[Purpose/Significance] In the era of digital intelligence, the digital transformation of the archival industry has become an inevitable requirement and key way to drive the innovative development of new quality productivity. On the basis of explaining the rise of digitalization of archives, this paper analyzes the theoretical connotation of digital intelligence in archives and explores the practical path of its transformation. [Method/Process] Focusing on the emerging topic of digital intelligence in archives, through literature analysis, model construction and theoretical exploration, this paper established a theoretical model of archival digital intelligence comprising modal, value, field, and management chains, revealed the basic concepts, evolutionary logic and operational rules of digital intelligence in archives are revealed to explore its theoretical connotation and implementation strategies. [Result/Conclusion] Digital intelligence in archives represents a new direction and stage of archives management in the era of digital intelligence. Combining the development needs of new quality productivity with the requirements for high-quality construction of the archives, it is necessary to strengthen data empowerment, subject empowerment, technological empowerment, cultural empowerment, industrial empowerment and intellectual empowerment, activate the value potential of archival data elements, cultivate and develop new quality productivity of archives, and assist in the digital transformation and intelligent upgrading of the archives industry.
[1] 金波, 杨鹏. “数智”赋能档案治理现代化：话语转向、范式变革与路径构筑[J]. 档案学研究, 2022(2): 4-11. (JIN B, YANG P. “Data intelligence” empowers modernization of archives governance: discourse turn, paradigm change and path construction[J]. Archives science study, 2022(2): 4-11.)
[2] 陈艳红, 李健. 档案数智化赋能韧性城市建设的价值阐述、理论基础及实践路径[J]. 档案与建设, 2023(8): 19-22. (CHEN Y H, LI J. Value explanation, theoretical basis and practical path of archival digital intelligence empowering resilient city development[J]. Archives & construction, 2023(8): 19-22.)
[3] 杨鹏, 金波, 孙尧. 数智环境下档案工作面临的挑战与机遇[J]. 图书情报工作, 2024, 68(8): 3-13. (YANG P, JIN B, SUN Y. Challenges and opportunities of archival work in the digital intelligence environment[J]. Library and information service, 2024, 68(8): 3-13.)
[4] 冯惠玲. 数智时代档案数据的“重做”与“重塑”[J]. 档案与建设, 2024(10): 3-4. (FENG H L. The “remaking” and “reshaping” of archival data in the digital age[J]. Archives & construction, 2024(10): 3-4.)
[5] 章燕华. 以数智化驱动引领档案事业现代化的发展进程与实施路径[J]. 档案学通讯, 2023(6): 4-13. (ZHANG Y H. The trends and paths of “digitization and intelligence” to drive the archival modernization[J]. Archives science bulletin, 2023(6): 4-13.)
[6] 金波, 杨鹏. “数智赋能”驱动档案学学科范式变革[J]. 中国图书馆学报, 2024, 50(4): 85-99. (JIN B, YANG P. “Data intelligence empowerment” drives the discipline paradigm change of archival science[J]. Journal of library science in China, 2024, 50(4): 85-99.)
[7] 章燕华. 以档案数智化新成就助力中国式现代化建设[N]. 中国档案报, 2024-11-04(3). (ZHANG Y H. Boost Chinese path to modernization with new achievements of archive digital intelligence[N]. China archives journal, 2024-11-04(3).)
[8] 界面新闻. IDC：全球2024年将生成159.2ZB数据, 2028年将增加一倍以上[EB/OL]. [2025-01-10]. https://baijiahao.baidu.com/s?id=1798913578910345481&wfr=spider&for=pc. (Interface News. IDC: 159.2ZB of data will be generated globally by 2024, and will more than double by 2028[EB/OL]. [2025-01-10]. https://baijiahao.baidu.com/s?id=1798913578910345481&wfr=spider&for=pc.)
[9] 王海明. 数智时代的正义：复杂性及其当代旨归[J]. 浙江社会科学, 2022(1): 68-81, 158-159. (WANG H M. Justice in the era of digital intellectualization: complexity and its contemporary guiding principle[J]. Zhejiang social sciences, 2022(1): 68-81, 158-159.)
[10] 国家工业信息安全发展研究中心. 《全国数据资源调查报告（2023年）》发布[EB/OL]. [2025-01-10]. https://www.cics-cert.org.cn/web_root/webpage/articlecontent_101006_1793458699935682562.html. (National Industrial Information Security Development. Research center national data resource survey report (2023) released[EB/OL]. [2025-01-10]. https://www.cics-cert.org.cn/web_root/webpage/articlecontent_101006_1793458699935682562.html.)
[11] 李芃达. 从11.2万亿元到53.9万亿元——数字经济发展动能强劲[EB/OL]. [2025-01-10]. https://www.gov.cn/yaowen/liebiao/202409/content_6976033.htm. (LI P D. From 11.2 trillion yuan to 53.9 trillion yuan: strong momentum for the development of the digital economy[EB/OL]. [2025-01-10]. https://www.gov.cn/yaowen/liebiao/202409/content_6976033.htm.)
