[Purpose/Significance] This article constructs a maturity evaluation model for data citation standardization in scientific data platforms, which facilitates the standardization procession of scientific data citation standards. The research is conducive to the effective dissemination and sharing of scientific data outcomes, and promotes the sustained and healthy development of scientific data citation standardization practices. [Method/Process] Through literature review and combined with the existing maturity theorical models, this study proposed maturity element indicators for evaluating the practice of scientific data citation standardization; the Delphi method was employed to gather expert judgments on the importance of these indicators; the Analytic Hierarchy Process was used to calculate the weights of each indicator, and derive the maturity quantitative calculation formula. The maturity evaluation model of scientific data citation standardization was constructed based on five levels:initial, process management, normative management, quantitative management and dynamic optimization. This model was illustrated using the National Earth System Science Data Center as a case study. [Result/Conclusion] Quantitative analysis indicated that the data citation standardization practices of the platform were at the normative definition level. Base on the findings, the study analyzed the survey and offered recommendations, providing guidance and reference for data managers, decision makers and users.
[1] 中国国家标准化管理委员会. 2017年第32号中国国家标准公告[EB/OL].[2023-10-18]. https://std.sacinfo.org.cn/gnoc/queryInfo?id=5765F72B812F670F1571443FF09C12D2. (Standardization Administration of China. 2017 China national standard announcement no. 32[EB/OL].[2023-10-18]. https://std.sacinfo.org.cn/gnoc/queryInfo?id=5765F72B812F670F1571443FF09C12D2.)
[2] 中华人民共和国中央人民政府. 国务院办公厅关于印发科学数据管理办法的通知[EB/OL].[2023-10-18]. https://www. gov.cn/zhengce/content/2018-04/02/content_5279272.htm. (Central People's Government of the People's Republic of China. Issued by the State Council general office on the measures for the management of scientific data to inform[EB/OL].[2023-10-18]. https://www.gov.cn/zhengce/content/2018-04/02/content_5279272.htm.)
[3] 卡耐基梅隆大学软件工程研究所. 能力成熟度模型CMM软件过程改进指南[M]. 刘孟仁, 等译. 北京:电子工业出版社, 2001. (Carnegie Mellon University Software Engineering Institute. Capability maturity model for software (CMM)-guidelines for process improvement[M]. LIU M R, et al, trans. Beijing:Publishing House of Electronics Industry, 2001.)
[4] 叶兰. 研究数据管理能力成熟度模型评析[J]. 图书情报知识, 2015(2):115-123. (YE L. Analysis on maturity model of research data management capability[J]. Documentation, information & knowledge, 2015(2):115-123.)
[5] EDM Council.Data management maturity model[EB/OL].[2023-10-19]. https://max.book118.com/html/2018/1229/7161105013001200.shtm.
[6] NASCIO. Data governance part Ⅱ:maturity models-A path to progress[EB/OL].[2023-10-19]. http://www.docin.com/p-978629039-f2.html USA.
[7] George Firican. Stanford Data Governance Maturity Model[EB/OL].[2023-10-19]. https://www.lightsondata.com/datagovernance-maturity-models-stanford/#:~:text=Stanford%20Data%20Governance%20Maturity%20Model%20Overview%3A%20Developed%20in,both%20foundational%20and%20project%20aspects%20of%20data%20governance.
[8] ARDC. Research data management framework for institutions[EB/OL].[2023-10-19]. http://www.ands.org.au/guides/dmframework/dmf-capability-maturity-guide.html.
[9] EDM Council. DCAM Framework[EB/OL].[2023-10-19]. https://edmcouncil.org/frameworks/dcam/.
[10] 中国国家标准化管理委员会. 数据管理能力成熟度评估模型:GB/T 36073-2018[S]. 北京:中国标准出版社, 2018:1-39. (Standardization Administration of China. Data management capability maturity assessment model:GB/T 36073-2018[S]. Beijing:Standards Press of China, 2018:1-39.)
[11] 中国国家标准化管理委员会. 信息技术服务数据中心服务能力成熟度模型:GB/T 33136-2016[S]. 北京:中国标准出版社, 2016:1-40. (Standardization Administration of China. Information technology services data center service capability maturity model:GB/T 33136-2016[S]. Beijing:Standards Press of China, 2016:1-40.)
[12] 李克鹏, 梅婧婷, 郑斌, 等. 大数据安全能力成熟度模型标准研究[J]. 信息技术与标准化, 2016(7):59-61. (LI K P, MEI J T, ZHENG B, et al. Research on standard proposal for big data security capability maturity model[J]. Information technology & standardization, 2016(7):59-61.)
[13] 张亚明, 裴琳, 刘海鸥. 我国数字城市治理成熟度实证研究[J]. 中国科技论坛, 2010(5):70-76. (ZHANG Y M, PEI L, L H O. Empirical research on the governance maturity of the digital cities in China[J]. Forum on science and technology in China, 2010(5):70-76.)
[14] 秦中云. 大数据环境下高校图书馆数据治理及成熟度模型研究[J]. 新世纪图书馆, 2019(11):62-67. (QIN Z Y. Research on data governance and maturity model of university library in big data environment[J]. New century library, 2019(11):62-67.)
[15] 徐丽新, 袁莉. 地方政府数据开放门户的成熟度评估研究[J]. 图书情报工作, 2019, 63(12):52-58. (XU L X, YUAN L. Research on maturity assessment of local open government data portal[J]. Library and information service, 2019, 63(12):52-58.)
