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全球科学数据平台的发展态势研究

  • 张洋 ,
  • 黄楠 ,
  • 余厚强
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  • 中山大学信息管理学院 广州 510006
张洋,教授,博士;黄楠,博士研究生;余厚强,副教授,博士,通信作者,E-mail:yuhq8@mail.sysu.edu.cn。

收稿日期: 2024-06-04

  修回日期: 2024-10-30

  网络出版日期: 2025-04-10

基金资助

本文系国家社会科学基金重大项目“科研成果社会影响的评价体系与提升策略研究”(项目编号:23&ZD226)和广东省软科学研究计划项目“新时代科技项目同行评议的影响机制与智能决策支持系统研究”(项目编号:2024A1010010003)研究成果之一。

A Study on the Developing Trends of Global Scientific Data Platforms

  • Zhang Yang ,
  • Huang Nan ,
  • Yu Houqiang
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  • School of Information Management, Sun Yat-sen University, Guangzhou 510006
Zhang Yang,professor,PhD;Huang Nan,doctoral candidate;Yu Houqiang,associate professor,PhD,corresponding author,E-mail:yuhq8@mail.sysu.edu.cn.

Received date: 2024-06-04

  Revised date: 2024-10-30

  Online published: 2025-04-10

Supported by

This work is supported by the major project of National Social Science Fund of China, titled “Research on the Evaluation System and Improvement Strategies for the Social Impact of Scientific Research Achievements ”(Grant No. 23&ZD226) and Soft Science Research Program of Guangdong Province titled “Research on the Influential Mechanism and Intelligent Decision Support System of Peer Review of Science and Technology Projects in the New Era” (No. 2024A1010010003).

摘要

[目的/意义] 通过对全球科学数据平台的发展态势进行研究,重点分析科学数据平台在数量增长、国家地区分布、学科分布等方面的特点,期望能够为科学数据平台的建设和发展提供可靠的参考建议,进而推动数据共享和开放科学事业的发展。[方法/过程] 编写程序代码,访问re3data、OpenDOAR和ROAR三个注册目录平台的应用程序编程接口,获取其所存储的科学数据平台记录信息,并进行数据处理与分析。[结果/结论] 数据分析结果显示,自2000年以来,全球科学数据平台的数量快速增长,但增速存在波动。科学数据平台的国家地区分布集中于发达国家。学科分布中,人文与社会科学类别占比最多,其他三类较为均衡。此外,还对科学数据平台的建成年龄与国家地区分布、学科分布等维度展开交叉分析,进一步揭示不同国家地区和学科领域的科学数据平台的发展特点。

本文引用格式

张洋 , 黄楠 , 余厚强 . 全球科学数据平台的发展态势研究[J]. 图书情报工作, 2025 , 69(8) : 139 -148 . DOI: 10.13266/j.issn.0252-3116.2025.08.013

Abstract

[Purpose/Significance] This study examines the global developing trends of scientific data platforms, focusing on the characteristics of their growth in number, geographic distribution, and disciplinary distribution. The aim is to provide reliable reference for the construction and development of scientific data platforms, thereby promoting data sharing and open science. [Method/Process] This research involved writing program codes to access the application programming interfaces (APIs) of three registry platforms: re3data, OpenDOAR, and ROAR. The stored scientific data platform records were retrieved and subsequently processed and analyzed. [Result/Conclusion] The data analysis reveals that the number of global scientific data platforms has grown rapidly since 2000, though the growth rate has fluctuated. The distribution of scientific data platforms is concentrated in developed countries. Among the disciplinary categories, the humanities and social sciences account for the largest proportion, while the other three categories are relatively balanced. Additionally, the study conducts cross-analyses on the age of scientific data platforms in relation to their geographic and disciplinary distributions, further elucidating the development characteristics across different countries and academic fields.

