国内外科学数据管理办法研究进展

doi:10.19788/j.issn.2096-6369.190301

Abstract

Abstract:

Scientific data are important strategic resources in the information age. Efficient management and wide circulation can critically enhance the value of scientific data resources. Rapid information technology developments and large investments in science and technology projects have led to an explosion in the number of scientific data resources, which poses a greater challenge to scientific data management. The transformation from industrial society to information society increases the importance of scientific data management, domestically and internationally. Many data management institutions and government departments promote robust scientific data management and sharing through the construction of data clusters, improvement of security measures, optimization of development concepts, and increased funding. This paper analyzes and summarizes the advanced experience of international scientific data management, based on a comprehensive survey of the concepts, policies, practices and achievements of scientific data management at domestic and foreign institutions. It proposes future directions and suggestions for the development of scientific data management in China. Recommendations for the future include the following: (1) Continuously standardize and improve the management of various scientific data resources to ensure a mechanism to improve the standardization level. (2) Strengthen deep mining of data resources to realize the transformation from data to information, knowledge, wisdom and decision-making. (3) Strengthen data science and technology talents training, implement data scientist programs from the government level, and provide talent support for scientific data management. (4) Broaden international cooperation channels, strengthen cooperation, promote the international influence of existing national science data centers, provide strategic guidance for the development and construction of data science in China, and build core competitiveness to enhance the comprehensive national strength in the information age.

Key words: scientific data, data management methods, data sharing, data infrastructure, data management, scientific data management, open access, data evaluation

CLC Number:

G203

Yongqing Bai,Yaping Yang,Jiulin Sun. Advances in the Study of Domestic and Foreign Scientific Data Management Methods[J].Journal of Agricultural Big Data, 2019, 1(3): 5-20.

