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作 者:马岩[1] 郑建明[2] 赵秀颖[1] 王翠姣 Ma Yan;Zheng Jianming;Zhao Xiuying;Wang Cuijiao(Library of Hebei Medical University,Shijiazhuang 050017;School of Information Management,Nanjing University,Nanjing 210023)
机构地区:[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
出 处:《图书情报工作》2025年第2期87-95,共9页Library and Information Service
基 金: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。
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。[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.
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