参考文献

[1] 范国梅, 孙清岚, 史文聿, 等. 国家微生物科学数据中心 数据资源服务与应用[J]. 微生物学报, 2021, 61(12): 3761-3773. (FAN G M, SUN Q L, SHI W Y, et al. The services and applications of national microbiology data center[J]. Acta microbiologica sinica, 2021, 61(12): 3761-3773.)
[2] 张慧, 程雨琦, 王传清. 科学数据开放共享合作关系实证研 究——以北京大学开放研究数据平台为例[J]. 图书情报工 作, 2021, 65(23): 22-30. (ZHANG H, CHENG Y Q, WANG C Q. An empirical study on collaborative relation of scientific data open sharing: based on Peking University open research data platform[J]. Library and information service, 2021, 65(23): 22-30.)
[3] 李建霞, 余丹丹. 科学数据共享平台用户感知有用性分 析——以 国 家 科 技 基 础 条 件 平 台 为 例[J/OL]. 情 报 杂 志: 1-7[2024-12-10]. http://kns.cnki.net/kcms/detail/61.1167.G3.20230602.1038.016.html. (LI J X, YU D D, Analysis on perceived usefulness of users of scientific data sharing platform: taking National Science and Technology Infrastructure as an example[J/OL]. Journal of intelligence: 1-7[2024-12-10]. http://kns.cnki.net/kcms/detail/61.1167.G3.20230602.1038.016.html.)
[4] 姚翔宇, 黄晨, 葛杭. 高校开放科学数据平台建设探索——以浙江大学开放数据平台为例[J]. 大学图书馆学报, 2023, 41(6): 88-97. (YAO X Y, HUANG C, GE H. Exploration on the development of universities’ open scientific data platform: taking Zhejiang University open data platform as an example[J]. Journal of academic libraries, 2023, 41(6): 88-97.)
[5] 范国梅, 孙清岚, 张荐辕, 等. 国家微生物科学数据中心——国家微生物资源大数据体系建设[J]. 生命科学, 2023, 35(12): 1599-1607. (FAN G M, SUN Q L, ZHANG J Y, et al. National Microbiology Science Data Center: construction of national big data system for microbial resources[J]. Chinese bulletin of life sciences, 2023, 35(12): 1599-1607.)
[6] 耿志杰, 陈佳慧. 荷兰数据归档和网络服务中心的科学数据 长期保存机制[J]. 图书馆论坛, 2021, 41(11): 128-135. (GENG Z J, CHEN J H. DANS ‘s Long-term preservation mechanism of research data[J]. Library tribune, 2021, 41(11): 128-135.)
[7] 卫军朝, 张春芳. 国内外科学数据管理平台比较研究[J]. 图书 情报知识, 2017(5): 97-107. (WEI J C, ZHANG C F. A comparative study of research data management platform domestic and abroad[J]. Documentation, information & knowledge, 2017(5): 97-107.)
[8] 朱立禄, 宋世俊, 王琳. 国内外机构知识库建设现状及建议[J]. 现代情报, 2017, 37(3): 109-115. (ZHU L L, SONG S J, WANG L. The development status of worldwide institutional repositories and some corresponding measures[J]. Journal of modern information, 2017, 37(3): 109-115.)
[9] 饶梓欣, 邓璐芗, 许鑫. 国际视野下面向人文研究的数据基础 设施分析与探讨[J]. 图书情报知识, 2022, 39(5): 31-41, 11. (RAO Z X, DENG L X, XU X. Analysis and discussion of data infrastructure for humanities research from international perspective[J]. Documentation, information & knowledge, 2022, 39(5): 31-41, 11.)
[10] 戚筠, 何琳. 人文社科科学数据管理与共享平台的现状研究——基于国内外对比视角[J]. 图书馆杂志, 2023, 42(8): 110-123. (QI Y, HE L. Research on the current situation of data management and sharing platform of humanities and social sciences: a comparative perspective at home and abroad[J]. Library journal, 2023, 42(8): 110-123.)
[11] 崔旭, 赵希梅, 王铮, 等. 我国科学数据管理平台建设成就、 缺失、对策及趋势分析——基于国内外比较视角[J]. 图书 情报工作, 2019, 63(9): 21-30. (CUI X, ZHAO X M, WANG Z, et al. Achievements, defects, countermeasures and trends of Chinese scientific data management platform construction-based on domestic and foreign comparative perspectives[J]. Library and information service, 2019, 63(9): 21-30.)
