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现代图书情报技术  2016, Vol. 32 Issue (1): 11-16     https://doi.org/10.11925/infotech.1003-3513.2016.01.03
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数据管理计划构成规范及其可操作数据监护模型研究*
刘峰1,2,3(),张晓林1
1中国科学院文献情报中心 北京 100190
2中国科学院计算机网络信息中心 北京 100190
3中国科学院大学 北京 100049
Research on the Specification of Data Management Plan and Its Operational Model
Feng Liu1,2,3(),Xiaolin Zhang1
1National Science Library, Chinese Academy of Sciences, Beijing 100190, China
2Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
3University of Chinese Academy of Sciences, Beijing 100049, China
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摘要 【目的】提出一套科学数据管理计划的细化构成规范; 并依此从可操作角度构建数据监护模型。【方法】对国际上主要科研管理机构的数据管理计划规范进行调研和统计; 并结合当前科研数据管理的需求与特点进行补充。【结果】形成8大基本构成要素和39个子要素的数据管理计划细化构成规范, 并构建出一种以数据管理计划为核心驱动的数据监护模型。【结论】数据管理计划细化构成规范可以完整、准确规范和指导科研数据的管理活动, 在操作层面上也可以有效地控制和约束科研全生命周期的数据监护过程。
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刘峰
张晓林
关键词 数据管理计划数据监护科研生命周期    
Abstract

[Objective] Propose a set of detailed structure specifications of scientific data management plan and in accordance with a data curation model constructed from the operational perspective. [Methods] This paper carries on the research and the statistics on the scientific data management plan specification of the main research and management agencies in the world, and makes supplement combining with the requirement and characteristic of current scientific research data management. [Results] This paper forms the detailed structure specification of data management plan with 8 major basic elements and 39 sub-elements and constructs a data curation model taking data management plan as the core driver. [Conclusions] The detailed structure specification of data management plan may regulate and guide the activities of scientific data management completely and accurately, it can also be effectively controlled and restricted the data curation process of the whole life cycle of scientific research at the operational level.

Key wordsData management plan    Data curation    Research lifecycle
收稿日期: 2015-09-07      出版日期: 2016-02-03
基金资助:*本文系国家“十二五”科技支撑计划项目“农村信息服务云存储与云计算技术研究及平台建设”(项目编号:2013BAD15B02)、中国科学院“十二五”信息化项目“科学数据资源整合与共享工程”(项目编号:XXH12504)和中国科学院计算机网络信息中心一三五规划重点培育方向专项“科研大数据资源管理与服务平台及其关键技术”(项目编号:NIC_PY_1405)的研究成果之一
引用本文:   
刘峰, 张晓林. 数据管理计划构成规范及其可操作数据监护模型研究*[J]. 现代图书情报技术, 2016, 32(1): 11-16.
Feng Liu, Xiaolin Zhang. Research on the Specification of Data Management Plan and Its Operational Model. New Technology of Library and Information Service, 2016, 32(1): 11-16.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2016.01.03      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2016/V32/I1/11
[1] Jones S. How to Develop a Data Management and Sharing Plan [EB/OL]. [2015-08-18]. .
[2] Guidelines on Data Management in Horizon 2020 [EB/OL]. [2015-08-18]. .
[3] NSF: Proposal Preparation Instructions of DMP [EB/OL]. [2015-08-18]. .
[4] Research Councils UK [EB/OL]. [2015-08-18]. .
[5] Wellcome Trust: Guidance for Researchers: Developing a Data Management and Sharing Plan [EB/OL]. [2015-08-18]. .
[6] Strasser C, Cook R, Michener W, et al.Primer on Data Management: What You Always Wanted to Know [EB/OL]. [2015-08-18].
[7] ICPSR: Elements of a Data Management Plan [EB/OL]. [2015-08-18]. .
[8] BBSRC: Data Sharing Policy [EB/OL]. [2015-08-18]. .
[9] Cancer Research UK: Data Sharing Guidelines [EB/OL]. [2013-08-18]. .
[10] MRC: Guidance on Data Management Plans [EB/OL]. [2015- 08-18]. .
[11] AHRC: Technical Plan [EB/OL]. [2015-08-18]. .
[12] ESRC: Research Data Policy [EB/OL]. [2015-08-18]. .
[13] STFC: Guidelines on DMPs [EB/OL]. [2015-08-18]. .
[14] STFC: Scientific Data Policy [EB/OL]. [2015-08-18]. .
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