[12] 张建锋, 肖利华, 叶军, 等. 数智化敏捷组织：云钉一体驱动组织转型[M]. 北京: 人民邮电出版社, 2022: 1. (ZHANG J F, XIAO L H, YE J, et al. Digitized agile organization: cloud nails drive organizational transformation[M]. Beijing: People’s Posts and Telecommunications Press, 2022:1.)
[13] 国家档案局政策法规司. 2023年度全国档案主管部门和档案馆基本情况摘要（二）[EB/OL]. [2025-01-10]. https://www.saac.gov.cn/daj/zhdt/202409/a277f8b3bfe942ca88d3b7bcf6ddf120.shtml. (Department of Policies and Regulations of The National Archives Administration. Summary of the basic situation of the national archives competent departments and archives in the year of 2023(II)[EB/OL]. [2025-01-10]. https://www.saac.gov.cn/daj/zhdt/202409/a277f8b3bfe942ca88d3b7bcf6ddf120.shtml.)
[14] 国家统计局. 中国统计年鉴（2024）[EB/OL]. [2025-01-11]. https://www.stats.gov.cn/sj/ndsj/2024/indexch.htm. (National Bureau Of Statistics. China statistical yearbook (2024)[EB/OL]. [2025-11-11]. https://www.stats.gov.cn/sj/ndsj/2024/indexch.htm.)
[15] 金波, 杨鹏, 宋飞. 档案数据化与数据档案化：档案数据内涵的双维透视[J]. 图书情报工作, 2023, 67(12): 3-14. (JIN B, YANG P, SONG F. Archives datafication and data archivization: a two-dimensional perspective of archival data connotation[J]. Library and information service, 2023, 67(12): 3-14.)
[16] 钱毅. 技术变迁环境下档案对象管理空间演化初探[J]. 档案学通讯, 2018(2): 10-14. (QIAN Y. Exploring the spatial evolution of archive object management in the environment of technological changes[J]. Archives science bulletin, 2018(2): 10-14.)
[17] 赵跃. 大数据时代档案数据化的前景展望：意义与困境[J]. 档案学研究, 2019(5): 52-60. (ZHAO Y. Prospects for archives datafication in big data era: significance and dilemma[J]. Archives science study, 2019(5): 52-60.)
[18] 钱毅. 在“三态两化”视角下重构档案资源观[J]. 中国档案, 2020(8): 77-79. (QIAN Y. Reconstructing the view of archival resources from the perspective of “three states and two transformations”[J]. China archives, 2020(8): 77-79.)
[19] 侯俊, 谭玉玺, 谢德于. 陆军体系对抗仿真建模方法研究[J]. 指挥控制与仿真, 2023, 45(2): 116-121. (HOU J, TAN Y X, XIE D Y. Research on land system-of-systems combat simulation model[J]. Command control & simulation, 2023, 45(2): 116-121.)
[20] 任兵, 陈志霞, 胡小梅. 时空再造与价值重构：面向未来数智治理的元宇宙[J]. 电子政务, 2022(7): 2-15. (REN B, CHEN Z X, HU X M. Time and space reconstruction and value reconstruction: a metaverse for future digital governance[J]. E-government, 2022(7): 2-15.)
[21] 钱毅. 从“数字化”到“数据化”——新技术环境下文件管理若干问题再认识[J]. 档案学通讯, 2018(5): 42-45. (QIAN Y. From “Digitalization” to “Dataization”: reunderstanding of several issues in document management in the new technology environment[J]. Archives science bulletin, 2018(5): 42-45.)
[22] 钱毅. 数据态档案管理模式概念、特征与挑战[J]. 北京档案, 2024(9): 4-9. (QIAN Y. Concept, characteristics, and challenges of data archive management mode[J]. Beijing archives, 2024(9): 4-9.)
[23] 浙江省档案馆. 浙江省档案馆2022年工作要点[EB/OL]. [2025-01-11]. https://www.zjda.gov.cn/art/2022/2/28/art_1378487_58923443.html. (Zhejiang Provincial Archives. Key work points for Zhejiang provincial archives in 2022[EB/OL]. [2025-01-11]. https://www.zjda.gov.cn/art/2022/2/28/art_1378487_58923443.html.)
[24] 金波, 杨鹏. 大数据时代档案数据治理中国经验[N]. 中国档案报, 2024-07-29(4). (JIN B, YANG P. China’s experience in archival data governance in the era of big data[N]. China archives journal, 2024-07-29(4).)
[25] 牛力, 黎安润泽, 刘慧琳. 融合、延展、重构：物理与数字双空间业务转型视角下的档案信息技术应用思考[J]. 档案学通讯, 2023(5): 19-27. (NIU L, LI A R Z, LIU H L. Integration, extension and reconfiguration: reflections on information technology applications from the perspective of archival business transformation in physical and digital dual spaces[J]. Archives science bulletin, 2023(5): 19-27.)
