图书情报工作

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2025 , Vol. 69 >Issue 2: 87 - 95

DOI: https://doi.org/10.13266/j.issn.0252-3116.2025.02.008

研究论文

公共数据开放共享的数据中台构建探析

  • 马岩 ,
  • 郑建明 ,
  • 赵秀颖 ,
  • 王翠姣
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  • 1 河北医科大学图书馆 石家庄 050017;
    2 南京大学信息管理学院 南京 210023
马岩，馆员，硕士，E-mail:18900497@hebmu.edu.cn；郑建明，教授，博士生导师；赵秀颖，副研究馆员，硕士；王翠姣，馆员，硕士。

收稿日期: 2023-09-12

  修回日期: 2024-01-16

  网络出版日期: 2025-01-25

基金资助

本文系江苏高校哲学社会科学研究重大项目“长三角区域一体化发展中公共文化数据协同治理研究”（项目编号：2022SJZD094）研究成果之一。

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Analysis of the Data Center Construction for Public Data Opening and Sharing

  • Ma Yan ,
  • Zheng Jianming ,
  • Zhao Xiuying ,
  • Wang Cuijiao
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  • 1 Library of Hebei Medical University, Shijiazhuang 050017;
    2 School of Information Management, Nanjing University, Nanjing 210023
Ma Yan, librarian, master, E-mail: 18900497@hebmu.edu.cn; Zheng Jianming, professor, doctoral supervisor; Zhao Xiuying, associate research librarian, master; Wang Cuijiao, librarian, master.

Received date: 2023-09-12

  Revised date: 2024-01-16

  Online published: 2025-01-25

Supported by

This work is supported by the major project of Philosophy and Social Sciences Planning in Jiangsu Province,titled “Research on Collaborative Governance of Public Cultural Data in the Integration of the Yangtze River Delta Region”(Grant No.2022SJZD094).

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摘要

[目的/意义] 公共数据开放共享是国家公共服务发展和数字化建设的关键因素。数智时代，对于如何融入数据价值创造、智慧共享的理念，以提高公共数据开放共享水平和效率，满足社会和公众的公共数据需求，需要探索新的研究方法和实现路径。[方法/过程] 采用文献调研的方法，梳理我国公共数据开放共享实践的发展过程和研究现状。结合信息经济学五大原理，分析数据中台对于公共数据开放共享的价值，采用实证研究的方法，从总体框架、策略路径以及实践关键点设计方面构建基于数据中台的公共数据开放共享模式。[结果/结论] 基于数据中台的公共数据开放共享模式构建，是在公共数据仓储基础上对整个业务流程的重组和再造，需要从组织、标准、机制和安全等方面来共同保障。是整个公共数据能力的复用，可以更好地满足社会、组织和个人的公共数据需求。

关键词： 公共数据开放; 数据治理; 数据中台; 开放共享

本文引用格式

马岩 , 郑建明 , 赵秀颖 , 王翠姣 . 公共数据开放共享的数据中台构建探析[J]. 图书情报工作, 2025 , 69(2) : 87 -95 . DOI: 10.13266/j.issn.0252-3116.2025.02.008

Abstract

[Purpose/Significance] Public data opening and sharing is a critical factor in the development of national public services and digital construction. In the era of data intelligence, exploring new research methods and implementation pathways is essential for integrating the value creation and intelligent data sharing. This article aims to elevate the level and efficiency of public data opening and sharing, and meet the public data needs of society and individuals. [Method/Process] With the literature review, this study explored the development and research status of public data opening and sharing in China. By incorporating the five principles of information economics, it analyzed the value of data centers in the context of public data opening and sharing. With the empirical research, this study designed a model for public data opening and sharing based on data centers from overall frameworks, strategic pathways, and practical key points. [Result/Conclusion] The construction of a public data opening and sharing model based on data middle platform involves the restructuring and reengineering of the entire business process upon the public data repositories. It needs to be fully guaranteed from organization, standardization, procedure and security. The model facilitates the reuse of overall public data capabilities, to better meet the public data needs of society, organizations, and individuals.