Figures/Tables 4

References 46

1	国务院办公厅. 科学数据管理办法 [EB/OL]. [2019-10-10], .
	General Office of the State Council. Measures for scientific data management [EB/OL]. [2019-10-10], .
2	司莉, 邢文明. 国外科学数据管理与共享政策调查及对我国的启示 [J]. 情报资料工作, 2013, 34(1): 61-66.
	SiL, XingW M. Scientific Data Management and Sharing Policies in Foreign Countries: Investigation and Inspiration to Us [J]. Information and Documentation Services, 2013, 34(1):61-66.
3	杨静, 赵俊杰. 国外科学数据管理情况研究 [J]. 全球科技经济瞭望, 2019, 34(1): 26-31.
	YangJ, ZhaoJ J. Research on Foreign Scientific Data Management [J]. Global Science, Technology and Economy Outlook, 2019, 34(1): 26-31.
4	国家科技基础条件平台中心. 国家科学数据资源发展报告 [R]. 2015.
	National Science and Technology Infrastrusture. National Scientific Data Resource Development Report [R]. 2015.
5	黄鼎成，郭增艳. 科学数据共享管理研究 [M]. 北京: 中国科学技术出版社, 2002.
	HuangD C, GuoZ Y. Research on Scientific Data Sharing Management [M]. Beijing: China Science and Technology Press, 2002.
6	张迎, 张志平, 梁冰. 科学数据管理应用模式的研究 [J]. 情报工程, 2017, 3(4): 71-77.
	ZhangY, ZhangZ P, LiangB. Research on Scientific Data Management Application Model [J]. Technology Intelligence Engineering, 2017, 3(4):71-77.
7	王卷乐, 王明明, 石蕾, 等. 科学数据管理态势及其对我国地球科学领域的启示 [J]. 地球科学进展, 2019(3): 86-95.
	WangJ L, WangM M, ShiL, et al. The Situation of Scientific Data Management and Its Enlightenment to Earth Sciences of China [J]. Advances in Earth Science, 2019(3):86-95.
8	NICOLETM. The International Geophysical Year (1957–1958): Great achievements and minor obstacles [J]. Geojournal, 1984, 8(4): 303-320.
9	周小刚, 罗云峰. 美国国家大气研究中心优先研究领域新特点 [J]. 地球科学进展, 2006, 21(7): 751-756.
	ZhouX G, LuoY F. The New Characteristics of Research Priorities of National Center for Atmospheric Research [J]. Advances in Earth Sciences, 2006, 21(7):751-756.
10	张丽丽, 温亮明, 石蕾, 等. 国内外科学数据管理与开放共享的最新进展 [J]. 中国科学院院刊, 2018, (8): 774-782.
	ZhangL L, WenL M, ShiL, et al. Progress in Scientific Data Management and Sharing [J]. Bulletin of Chinese Academy of Sciences, 2018,(8):774-782.
11	崔宇红. E-Science环境中研究图书馆的新角色:科学数据管理 [J]. 图书馆杂志, 2012(10): 20-23.
	CuiY H. Emerging Role of Research Library in the Context of E-Science:Scientific Data Curation [J]. Library Journal, 2012(10): 20-23.
12	石林. 国际科学联合会理事会(ICSU)简况 [J]. 力学与实践, 1983, 5(2): 62-63.
	ShiL. Brief introduction to the International Council of Scientific Unions (ICSU) [J]. Mechanics and Engineering, 1983, 5(2):62-63.
13	李慧佳, 马建玲, 王楠, 等. 国内外科学数据的组织与管理研究进展 [J]. 图书情报工作, 2013, 57(23): 130-136.
	LiH J, MaJ L, WangN, et al. Research Review on Scientific Data Organization and Management at Home and Abroad [J]. Library and Information Service, 2013, 57(23):130-136.
14	冯桂安, 林新华. 国内外超算中心发展模式研究与建议 [C]. 全国高性能计算学术年会, 2014.
	FengG A, LinX H. Research and Suggestion on the Development Model of Super-computing Centers at Home and Abroad [C]. 2014 Annual Meeting of HPC China, 2014.
15	尚卫卫. 气象数据分布共享管理的关键技术研究 [D]. 国防科学技术大学, 2010.
	ShangW W. Research on Key Technology for Sharing Distributed Data on Meteorology [D]. National University of Defense Technology, 2010.
16	孙九林. 加强信息资源开发利用与共享，提高信息化建设效率 [C]. 国家信息化发展论坛, 2007.
	SunJ L. Strengthen the Exploitation and Sharing of Information Resources and Improve the Efficiency of Information Construction [C]. National Information Development Forum, 2007.
17	胡建伟, 许岩岩. 美国信息共享模式对我国地理信息共享机制的启示 [J]. 地域研究与开发, 2009, 28(2): 41-43.
	HuJ W, XuY Y. The Revelation of American Information Sharing Model to Chinese Geography Information Sharing System [J]. Areal Research and Development, 2009, 28(2): 41-43.
