公共文化数据治理体系构建及保障举措研究

doi:10.13998/j.cnki.issn1002-1248.21-0823

摘要/Abstract

摘要： [目的/意义] 数据治理能够推进公共文化管理精准化、服务个性化与决策科学化。构建公共文化数据治理体系框架及其保障举措,有助于促进公共文化数字化智能化发展目标的实现。[方法/过程] 系统阐述了公共文化数据治理的内涵与功能,基于活动理论构建公共文化数据治理体系框架,并针对具体要素提出保障举措。[结果/结论] 公共文化数据治理体系由治理目标、治理主体、治理客体、治理方式（工具、规则和分工）要素构成。保障举措包括规划治理目标,多阶段渐进式实施;多元主体协同共建,加强治理能力建设;以效益促治理,专注有限数据及事务;健全制度建设,改进组织管理模式。

关键词: 公共文化, 数据治理, 治理体系, 保障举措

Abstract: [Purpose/Significance] Data governance helps promote accurate management, individualized service, and scientific decision in public culture. Constructing a framework of public cultural data governance system and corresponding guarantee measures contributes to the goal of digital and intelligent developments of public culture. [Method/Process] This paper systematically elaborates the connotation and function of public cultural data governance, builds a framework for public cultural data governance system based on the activity theory, and proposes guarantee measures for specific elements. [Results/Conclusions] The public cultural data governance system consists of the elements of governance target, governance subject, governance object, and governance methods (tools, rules, and division). Guarantee measures include the following aspects: setting data governance goals and implementing goals in several phases and progressively, constructing collaboratively by multiple subjects and improving governance capacity, promoting governance with benefits and focusing on limited data and affairs, and improving system construction and organizational management models.

Key words: public culture, data governance, governance system, guarantee measures

中图分类号:

G249

郑建明, 潘颖. 公共文化数据治理体系构建及保障举措研究[J]. 农业图书情报学报, 2022, 34(2): 4-13.

ZHENG Jianming, PAN Ying. Public Cultural Data Governance System and Guarantee Measures[J]. Journal of Library and Information Science in Agriculture, 2022, 34(2): 4-13.