Key words： open public data; data governance; data center; open data sharing

参考文献

[1] 代佳欣, 黄靖. 数据开放利用的隐私权益抗争：类型、风险与分层治理策略[J]. 图书情报工作, 2023, 67(7): 44-52. (DAI J X, HUANG J. The protest for privacy rights in the data opening and utilization: the strategies for types, risks and hierarchical governance[J]. Library and information service, 2023, 67(7): 44-52.)
[2] 陈冬冬. 公共数据开放法律规制问题研究[D]. 杭州: 浙江财经大学, 2023. (CHEN D D. Research on the legal regulation of public data opening[D]. Hangzhou: Zhejiang University of Finance and Economics, 2023.)
[3] 方锦程, 刘颖, 高昊宇, 等. 公共数据开放能否促进区域协调发展？——来自政府数据平台上线的准自然实验[J]. 管理世界, 2023, 39(9): 124-142. (FANG J C, LIU Y, GAO H Y, et al. Does public data access promote regional harmonious development? On a quasi-natural experiment of government data platform access[J]. Journal of management world, 2023, 39(9): 124-142.)
[4] 孙逍, 王盈盈. 企业数据向政府共享：逻辑因由、实践模式与发展路径[J]. 电子政务, 2024(3): 81-92. (SUN X, WANG Y Y. Sharing enterprise data with the government: logical reasons, practical models, and development paths[J]. E-government, 2024(3): 81-92.)
[5] 邹纯龙, 王今, 马海群, 等. 公共数据开放利用效果影响因素与组态分析研究——基于技术接受模型和服务场景理论双重视角[J]. 情报科学, 2023, 41(8): 9-17. (ZOU C L, WANG J, MA H Q, et al. The influence factor and configuration analysis of public data open utilization effect:based on dual perspectives of technology acceptance model and service scenario theory[J]. Information science, 2023, 41(8): 9-17.)
[6] 施颖莹. 数字政府一体化建设背景下政府数据治理研究[D]. 杭州: 浙江 大学, 2023. (SHI Y Y. Research on government data governance under the background of digital government integration construction: case of Zhejiang[D]. Hangzhou: Zhejiang University, 2023.)
[7] 王贵海, 朱学芳. 国外典型数据开放模式分析及其在我国的实践与启示[J]. 情报理论与实践, 2023, 46(12): 193-200. (WANG G H, ZHU X F. Analysis of typical data opening models abroad and its practice and enlightemment in China[J].Information studies: theory & application, 2023, 46(12): 193-200.)
[8] 焦小妹. G市政府首席数据官制度试点的协同梗阻[D]. 广州: 广州 大学, 2023. (JIAO X M. Collaborative obstruction of the pilot of the chief data officer system of the g municipal government: based on the three-dimensional collaborative analysis framework oforganization, system and technology[D]. Guangzhou: Guangzhou University, 2023.)
[9] 王东方. 数字法治政府建设中“ 数治” 对“ 法治” 的挑战及其协调[J]. 西北民族大学学报(哲学社会科学版), 2023(4): 64-74. (WANG D F. The challenge of “digital governance” to “rule of law”in the construction of a digital law-based government and its coordination[J]. Journal of Northwest Minzu University (philosophy and social sciences), 2023(4): 64-74.)
[10] 钱佳鑫. 黑龙江省政府数据治理的问题及对策研究[D]. 哈尔滨: 哈尔滨商业大学, 2021. (QIAN J X. Research on problems and countermeasures of heilongjiang provincial government data governance[D]. Harbin: Harbin University of Commerce, 2021.)
[11] 刘星, 程结晶. 公共数据开放背景下数字公民教育模式的构建与分类[J]. 图书与情报, 2022(5): 84-91. (LIU X, CHENG J J. Construction and classification of digital citizenshipeducation models in the context of public data openness[J]. Library & information, 2022(5): 84-91.)
[12] 王锡锌, 黄智杰. 公平利用权: 公共数据开放制度建构的权利基础[J]. 华东政法大学学报, 2022, 25(2): 59-72. (WANG X X, HUANG Z J. The right to fair use: the right foundation for the construction of public data open system[J]. ECUPL journal, 2022, 25(2): 59-72.)
[13] 程风, 邵春霞. 中国省级政府数据开放水平的驱动机制研究 [J]. 情报 杂志, 2022, 41(3): 198-207. (CHENG F, SHAO C X. Research on the driving mechanism of China’s provincial government data opening level[J]. Journal of intelligence, 2022, 41(3): 198-207.)
[14] 张向先, 张莉曼, 赵彬. 虚实并举, 文以载道——靖继鹏先生信息经济学学术思想研究[J]. 图书情报工作, 2020, 64(13): 16-22. (ZHANG X X, ZHANG L M, ZHAO B. Do both ideological and practical work, writings are for conveying truth: research on Jing Jipeng’s academic thoughts of information economics[J]. Library and information service, 2020, 64(13): 16-22.)
[15] 付登坡, 江敏, 任寅姿. 数据中台: 让数据用起来[M]. 北京: 机械工业出版社, 2020. (FU D P, JIANG M, REN Y Z, et al. Data middle office: make data valuable[M]. Beijing: China Machine Press, 2020.)
