[1] 中国联通研究院.企业数据跨境合规与技术应用白皮书(2023)[R/OL]. [2025-09-22]. http: //221.179.172.81/images/20231129/49261701242593785.pdf. (China Unicom Research Institute. Enterprise cross-border data compliance and technology white paper (2023) [R/OL]. [2025-09-22]. http: //221.179.172.81/images/20231129/49261701242593785.pdf.)
[2] 国家数据局.《可信数据空间发展行动计划(2024—2028年)》[EB/OL]. [2025-09-23]. https://www.gov.cn/zhengce/zhengceku/202411/content_6996363.htm. (National data administration. Development action plan for trusted data spaces (2024–2028) [EB/OL]. [2025-09-23]. https://www.gov.cn/zhengce/zhengceku/202411/content_6996363.htm.)
[3] 张军荣, 刘忠学. 我国数据分类分级政策内容分析与优化路径[J/OL]. 图书馆建设, [2025-07-07]. http://kns.cnki.net/kcms/detail/23.1331.g2.20250218.1011.004.html. (ZHANG J R, LIU Z X. Content analysis and optimization path of China’s data classification and grading policy [J/OL]. Library development, [2025-07-07]. http://kns.cnki.net/kcms/detail/23.1331.g2.20250218.1011.004.html.)
[4] 王皓.国际组织在全球数字经济治理中的双重角色[J]. 国际经贸探索, 2025, 41(2): 106-118. (WANG H. The dual role of international organizations in global digital economy governance [J]. International economics and trade research, 2025, 41(2): 106-118.)
[5] 张磊, 徐琳. WTO《投资便利化协定》推动多边规制融合:机制、特征与中国实践[J]. 国际经济评论, 2025(1): 84-109, 6. (ZHANG L, XU L. WTO’s investment facilitation agreement promoting multilateral regulatory convergence: mechanisms, characteristics, and China’s practice [J]. International economic review, 2025(1): 84-109, 6.)
[6] 朝乐门. 数据创造价值:特征、方法与影响因素分析[J]. 中国图书馆学报, 2025, 51(3): 65-86. (CHAO L M. Data creating value: analysis of characteristics, methods and influencing factors[J]. Journal of library science in China, 2025, 51(3): 65-86.)
[7] 郭海玲, 卫金金, 刘仲山, 等.数据生态视角下跨境数据价值实现影响机制研究[J]. 图书情报工作, 2025, 69(8): 90-106. (GUO H L, WEI J J, LIU Z S, et al. Influencing mechanisms of cross-border data value realization from a data ecosystem perspective[J]. Library and information service, 2025, 69(8): 90-106.)
[8] 张楚辉, 李卓卓, 裴雷.多学科交叉与多场景嵌入:国内外数据伦理研究综述[J]. 信息资源管理学报, 2025, 15(2): 91-107. (ZHANG C H, LI Z Z, PEI L. Multidisciplinary integration and multi-scenario embedding: a review of domestic and international data ethics research[J]. Journal of information resources management, 2025, 15(2): 91-107.)
[9] 杨峰.数据跨境流动的可信与可行[J]. 图书馆建设, 2025(2): 9-11, 25. (YANG F. Trustworthiness and feasibility of cross-border data flow[J]. Library construction, 2025(2): 9-11, 25.)
[10] 苏宇, 卢怡.数据要素可信交易流通:共同数据空间的制度塑成[J]. 电子政务, 2024(12): 53-64. (SU Y, LU Y. Trusted transaction and circulation of data elements: the institutional shaping of common data spaces [J]. E-government, 2024(12): 53-64.)
[11] BADIROVA A, ALANGOT B, DIMITRAKOS T, et al. Towards robust trust frameworks for data exchange: a multidisciplinary inquiry[C]//Open identity summit 2024. Bonn: Gesellschaft Für Informatik E.V, 2024: 15-26.
[12] ISO, IEC. ISO/IEC DIS 20151—2021: information technology—cloud computing and distributed platforms—data space concepts and characteristics [S]. Geneva: ISO, 2021.
[13] 赵德宝, 钟小平.OpenStack云计算平台实战[M]. 北京: 人民邮电出版社, 2022: 285. (ZHAO D B, ZHONG X P. Practical guide to OpenStack cloud computing platform [M]. Beijing: People’s Posts and Telecommunications Press, 2022: 285.)