[16] 叶兰. 数据管理能力成熟度模型比较研究与启示[J]. 图书情报工作, 2020, 64(13):51-57. (YE L. The comparative research and reference on capability maturity models for data management[J]. Library and information service, 2020, 64(13):51-57.)
[17] 程芳, 赵彦庆, 王磊. 基于数据服务平台的数据质量能力成熟度模型研究[J]. 标准科学, 2020(10):120-123. (CHENG F, ZHAO Y Q, WANG L. Research on data quality capability maturity model based on data service platform[J]. Standard science, 2020(10):120-123)
[18] 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(1):61-66. (SI L, XING W M. Scientific data management and sharing policies in foreign countries:investigation and inspiration to us[J]. Information and documentation services, 2013(1):61-66.)
[19] 王思明, 宁子晨. 科学数据引用流程中相关主体角色定位探析[J]. 数字图书馆论坛, 2019(4):29-36. (WANG S M, NING Z C. Analysis of the relevant subject role in the data citation process[J]. Digital library forum, 2019(4):29-36.)
[20] 项英, 赖剑菲, 丁宁. 高校图书馆科学数据管理服务实践探索——以武汉大学社会科学数据管理为例[J]. 情报理论与实践, 2013, 36(12):89-93. (XIANG Y, LAI J F, DING N. Exploration of putting scientific data management service into practice in university libraries[J]. Information studies:Theory & Application, 2013, 36(12):89-93.)
[21] 夏义堃. 试论数据开放环境下的政府数据治理:概念框架与主要问题[J]. 图书情报知识, 2018(1):95-104. (XIA Y K. Analysis on government data governance in open data environment:Conceptual framework and main issues[J]. Document, Information & Knowledge, 2018(1):95-104.)
[22] 张培风, 张连分. 全球科研范式变革下的图书馆科学数据管理服务创新——基于数据管理生命周期的视角[J]. 图书馆理论与实践, 2019(5):39-48. (ZHANG P F, ZHANG L F. The service innovation of library science data management under the changes of research paradigm:from the perspective of data life cycle[J]. Library theory and practice, 2019(5):39-48.)
[23] 刘智锋, 王继民, 李倩. 元数据质量评价研究综述[J]. 情报理论与实践, 2022(12):1-16. (LIU Z, F WANG J M, LI Q. A survey of reaearch on metadata quality evaluation[J]. Information studies:theory & application, 2022(12):1-16.)
[24] 顾立平. 科研模式变革中的数据管理服务:实现开放获取、开放数据、开放科学的途径[J]. 中国图书馆学报, 2018, 44(6):43-58. (GU L P. Data management services in the transition of research model:an approach of implementing open access, open data and open science[J]. Journal of library science in China, 2018, 44(6):43-58.)
[25] 史雅莉, 赵雪芹. 合作博弈视角下科学数据引用主体间的关系探析[J]. 数字图书馆论坛, 2019(1):15-20. (SHI Y L, ZHAO X Q. Analysis on the relationship among the subjects of scientific data citation based on cooperative game theory[J]. Digital library forum, 2019(1):15-20.)
[26] 赵佳骏. 科学文献中的数据引用识别研究[D]. 南京:南京农业大学, 2019. (ZHAO J J. Research on data citation identificaion in scientific literature[D]. Nanjing:Nanjing Agricultural University, 2019.)
[27] 魏悦, 刘桂锋. 基于数据生命周期的国外高校科学数据管理与共享政策分析[J]. 情报杂志, 2017, 36(5):153-158. (WEI Y, LIU G F. Analysis of research data management and sharing policy in foreign universities based on data lifecycle[J]. Journal of intelligence, 2017, 36(5):153-158.)
[28] 陈亚平. 中外政府开放数据实践及其管理机制比较研究[D]. 南京:南京大学, 2014. (CHEN Y P. A comparative study of government open data between Chinese and foreign countries in practice and its management mechanism[D]. Nanjing:Nanjing University, 2014.)
[29] 胡逸芳, 林焱. 加拿大政府数据开放政策法规保障及对中国的启示[J]. 电子政务, 2017(5):2-10. (HU Y F, LIN Y. Protection of Canadian government's data opening policy and its implications for China[J]. E-government, 2017(5):2-10.)
[30] 牛丽雪. 政府数据治理成熟度模型研究[D]. 保定:河北大学, 2020. (NIU L X. Research on government data governance maturity model[D]. Baoding:Hebei University, 2020.)
[31] 游祎. 近十年国内图书馆数据服务研究述评[J]. 图书馆研究与工作, 2022(3):55-60. (YOU Y. Review on China's domestic research of library data service in the past decade[J]. Library science research & work, 2022(3):55-60.)
[32] 仲妍, 钟艳玲, 郭文思. 科研数据共享建设研究[J]. 电子技术应用, 2021, 47(9):64-68, 74. (ZHONG Y, ZHONG Y L, GUO W S. Research on scientific research data sharing construction[J]. Application of electronic technology, 2019, 47(9):64-68, 74.)
[33] 朱艳华, 胡良霖, 孔丽华, 等. 科学数据引用国家标准研制与推广[J]. 科研信息化技术与应用, 2018, 9(6):25-30. (ZHU Y H, HU L L, KONG L H, et al. Research and popularization of scientific date citation for national standard of the People Republic of China[J]. Frontiers of data & computing, 2018, 9(6):25-30.)