[16] TAMVADA S R, MOGHADDAM S. Data center energy efficiency enhancement potential of a membrane-assisted phasechange heat sink[J]. Applied thermal engineering, 2023, 228: 120556.
[17] 李巍巍. 数据中台技术在业务系统中的应用研究[J]. 现代信 息科 技, 2019, 3(21): 108-110. (LI W W. Research on the application of dpaas technology in business system[J]. Modern information technology, 2019, 3(21): 108-110.)
[18] TARAFDAR A, SARKAR S, DAS R K, et al. Power modeling for energy-efficient resource management in a cloud data center[J]. Journal of gridcomputing, 2023, 21(1): 10.
[19] 蔡迎春, 欧阳剑, 严丹. 基于数据中台理念的图书馆数据服务模式研究[J]. 图书馆杂志, 2021, 40(11): 99-107, 63. (CAI Y C, OUYANG J, YAN D. Research on library data service mode based on the concept of data middle platform[J]. Library journal, 2021, 40(11): 99-107, 63.)
[20] 张弛. 数据中台在应对突发公共事件中的核心价值研究 [J]. 华中科技大学学报(社会科学版), 2021, 35(1): 77-84. (ZHANG C. Study of big data middle end core values on responding to sudden public events[J]. Journal of Huazhong University of Science and Technology (social science edition), 2021, 35(1): 77-84.)
[21] 明承瀚, 徐晓林, 王少波. 政务数据中台: 城市政务服务生态新动能[J]. 中国行政管理, 2020(12): 33-39. (MING C H, XU X L, WANG S B. Middle-end of government data: new driving force of urban government service ecosystem[J]. Chinese public administration, 2020(12): 33-39.)
[22] RICHARDS A S, SOSSEN B, EMERY J C, et al. Quantifying progression and regression across the spectrum of pulmonary tuberculosis: a data synthesis study[J]. The lancet global health, 2023, 11(5): e684-e692.
[23] 罗梦兰, 文庭孝, 罗贤春. 国外政府数据治理研究的文献分布、主题结构及热点演化[J]. 情报科学, 2023, 41(3): 180-190. (LUO M L, WEN T X, LUO X C. Literature distribution, topic structure and hotspot evolution of foreign government data governance research [J]. Information science, 2023, 41(3): 180-190.)
[24] 薛翔, 赵宇翔, 朱庆华, 等. 基于公众科学模式的重大公共卫生事件开放数据服务生态系统构建[J]. 图书情报工作, 2022, 66(4): 33-44. (XUE X, ZHAO Y X, ZHU Q H, et al. Building open data service ecosystem of major public health emergencies based on citizen science mode [J]. Library and information service, 2022, 66(4): 33-44.)
[25] 刘佳静, 郑建明. 公共数据开放利用体系框架研究[J]. 现代情报, 2022, 42(10): 90-98. (LIU J J, ZHENG J M. Research on the framework of public data open utilization system [J]. Journal of modern information, 2022, 42(10): 90-98.)
[26] 王理想, 廖永红. 一体化智慧校园中台架构的设计与实现[J]. 中国教育信息化, 2022, 28(1): 100-106. (WANG L X, LIAO Y H. Design and realization of data platform architecture in integrated smart campus[J]. Chinese journal of ICT ineducation, 2022, 28(1): 100-106.)
[27] 彭锋, 宋文欣, 孙浩峰. 云原生数据中台: 架构、方法论与实践[M]. 北京: 机械工业出版社, 2021. (PENG F, SONG W X, SUN H F. Cloud native data middle platform: architecture, methodology and practice[M]. Beijing: China Machine Press, 2021.)
[28] 马晓东. 数字化转型方法论: 落地路径与数据中台[M]. 北京: 机械 工业 出版 社, 2021. (MA X D. Implementation and data platform of digital transformation methodology[M]. Beijing: China Machine Press, 2021.)
[29] 林伟, 周耀铭. 国内外数据治理研究述评[J]. 数字图书馆论 坛, 2022(6): 65-72. (LIN W, ZHOU Y M. Review of data governance research at home and abroad [J]. Digital library forum, 2022(6): 65-72.)
[30] 马海群, 邹纯龙, 王今. 公共数据用户感知价值内涵及量表构建研究[J]. 情报理论与实践, 2022, 45(10): 11-18. (MA H Q, ZOU C L, WANG J. Research on the connotation and scale construction for perceived value of public data users[J]. Information studies: theory & application, 2022, 45(10): 11-18.)
[31] 李超, 袁兆山, 吴雷. 两级数据库的设计和实现技术研究[J]. 计算机应用研究, 2006(7): 153-155. (LI C, YUAN Z S, WU L. Research on two-level database design and implementation technique[J]. Application research ofcomputers, 2006(7): 153-155.)
[32] 高翔. 超越政府中心主义：公共数据治理中的市民授权机 制[J]. 治理 研究, 2022, 38(2): 15-23. (GAO X. Beyond government centralism: the citizen authorization mechanism in public data governance [J]. Governance studies, 2022, 38(2): 15-23.)
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