[14] 李金蔓, 杜杏叶, 曹珂瑞.数智时代图书馆用户服务体系构建——学术交流视角[J]. 图书情报工作, 2025, 69(6): 4-17. (LI J M, DU X Y, CAO K R, et al. Construction of library user service system in the digital intelligence era: from the perspective of academic communication [J]. Library and information service, 2025, 69(6): 4-17.)
[15] European Commission. European strategy for data[EB/OL]. [2025-09-05]. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52020DC0066.
[16] AHMADIAN A S, JÜRJENS J, STRÜBER D. Extending model-based privacy analysis for the industrial data space by exploiting privacy level agreements[C]//Proceedings of the 33rd annual ACM symposium on applied computing. New York: Association for Computing Machinery, 2018: 1142-1149.
[17] NOARDO F, ATKINSON R, BASTIN L, et al. Standards for data space building blocks[J]. Remote sensing, 2024, 16(20): 3824.1-38.
[18] 赵一鸣, 黄丹迪.我国可信数据空间的建设原则与发展路径[J]. 现代情报, 2025, 45(6): 126-139. (ZHAO Y M, HUANG D D. Construction principles and development paths of trusted data space in China[J]. Journal of modern information, 2025, 45(6): 126-139.)
[19] 敦帅, 柳恒超.可信数据空间建设:制度、技术与治理[J/OL]. 科学学研究, 1-11[2025-06-18]. https://doi.org/10.16192/j.cnki.1003-2053.20250527.001. (DUN S, LIU H C. Trusted data space construction: institutions, technologies, and governance[J/OL]. Studies in science of science, 1-11[2025-06-18]. https://doi.org/10.16192/j.cnki.1003-2053.20250527.001.)
[20] 李卓卓, 张楚辉. 数据伦理框架:国际对话与中国化的构建路径[J]. 情报学报, 2024, 43(2): 154-166. (LI Z Z, ZHANG C H. Data ethics framework: international dialogue and the path of localization in China[J]. Journal of the China Society for Scientific and Technical Information, 2024, 43(2): 154-166.)
[21] 谈晓文.欧盟数据共享治理模式研究及中国镜鉴[J]. 德国研究, 2024, 39(5): 113-133, 138. (TAN X W. Research on the EU’s data sharing governance model and its implications for China[J]. German studies, 2024, 39(5): 113-133, 138.)
[22] 文铭, 李星熠.“自由—规制”框架下跨境数据流动治理及中国方案[J]. 中国科技论坛, 2024(4): 106-116. (WEN M, LI X Y. Governance of cross-border data flows under the “freedom-regulation” framework and China’s approach[J]. Forum on science and technology in China, 2024(4): 106-116.)
[23] 胡海波, 耿骞.数据跨境流动治理研究:溯源、脉络与动向[J]. 情报理论与实践, 2023, 46(7): 178-186, 177. (HU H B, GENG Q. Research on governance of cross-border data flow: origin, context, and trends[J]. Information studies: theory & application, 2023, 46(7): 178-186, 177.)
[24] 蔡跃洲, 马文君.数据要素对高质量发展影响与数据流动制约[J]. 数量经济技术经济研究, 2021, 38(3): 64-83. (CAI Y Z, MA W J. The impact of data factors on high-quality development and the constraints on data flow[J]. The journal of quantitative & technical economics, 2021, 38(3): 64-83.)
[25] 陈晔婷, 黄曾媛, 刘金涛, 等.中国—东盟跨境数据共享的影响因素与驱动路径研究:基于TOE框架的fsQCA与NCA分析[J]. 世界经济研究, 2024(11): 108-119, 137. (CHEN Y T, HUANG Z Y, LIU J T, et al. Influencing factors and driving paths of China-ASEAN cross-border data sharing: an fsQCA and NCA analysis based on the TOE framework[J]. World economy studies, 2024(11): 108-119, 137.)
[26] 宋科, 孙翼, 朱斯迪.央行数字货币能带来货币国际化吗[J]. 国际经济评论, 2024(6): 103-124, 7. (SONG K, SUN Y, ZHU S D, et al. Can central bank digital currency promote currency internationalization?[J]. International economic review, 2024(6): 103-124, 7.)