[26] 徐未晚. 数字档案馆建设助力上海档案事业开创现代化转型发展新局面[J]. 中国档案, 2021(12): 36-37. (XU W W. Digital archives construction contributes to the modernization of Shanghai archives[J]. China archives, 2021(12): 36-37.)
[27] 刘越男. 数据治理：大数据时代档案管理的新视角和新职能[J]. 档案学研究, 2020(5): 50-57. (LIU Y N. Data governance: new perspective and function for archives management in big data era[J]. Archives science study, 2020(5): 50-57.)
[28] 冯惠玲. 档案学概论[M]. 北京: 中国人民大学出版社, 2023: 46. (FENG H L. Introduction to archival science[M]. Beijing: China Renmin University Press, 2023: 46.)
[29] 浙江省档案馆. 嵊州人生档案智治：释放档案数据的巨大潜能[EB/OL]. [2025-01-11]. https://mp.weixin.qq.com/s/tuwisMfobhPueqow53pOlQ. (Zhejiang Provincial Archives. Shengzhou life archives smart governance: unleashing the enormous potential of archival data[EB/OL]. [2025-01-11]. https://mp.weixin.qq.com/s/tuwisMfobhPueqow53pOlQ.)
[30] 黄珍珍. 数字赋能，档案服务再升级[N]. 浙江日报, 2020-12-15(2). (HUANG Z Z. Digital empowerment, further upgrading of archive services[N]. Zhejiang daily journal, 2020-12-15(2).)
[31] 徐拥军, 王露露. 档案部门参与大数据战略的必备条件和关键问题——以浙江省为例[J]. 浙江档案, 2018(11): 11-14. (XU Y J, WANG L L. The prerequisites and key issues for archives departments to participate in the big data strategy: taking Zhejiang province as an example[J]. Zhejiang archives, 2018(11): 11-14.)
[32] 陈建. 澳大利亚国家档案馆档案众包项目实践探析[J]. 档案学通讯, 2019(6): 72-78. (CHEN J. Analysis of the archives crowdsourcing project practice of the national archives of Australia[J]. Archives science bulletin, 2019(6): 72-78.)
[33] 加快档案资源数字化转型提升档案数字治理水平[J]. 浙江档案, 2020(11): 9-12. (Accelerate the digital transformation of archive resources and enhance the level of digital governance in archives[J]. Zhejiang archives, 2020(11): 9-12.)
[34] 黄霄羽. 国外档案事业同样具有“四大体系”——2021年国际档案界回眸[J]. 中国档案, 2022(2): 80-83. (HUANG X Y. The foreign archival industry also has “four major systems”: a review of the international archival community in 2021[J]. China archives, 2022(2): 80-83.)
[35] 金波, 杨鹏. 大数据时代档案数据治理研究[J]. 档案学研究, 2020(4): 29-37. (JIN B, YANG P. Research on archival data governance in big data era[J]. Archives science study, 2020(4): 29-37.)
[36] 张姚俊. 上海“跟着档案观上海”数字人文平台上线[N]. 中国档案报, 2023-06-15(1). (ZHANG Y J. Shanghai “follow archives to view Shanghai” digital humanities platform launched[N]. China archives journal, 2023-06-15(1).)
[37] 王玉珏, 陈思伶. 数字人文赋能档案开发利用档案数据驱动新质生产力发展[N]. 中国档案报, 2024-04-29(4). (WANG Y J, CHEN S L. Digital humanities empowering archival development and utilization, and archival data driving the development of new qualitative productivity[N]. China archives journal, 2024-04-29(4).)
[38] 王玉. 2024中国档案数据创新力指数报告：江苏高居榜首，长三角呈集聚式引领态势[EB/OL]. [2025-01-11]. https://www.jiemian.com/article/11852006.html. (WANG Y. 2024 China archival data innovation index report: Jiangsu ranks first, with the Yangtze River Delta showing a clustered leading trend[EB/OL]. [2025-01-11]. https://www.jiemian.com/article/11852006.html.)
[39] 徐光平, 吕永明. 市档案馆率先在国内开展非遗档案数据资产转化试点[EB/OL]. [2025-01-11]. https://dag.nanjing.gov.cn/gzdt/202406/t20240607_4686496.html. (XU G P, LV Y M. The municipal archives takes the lead in piloting the conversion of intangible cultural heritage archive data assets in China[EB/OL]. [2025-01-11]. https://dag.nanjing.gov.cn/gzdt/202406/t20240607_4686496.html.)
[40] 中国人民大学信息资源管理学院. MAA：为党和国家培育奋进在时代前列的档案管理精英[EB/OL]. [2025-01-11]. https://irm.ruc.edu.cn/xydt/xyxw/43aa70f8b61041a5809c9aa0b22a2982.htm. (School of Information Resource Management in Renmin University of China. MAA: cultivating archives management elites who are at the forefront of the times for the party and the country[EB/OL]. [2025-01-11]. https://irm.ruc.edu.cn/xydt/xyxw/43aa70f8b61041a5809c9aa0b22a2982.htm.)