18	司莉, 庄晓喆, 王思敏, 等. 2005 年以来国外科学数据管理与共享研究进展与启示 [J]. 国家图书馆学刊, 2013, 22(3): 40-49.
	SiLi, ZhuangX Z, WangS M, et al. The Progress and Enlightenment of Scientific Data Management and Sharing Research in Abroad Since 2005 [J]. Journal of the National Library of China, 2013, 22(3):40-49.
19	阎季惠, 李景光. 全球海洋观测系统及我们的对策初探 [J]. 海洋技术学报, 1999, (3): 14-21.
	YanJ H, LiJ G. Global Ocean Observing System and the Countermeasures of China [J]. Journal of Ocean Technology, 1999, (3):14-21.
20	薛虹. 数据库的法律保护与反垄断 [J]. 知识产权, 1998, (3):20-24.
	XueH. Legal Protection and Antitrust of Databases [J]. Intellectual Property, 1998, (3):20-24.
21	虞路清, 肖云, 黎建辉. 科学数据库数据共享政策研究与实施 [C]. 科学数据库与信息技术学术研讨会, 2006.
	YuL Q, XiaoY, LiJ H. Research and Implementation of Data Sharing Policy in Scientific Databases [C]. 8th Symposium on Scientific Database and Information Technology, 2006.
22	杨锦坤, 杨扬, 于婷. 国际海洋资料管理现状与趋势 [J]. 海洋开发与管理, 2014, (4):1-3.
	YangJ K, YangY, YuT. Current Situation and Trend of International Marine Data Management [J]. Ocean Development and Management, 2014, (4):1-3.
23	DuQ, LinS, WangF. To estabish CMOC China as an important component of marine data and servise international cooperation in China [J]. Marine Science Bulletin, 2013, 15(1): 91-96.
24	张玉娥, 王永珍. 欧盟科研数据管理与开放获取政策及其启示——以“欧盟地平线2020”计划为例 [J]. 图书情报工作, 2017, 61(13): 70-76.
	ZhangY E, WangY Z. The Policy and Enlightenment of EU’s Scientific Data Management and Open Access: Taking the EU Horizon 2020 Program as an Example [J]. Library and Information Service, 2017, 61(13):70-76.
25	PrematC. Can the French Republic Be Digital? Lessons from the Last Participatory Experience on the Law-Making Process [J]. 2018.
26	黄如花, 邱春艳. 国内外科学数据元数据研究进展 [J]. 图书与情报, 2014, (6): 102-108.
	HuangR H, QiuC Y. Research Progress of Scientific Metadata at Home and Abroad [J]. Library & Information, 2014, (6):102-108.
27	郎杨琴, 孔丽华. 科学研究的第四范式吉姆·格雷的报告“e-Science：一种科研模式的变革”简介 [J]. 科研信息化技术与应用, 2010, 1(2): 92-94.
	LangY Q, KongL H. Jim Gray’s Report of the Fourth Paradigm of Science Research: A Brief Introduction to on eScience: A Transformed Scientific Method [J]. e-Science Technology & Application, 2010, 1(2):92-94.
28	孔丽华. 美国国家科学基金会的DataNet计划 [J]. 科研信息化技术与应用, 2009, (1): 73-74.
	KongL H. The DataNet Program of the National Science Foundation [J]. e-Science Technology & Application, 2009, (1):73-74.
29	欧阳峥峥, 青秀玲, 顾立平, 等. 国际数据期刊出版的案例分析及其特征 [J]. 中国科技期刊研究, 2015, 26(5): 437-444.
	OuyangZ Z, QingX L, GuL P, et al. An study on the case analysis and characteristics of international data journal publishing [J]. Chinese Journal of Scientific and Technical Periodicals, 2015, 26(5):437-444.
30	马建玲, 曹月珍, 王思丽, 等. 学术论文与科学数据集成出版研究 [J]. 情报资料工作, 2014(2): 82-86.
	MaJ L, CaoY Z, WnagS L, et al. Studies in the Integrated Publishing of Academic Papers and Scientific Data [J]. Information and Documentation Services, 2014(2):82-86.
31	吴立宗, 王亮绪, 南卓铜, 等. 科学数据出版现状及其体系框架 [J]. 遥感技术与应用, 2013, 28(3): 383-390.
	WuL Z, WangL X, NanZ T, et al. Scientific Data Publication:An Revierw and Framework [J]. Remote Sensing Technology and Application, 2013, 28(3):383-390.
32	郭明航, 李军超, 田均良. 我国科学数据共享管理的发展与现状 [J]. 西安建筑科技大学学报：社会科学版, 2009, 28(4): 83-88.
	GuoM H, LiX C, TianJ L. The Management of Scientific Data Sharing in China [J]. Journal of Xi'an University of Architecture & Technology(Social Science Edition), 2009, 28(4):83-88.