[27] 范柏乃, 盛中华.数字风险治理:研究脉络、理论框架及未来展望[J]. 管理世界, 2024, 40(8): 208-239. (FAN B N, SHENG Z H. Digital risk governance: research evolution, theoretical framework, and future prospects[J]. Management world, 2024, 40(8): 208-239.)
[28] 程啸.数据权益与数据交易[M]. 北京: 中国人民大学出版社, 2024: 572. (CHENG X. Data rights and data transactions[M]. Beijing: China Renmin University Press, 2024: 572.)
[29] 杜小勇, 黄科满, 卢卫.跨域数据治理[M]. 北京: 中国人民大学出版社, 2024: 318. (DU X Y, HUANG K M, LU W. Cross-domain data governance[M]. Beijing: China Renmin University Press, 2024: 318.)
[30] 韩慧健, 韩佳兵, 张锐.基于模糊认知图的物流需求预测模型研究[J]. 系统工程理论与实践, 2019, 39(6): 1487-1495. (HAN H J, HAN J B, ZHANG R. Research on logistics demand forecasting model based on fuzzy cognitive map[J]. Systems engineering - theory & practice, 2019, 39(6): 1487-1495.)
[31] 李青青, 孙守强.面向突发公共卫生事件的全流程应急决策体系构建[J]. 情报杂志, 2025, 44(2): 66-71, 91. (LI Q Q, SUN S Q. Construction of a whole-process emergency decision-making system for public health emergencies[J]. Journal of intelligence, 2025, 44(2): 66-71, 91.)
[32] MORONE P, YILAN G, IMBERT E. Using fuzzy cognitive maps to identify better policy strategies to valorize organic waste flows: an Italian case study[J]. Journal of cleaner production, 2021, 319: 128722.
[33] GAN X, YAN K, WEN T. Using fuzzy cognitive maps to develop policy strategies for the development of green rural housing: a case study in China[J]. Technological forecasting and social change, 2023, 192: 122590.
[34] MAHMOODI S A, MIRZAIE K, MAHMOODI M S, et al. A medical decision support system to assess risk factors for gastric cancer based on fuzzy cognitive map[J]. Computational and mathematical methods in medicine, 2020(1): 1016284.
[35] KAZEMI F, BAHRAMI A, SHARIF J A. Mineral processing plant site selection using integrated fuzzy cognitive map and fuzzy analytical hierarchy process approach: a case study of gilsonite mines in Iran[J]. Minerals engineering, 2020, 147: 106143.
[36] RAJAGOPAL V, SHANMUGAM P V, NANDRE R. Quantifying reputation risk using a fuzzy cognitive map: a case of a pharmaceutical supply chain[J]. Journal of advances in management research, 2022, 19(1): 78-105.
[37] POOMAGAL S, SUJATHA R, KUMAR P S, et al. A fuzzy cognitive map approach to predict the hazardous effects of malathion to environment (air, water and soil)[J]. Chemosphere, 2021, 263: 127926.
[38] BAKHTAVAR E, YOUSEFI S. Assessment of workplace accident risks in underground collieries by integrating a multi-goal cause-and-effect analysis method with MCDM sensitivity analysis[J]. Stochastic environmental research and risk assessment, 2018, 32(12): 3317-3332.
[39] FALCONE P M, DE ROSA S P. Use of fuzzy cognitive maps to develop policy strategies for the optimization of municipal waste management: a case study of the land of fires (Italy)[J]. Land use policy, 2020, 96: 104680.
[40] 刘勤明, 叶春明, 吕锋.智能系统远程运维技术[M]. 北京: 化学工业出版社, 2024: 396. (LIU Q M, YE C M, LYU F. Remote operation and maintenance technology for intelligent systems[M]. Beijing: Chemical Industry Press, 2024: 396.)
[41] 陆峰.数字化转型与治理方法论[M]. 北京: 人民邮电出版社, 2022: 258. (LU F. Digital transformation and governance methodology[M]. Beijing: Posts & Telecom Press, 2022: 258.)
[42] 刘兵, 池宜兴, 曾建丽, 等.空间科学卫星工程项目进度及风险分析——基于蒙特卡洛模拟仿真[J]. 科技管理研究, 2021, 41(13): 158-166. (LIU B, CHI Y X, ZENG J L, et al. Schedule and risk analysis of space science satellite engineering projects: based on Monte Carlo simulation[J]. Science and technology management research, 2021, 41(13): 158-166.)