[12] CHOURASIA A, WONG M, MISHIN D, et al. SeedMe: a scientific data sharing and collaboration platform[C]//Gaither K P. XSEDE16: Proceedings of the XSEDE16 conference on diversity, big data, and science at scale. New York: Association for Computing Machinery, 2016: 1-6.
[13] 王丹丹, 任婧媛, 吴思洁. 社会科学数据管理与服务平台 研究——德国的经验[J]. 现代情报, 2020, 40(11): 99-106. (WANG D D, REN J Y, WU S J. Research on social science data management and service platform: the experience of German[J]. Journal of modern information, 2020, 40(11): 99-106.)
[14] RE3DATA. RE3DATA[EB/OL]. [2024-12-10]. https://www.re3data.org/.
[15] OPENDOAR. OPENDOAR[EB/OL]. [2024-12-10]. https://v2.sherpa.ac.uk/opendoar/.
[16] ROAR. ROAR[EB/OL]. [2024-12-10]. https://roar.eprints.org/.
[17] 王 辉, WITT M. 基 于 re3data 的 科 研 数 据 仓 储 全 景 分 析 [J]. 图 书 情 报 工 作, 2017, 61(22): 69-76. (WANG H, WITT M. Panoramic analysis of research data repositories based on Re3data[J]. Library and information service, 2017, 61(22): 69-76.)
[18] PAMPEL H, VIERKANT P, SCHOLZE F, et al. Making research data repositories visible: the re3data.org registry[J]. Plos one, 2013, 8(11): e78080.
[19] 李月明. 基于 OpenDOAR 的开放存取知识库分析与研究[J]. 图 书 馆, 2017(7): 46-48, 98. (LI Y M. Analysis and research on open access repository based OpenDOAR[J]. Library, 2017(7): 46-48, 98.)
[20] 夏姚璜. 基于 re3data 的中美科学数据仓储对比研究[J]. 图书 馆学研究, 2018(6): 17-26. (XIA Y H. A comparative study on the scientific data repositories based on re3data between China and United States[J]. Research on library science, 2018(6): 17-26.)
[21] KHAN A M, LOAN F A, PARRARY U Y, et al. Global overview of research data repositories: an analysis of re3data registry[J]. Information discovery and delivery, 2023, 52(1): 53-61.
[22] WANI J A, SOFI T A, SOFI I A, et al. The status of open access repositories in the field of technology: insights from OpenDOAR[J]. Information discovery and delivery, 2023, 52(2): 164-174.
[23] OPENDOAR. An update from OpenDOAR: policy support and repositories galore[EB/OL]. [2024-12-10]. https://current.ndl.go.jp/car/40724.
[24] 中国科技论文统计与分析课题组. 2022 年中国科技论文统 计与分析简报[J]. 中国科技期刊研究, 2024, 35(1): 95-103. (Research group of statistics and analysis on Chinese scientific papers. A brief report of statistics and analysis on Chinese scientific papers in 2022[J]. Chinese journal of scientific and technical periodicals, 2024, 35(1): 95-103.)
[25] 姜恩波, 李娜. 开放科学环境下的欧盟研究数据开放共享研究 [J]. 世界科技研究与发展, 2020, 42(6): 655-666. (JIANG E B, LI N. Research on research data open sharing of EU in open science environment[J]. World sci-tech R&D, 2020, 42(6): 655-666.)
[26] 储节旺, 汪敏. 美国科学数据开放共享策略及对我国的启示 [J]. 情报理论与实践, 2019, 42(8): 153-158. (CHU J W, WANG M. The strategy of open sharing of scientific data in the United States and its enlightenment to China[J]. Information studies: theory & application, 2019, 42(8): 153-158.)
[27] 胡明晖, 孙粒. 英国科学资助机构开放数据政策及其对我 国启示[J]. 中国科学基金, 2018, 32(5): 539-544. (HU M H, SUN L. Open data policy of the research funded by public science institutes in UK and its enlightenments[J]. Bulletin of National Natural Science Foundation of China, 2018, 32(5): 539-544.)
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