[Purpose/Significance] With technology, organizati on, environment (TOE) theory and fuzzy set qualitative comparative analysis (fsQCA), this paper deeply explores the key factors and improvement paths of sharing service on open scientific data platform in China to provide important reference for the data service practice. [Method/Process] Based on the TOE framework, this paper analyzed the problems of sharing services on scientific data platform in China, and constructed the theory framework for it. Taking 16 typical scientific data open platform in China as samples, fsQCA was adopted to conduct configuration analysis on the technology, organization, and environment factors that affect the sharing services of open scientific data platforms, and to explore the key factors and improvement paths. [Result/Conclusion] The research results indicate that none of the three factors, technology, organization, and environment, can independently promote the improvement of platform shared service capabilities, and they need to be interconnected and work together. There are three types of improvement paths (configuration modes), namely “technology-resource”, “technology-organization” and “technology-organization-resource”. Among them, the factor of platform technology, especially the completeness degree of platform service functions, plays a very important role in the three improvement paths, while the other factors, data organization mode and data source factors, are also important in at least two modes.
[1] 王丹丹, 刘清华, 王晓梅. 科学数据共享行为影响因素的元分析[J]. 图书馆学研究, 2021(22): 74-84. (WANG D D, LIU Q H, WANG X M. A meta-analysis of factors influencing scientific data sharing behavior[J]. Research on library science, 2021, (22): 74-84.)
[2] 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.)
[3] 毕达天, 曹冉, 杜小民. 科学数据共享研究现状与展望[J]. 图书情报工作, 2019, 63(24): 69-77. (BI D T, CAO R, DU X M. A summary of researches on research data sharing and development trends at home and abroad[J]. Library and information service, 2019, 63(24): 69-77.)
[4] 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.）
[5] HERZINGER S, GU W, SATAGOPAM V, et al. SmartR: an open-source platform for interactive visual analytics for translational research data[J]. Bioinformatics, 2017, 33(14): 2229-2231.
[6] 李子昕, 陈晋. 基于数据中台的高校科学数据管理服务平台建设[J]. 大学图书情报学刊, 2021, 39(2): 56-62.（LI Z X, CHEN J. Construction of university scientific data management service platform based on data middle platform[J]. Journal of academic library and information science, 2021, 39(2): 56-62.）
[7] 张新兴. 科学数据共享平台的建设与服务探讨[J]. 现代情报, 2016, 36(11): 109-113. (ZHANG X X. Research on development and service of scientific data sharing platform[J]. Journal of modern information, 2016, 36(11): 109-113.)
[8] ROMAN D, DIMITROV M, NIKOLOV N, et al. DataGraft: simplifying open data publishing[C]. European semantic Web conference: the semantic Web. Berlin: Springer, 2016: 101-106.
[9] 张丽丽. 科学数据共享治理：模式选择与情景分析[J]. 中国图书馆学报, 2017, 43(2): 54-65. (ZHANG L L. Scientific data sharing governance: model selection and scenario analysis[J]. Journal of library science in China, 2017, 43(2): 54-65.)
[10] 左建安, 陈雅. 基于大数据环境的科学数据共享模式研究[J]. 情报杂志, 2013(12): 151-154. (ZUO J A, CHEN Y. The analysis on sharing mode of scientific data in the environment of big data[J]. Journal of intelligence, 2013(12): 151-154.)
[11] 张晓青, 盛小平. 国外科学数据开放共享政策述评[J]. 图书馆论坛, 2018, 38(8): 147-154. (ZHANG X Q, SHENG X P. A review of foreign policies on open data and data sharing of scientific data[J]. Library tribune, 2018, 38(8): 147-154.)
[12] 宋大成, 焦凤枝, 范摇升. 我国科学数据开放共享政策量化评价[J]. 情报杂志, 2021, 40(8): 119-12. (SONG D C, JIAO F Z, FAN Y S. Quantitative evaluation of China's open and sharing policies of scientific data: based on PMC index model[J]. Journal of intelligence, 2021, 40(8): 119-12.)
[13] CHAU K, TAM Y. Factors affecting the adoption of open systems: an exploratory study[J]. MIS quarterly, 1997, 21(1): 1-24.
[14] WALKER R M. Internal and external antecedents of process innovation: a review and extension[J]. Public management review, 2014, 16(1): 21-44.
[15] OLIVEIR T, MARTINS M F. Literature review of information technology adoption models at firm level[J]. Electronic journal of information systems evaluation, 2011, 14(2): 312-323.
[16] 杨寅, 刘勤, 吴忠生. 科技资源开放共享平台创新扩散的关键因素研究——基于TOE理论框架[J]. 现代情报, 2018, 38(1): 69-75. (YANG Y, LIU Q, WU Z S. Research on key factors of the innovation diffusion of science and technology resource opening and sharing platform: based on TOE theory framework[J]. Journal of modern information, 2018, 38(1): 69-75.)
[17] 杜运周, 贾良定. 组态视角与定性比较分析（QCA）: 管理学研究的一条新道路[J]. 管理世界, 2017(6): 155-167. (DU Y Z, JIA L D. Configuration perspective and qualitative comparative analysis (QCA): a new path in management research[J]. Management world, 2017(6): 155-167.)
[18] 司莉, 华小琴. 我国科学数据共享平台的服务效能分析[J]. 图书馆工作与研究, 2014(4): 24-26. (SI L, HUA X Q. Analysis of service effectiveness of national science and technology infrastructure platforms[J]. Library work and study, 2014(4): 24-26.)
[19] 斯科特, 戴维斯. 组织理论——理性、自然与开放系统的视角[M]. 高俊山, 译. 北京: 中国人民大学出版社, 2011: 142-170. (SCOTT W R, DAVIS G F D. Organizations and organizing: rational, natural, and open system perspectives[M]. GAO J S, trans. Beijing: China Renmin University Press, 2011: 142-170.)
[20] 彭秀媛, 王枫, 周国民. 国外科学数据共享方案研究[J]. 数字图书馆论坛, 2017(9): 50-56. (PENG X Y, WANG F, ZHOU G M. Research on foreign scientific data sharing scheme[J]. Digital library forum, 2017(9): 50-56.)
[21] 国家材料腐蚀与防护科学数据中心[EB/OL]. [2023-10-08]. https://www.corrdata.org.cn/. (National Materials Corrosion and Protection Data Center[EB/OL]. [2023-10-08]. https://www.corrdata.org.cn/.)
[22] 中国科学院数据云[EB/OL]. [2023-10-18]. www.csdb.cn/. (Chinese Academy of Sciences Data Cloud[EB/OL]. [2023-10-18]. https://opendata.pku.edu.cn/.)
[23] 北京大学开放研究数据平台[EB/OL]. [2023-10-15]. https://opendata.pku.edu.cn/. (Peking University Open Research Data Platform[EB/OL]. [2023-10-15]. https://opendata.pku.edu.cn/.)