33	MIAOR, ZHUY, SONGJ, et al. Services of Earth System Science Data Sharing Based on Cloud Computing [J]. Journal of Geo-Information Science, 2014, 16(2): 264-272.
34	赵蕊菡. 科学数据论文的重用现状研究——基于数据期刊“EarthSystemScienceData”的引文分析 [J]. 情报理论与实践, 2017, 40(11): 52-57.
	ZhaoR H. Research on the Current Situation of Reuse of Scientific Data Papers: Citation Analysis Based on the Data Journal “Earth System Science Data” [J]. Information Studies: Theory & Application, 2017, 40(11):52-57.
35	赵萌. 强制数据共享推进研究结果的可重复性:发表文章时你希望这样做吗? [J]. 中国组织工程研究, 2016, 20(36): 5322-5322.
	ZhaoM. Mandatory data sharing promotes the repeatability of research results: Do you want to do this when you publish an article? [J]. Chinese Journal of Tissue Engineering Research, 2016, 20(36): 5322-5322.
36	黄如花, 邱春艳. 国外科学数据共享研究综述 [J]. 情报资料工作, 2013(4): 25-31.
	HuangR H, QiuC Y. Review of Research of the Scientific Data Sharing in Foreign Countries [J]. Information and Documentation Services, 2013(4): 25-31.
37	苏靖, 石蕾, 王正, 等. 推进科学数据与信息资源管理共享的思路与对策 [J]. 中国科技资源导刊, 2015, (5): 45-49.
	SuJ, ShiL, WangZ, et al. Thoughts and Countermeasure to Promote Management and Sharing of Sci-entiifc Data and Information Resources [J]. China Science & Technology Resources Review, 2015, (5):45-49.
38	柯新. 科技部解读国家科技基础条件平台建设纲要 [J]. 科技资讯, 2004, (22): 154-159.
	KeX. Ministry of Science and Technology of the People´s Republic of China interprets the Outline of National Science & Technology Infrastructure Construction [J]. Science & Technology Information, 2004, (22):154-159.
39	陈明奇, 黎建辉, 郑晓欢, 等. 科学大数据的发展态势及建议 [J]. 中国教育信息化, 2016, (21): 5-9.
	ChenM Q, LiJ H, ZhengX H, et al. Development Trend and Suggestion of Big Data in Science [J]. The Chinese Journal of Ict in Education, 2016, (21):5-9.
40	郭华东. 地球大数据科学工程 [J]. 中国科学院院刊, 2018, (8): 818-824.
	GuoH D. A Project on Big Earth Data Science Engineering [J]. Bulletin of Chinese Academy of Sciences, 2018, (8): 818-824.
41	李云龙, 齐禾, 杨永峰. 中国科学院战略性先导科技专项(A类) 地球大数据科学工程 [J]. 中国科学院院刊, 2018, 31(8): 13-16.
	LiY L, QiH, YangY F. Strategic Leading Science and Technology Project of Chinese Academy of Sciences (category A): A Project on Big Earth Data Science Engineering [J]. Bulletin of Chinese Academy of Sciences, 2018, 31(8): 13-16.
42	刘润达, 诸云强. 科学数据共享关键问题探索——以地球系统科学数据共享网为例 [J]. 地理科学进展, 2007, 26(5): 118-126.
	LiuR D, ZhuY Q. Explore Key Issues of Scientific Data Sharing——Data Sharing Network of Earth System Science as an Example [J]. Progress in Geography, 2007, 26(5): 118-126.
43	许志宏, 阎保平. 国际科技数据委员会(CODATA)中国全国委员会的使命和发展 [J]. 科学中国人, 2004, (9): 20-21.
	XuZ H, YanB P. Committee on Data for Science and Technology (CODATA) Mission and Development of the National Committee of China [J]. Scientific Chinese, 2004, (9):20-21.
44	王卷乐, 孙九林. 世界数据中心(WDC)中国学科中心数据共享进展 [J]. 中国基础科学, 2007, 9(2): 38-42.
	WangJ L, SunJ L. Development of China WDC Systems for Data Sharing [J]. China Basic Science, 2007, 9(2): 38-42.
45	林海, 王卷乐. 国家重点基础研究发展计划(973)资源环境领域项目数据汇交工作正式启动 [J]. 地球科学进展, 2008, 23(8): 895-896.
	LinH, WangJ L. National Key Basic Research and Development Plan (973) Project Data Exchange in the Field of Resources and Environment officially launched [J]. Advances in Earth Sciences, 2008, 23(8):895-896.
46	吴国雄, 林海, 邹晓蕾, 等. 全球气候变化研究与科学数据 [J]. 地球科学进展, 2014, (1): 15-22.
	WuG X, LinH, ZouX L, et al. Research on Global Climate Change and Scientific Data [J]. Advances in Earth Science, 2014, (1): 15-22.

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