data storage standards, data communication and sharing mechanism. [Results] The main elements of data curation policy include: data selection standards (compliance with the requirements of data submission process, priority selection principle, the statement of data credibility and availability, data sources uncontroversial), data storage standard (follow the policy, guarantee data integrity, meet common technical standards, guarantee long-term sustainable development), and data communication and sharing mechanism (accordance with the laws and industrial directory, open access license, disclaimer propagation behavior, data reuse documentation). [Limitations] In the future, need to combine with the reality of China to complete the policy framework in detail. [Conclusions] Research organizations, associations and funding agencies should actively promote and develop data curation policy.

Key wordsData curation    Data management service    Digital archives management    Data rights management Data selection    Long-term preservation
收稿日期: 2015-06-26      出版日期: 2016-02-04
基金资助:*本文系中国科学院项目“中国科学院文献出版领域择优支持人才”(项目编号:院1434)的研究成果之一
引用本文:   
张梦霞,顾立平. 数据监管的政策研究综述*[J]. 现代图书情报技术, 2016, 32(1): 3-10.
Mengxia Zhang,Liping Ku. Policy Research of Data Curation. New Technology of Library and Information Service, 2016, 32(1): 3-10.
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https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2016.01.02      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2016/V32/I1/3
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