[43] 雷辉.多主体协同共建的行动者网络构建研究[M]. 北京:人民出版社, 2017: 16-18. (LEI H. Research on the construction of multi-agent collaborative actor networks[M]. Beijing: People’s Publishing House, 2017: 16-18.)
[44] 国际数据空间协会. IDS-RAM 4.0[R/OL]. [2025-08-22]. https://github.com/International-Data-Spaces-Association/IDS-RAM_4_0. (International Data Spaces Association. IDS-RAM 4.0[R/OL]. [2025-08-22]. https://github.com/International-Data-Spaces-Association/IDS-RAM_4_0.)
[45] 国际数据空间协会.数据空间景观的立场文件[R/OL]. [2025-09-21]. https://internationaldataspaces.org/wp-content/uploads/dlm_uploads/IDSA-Position-Paper-Data-Spaces-Landscape-1.pdf. (International Data Spaces Association. Position paper on data spaces landscape[R/OL]. [2025-09-21]. https://internationaldataspaces.org/wp-content/uploads/dlm_uploads/IDSA-Position-Paper-Data-Spaces-Landscape-1.pdf.)
[46] 国际数据空间协会.数据空间中的语义互操作性立场文件[R/OL]. [2025-09-18]. https://internationaldataspaces.org/wp-content/uploads/dlm_uploads/IDSA-Position-Paper-Semantic-Interoperability-in-Data-Spaces-1.pdf. (International Data Spaces Association. Position paper on semantic interoperability in data spaces[R/OL]. [2025-09-18]. https://internationaldataspaces.org/wp-content/uploads/dlm_uploads/IDSA-Position-Paper-Semantic-Interoperability-in-Data-Spaces-1.pdf.)
[47] 国际数据空间协会.AI法案的数据空间立场文件[R/OL]. [2025-09-12]. https://internationaldataspaces.org/wp-content/uploads/dlm_uploads/IDSA-Position-Paper-Data-Spaces-for-the-Al-Act-1-1.pdf. (International Data Spaces Association. Position paper on data spaces for the AI Act[R/OL]. [2025-09-12]. https://internationaldataspaces.org/wp-content/uploads/dlm_uploads/IDSA-Position-Paper-Data-Spaces-for-the-Al-Act-1-1.pdf.)
[48] 欧洲委员会.欧洲数据战略[EB/OL]. [2025-08-22]. https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/europe-fit-digital-age/european-data-strategy_en. (European Commission. European data strategy[EB/OL]. [2025-08-22]. https://commission.europa.eu/strategy-and-policy/priorities-2019-2024/europe-fit-digital-age/european-data-strategy_en.)
[49] IEEE标准协会. IEEE 3158: 10881标准[S/OL]. [2025-07-22]. https://standards.ieee.org/ieee/3158/10881/. (IEEE Standards Association. IEEE 3158: 10881 standard[S/OL]. [2025-07-22]. https://standards.ieee.org/ieee/3158/10881/.)
[50] 数据空间研究院.《数据空间发展战略蓝皮书》[EB/OL]. [2025-07-15]. https://kcr.ahnews.com.cn/kcr/content/4658_1133337.html. (Data Space Research Institute. Blue book on data space development strategy[EB/OL]. [2025-07-15]. https://kcr.ahnews.com.cn/kcr/content/4658_1133337.html.)
[51] 国家信息中心浪潮云.2024数据空间关键技术研究报告[EB/OL]. [2025-09-09]. https://max.book118.com/html/2024/0909/8074056007006125.shtm. (National Information Center & Inspur Cloud. 2024 research report on key technologies for data spaces[EB/OL]. [2025-09-09]. https://max.book118.com/html/2024/0909/8074056007006125.shtm.)
[52] 陈美, 汪翠翠.开放政府数据用户利用能力影响因素分析——基于DEMATEL-ISM的研究[J]. 图书情报工作, 2024, 68(14): 128-141. (CHEN M, WANG C C. Analysis of influencing factors on open government data utilization capability: a DEMATEL-ISM based approach[J]. Library and information service, 2024, 68(14): 128-141.)