参考文献

[1] 中华人民共和国文化和旅游部. “十四五”公共文化服务体系建设规划[EB/OL].[2021-10-05]. http://zwgk.mct.gov.cn/zfxxgkml/ggfw/202106/P020210623598673338311.pdf.
Ministry of Culture and Tourism of the People's Republic of China. "The 14th Five-Year" plan for the construction of public cultural services system[EB/OL].[2021-10-05].http://zwgk.mct.gov.cn/zfxxgkml/ggfw/202106/P020210623598673338311.pdf.
[2] 化柏林. “数据、技术、应用”三位一体的公共文化服务智慧化[J]. 中国图书馆学报, 2021, 47(2): 40-52.
HUA B L.Smart public culture service from the perspective of data, technology and application[J]. Journal of library science in China, 2021, 47(2): 40-52.
[3] 周知, 胡昌平. "健康中国2030"战略下健康数据协同治理体系研究[J]. 图书情报工作, 2021, 65(1): 102-109.
ZHOU Z, HU C P.Research on the collaborative governance system of health data under the strategy of "healthy China 2030"[J]. Library and information service, 2021, 65(1): 102-109.
[4] 刘炜, 张奇, 张喆昱. 大数据创新公共文化服务研究[J]. 图书馆建设, 2016(3): 4-8, 12.
LIU W, ZHANG Q, ZHANG Z Y.On the innovation of public cultural services by big data[J]. Library development, 2016(3): 4-8, 12.
[5] 侯雪言. 政府治理创新: 数据治理促进公共文化服务体系效能提升研究[J]. 领导科学, 2020(18): 35-37.
HOU X Y.Government governance innovation: A study on data governance for public cultural service system effectiveness[J]. Leadership science, 2020(18): 35-37.
[6] 嵇婷, 吴政. 公共文化服务大数据的来源、采集与分析研究[J]. 图书馆建设, 2015(11): 21-24.
JI T, WU Z.Research on resource, acquisition and analysis of big data of public cultural service[J]. Library development, 2015(11): 21-24.
[7] 孙金娟, 郑建明. 公共文化服务大数据分类体系框架构建[J]. 图书馆论坛, 2020, 40(9): 28-35.
SUN J J, ZHENG J M.Research on the framework of classification system for the big data of public cultural services[J]. Library tribune, 2020, 40(9): 28-35.
[8] 李广建, 化柏林. 公共文化服务大数据研究的体系与内容[J]. 图书馆论坛, 2018, 38(7): 62-71.
LI G J, HUA B L.A tentative model for big data research on public cultural services: Its structure and content[J]. Library tribune, 2018, 38(7): 62-71.
[9] 刘仕阳, 王威威, 化柏林. 多源数据环境下公共文化服务机构年报的数据抽取研究[J]. 图书馆杂志, 2020, 39(12): 52-60.
LIU S Y, WANG W W, HUA B L.Research on data extraction from annual reports of public cultural service institutions in the multi-source data environment[J]. Library journal, 2020, 39(12): 52-60.
[10] 化柏林, 赵东在, 申泳国. 公共文化服务大数据集成架构设计研究[J]. 图书情报工作, 2020, 64(10): 3-11.
HUA B L, ZHAO D Z, SHEN Y G.Research on big data integration architecture design of public cultural services[J]. Library and information service, 2020, 64(10): 3-11.
[11] 张春景, 曹磊, 曲蕴. 公共文化服务大数据应用模式与趋势研究[J]. 图书馆杂志, 2015, 34(12): 4-8.
ZHANG C J, CAO L, QU Y.The study of big data application modes and trends in public culture service[J]. Library journal, 2015, 34(12): 4-8.
[12] 化柏林, 刘佳颖, 王英泽. 公共文化服务大数据的应用场景分析[J]. 图书情报研究, 2021, 14(2): 12-20.
HUA B L, LIU J Y, WANG Y Z.Application scenario analysis of public cultural service big data[J]. Library and information studies, 2021, 14(2): 12-20.
[13] 郭路生, 刘春年. 基于EA的公共文化服务大数据应用体系顶层设计研究[J]. 图书馆学研究, 2019(5): 31-37.
GUO L S, LIU C N.Research on the top-level design of big data application system in public cultural service based on EA[J]. Research on library science, 2019(5): 31-37.
[14] 周耀林, 赵跃, ZHOU J N.大数据资源规划研究框架的构建[J]. 图书情报知识, 2017(4): 59-70.
ZHOU Y L, ZHAO Y, ZHOU J N.Construction of big data resources planning research framework[J]. Documentation, information & knowledge, 2017(4): 59-70.
[15] 董晓辉. 活动理论视角下高校教育数据治理体系构成要素研究[J]. 中国电化教育, 2021(3): 79-87.
DONG X H.Research on the elements of university education data governance system from the perspective of activity theory[J]. China educational technology, 2021(3): 79-87.
[16] 人民网. “文化上海云”上线9个月, 每月访问量达1500万人次[EB/OL]. [2021-10-20]. http://sh.people.com.
People's Daily. "Culture shanghai cloud" has been online for 9 months, with 15 million visits per month[EB/OL]. [2021-10-20]. http://sh.people.com.
[17] 邹雨. 基于活动理论的中学信息技术课程教学设计研究[D]. 佳木斯: 佳木斯大学, 2019.
ZOU Y.Research on the design of middle school information technology course based on activity theory[D]. Jiamusi: Jiamusi university, 2019.
[18] 高文, 徐斌艳, 吴刚. 建构主义教育研究[M]. 北京: 教育科学出版社, 2008: 51-53.
GAO W, XU B Y, WU G.Constructivist education research[M]. Beijing: Education and science press, 2008: 51-53.
[19] RUIJER E, GRIMMELIKHUIJSEN S, MEIJER A.Open data for democracy: Developing a theoretical framework for open data use[J]. Government information quarterly, 2017, 34(1): 45-52.
[20] 王卫, 王晶, 张梦君. 活动理论视角下政府数据开放模式研究[J]. 情报理论与实践, 2019, 42(6): 29-35.
WANG W, WANG J, ZHANG M J.Open mode of government data from the perspective of activity theory[J]. Information studies: Theory & application, 2019, 42(6): 29-35.
[21] 孙晓宁, 赵宇翔, 朱庆华. 社会化搜索行为的结构与过程研究: 基于活动理论的视角[J]. 中国图书馆学报, 2018, 44(2): 27-45.
SUN X N, ZHAO Y X, ZHU Q H.Refining the structure and process of social search behavior: An activity theory perspective[J]. Journal of library science in China, 2018, 44(2): 27-45.
[22] 安小米, 白献阳, 洪学海. 政府大数据治理体系构成要素研究——基于贵州省的案例分析[J]. 电子政务, 2019(2): 2-16.
AN X M, BAI X Y, HONG X H.Research on the components of government big data governance system: A case study based on Guizhou province[J]. E-Government, 2019(2): 2-16.
[23] 石庆功, 郑燃, 唐义. 公共数字文化资源整合的标准体系: 内容框架及构建路径[J]. 图书馆论坛, 2021, 41(8): 20-25.
SHI Q G, ZHENG R, TANG Y.Standard system for the integration of public digital cultural resources: Framework and approaches[J]. Library tribune, 2021, 41(8): 20-25.
[24] 钟云珍. 公共数字文化治理中的公众参与机制研究[D]. 南京: 南京大学, 2017.
ZHONG Y Z.The research of public participation mechanism in public digital culture governance[D]. Nanjing: Nanjing university, 2017.
[25] 王淼, 孙红蕾, 郑建明. 公共数字文化: 概念解析与研究进展[J]. 现代情报, 2017, 37(7): 172-177.
WANG M, SUN H L, ZHENG J M.Public digital culture: An analysis of the concept and the research development[J]. Journal of modern information, 2017, 37(7): 172-177.
[26] 中国公共关系协会国家文化大数据产业联盟. 国家文化大数据标准体系[EB/OL].[2021-10-20]. http://www.518museum.com/show/297.htm.
China public relations association national cultural data industry alliance. National cultural big data standard system[EB/OL]. [2021-10-20]. http://www.518museum.com/show/297.htm.
[27] 周炜. 大数据视域下高校数据治理优化路径研究[J]. 教育发展研究, 2021, 41(9): 78-84.
ZHOU W.Big data-driven decision-making in universities: Patterns, problems and optimization strategies[J]. Research in educational development, 2021, 41(9): 78-84.