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政府开放数据赋能与价值提升路径研究 被引量:5

Research on the Path of Government Open Data Empowerment and Value Enhancement
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摘要 [目的/意义]对政府开放数据赋能与价值提升路径进行总结与探索,丰富该领域的理论基础,打通政府开放数据整合利用到价值提升的渠道,为现阶段的政府开放数据资源建设与社会环境的搭建提供参考。[方法/过程]基于对政府开放数据平台网站的数据使用情况与相关政策发布情况进行分析,从数据、政策与市场3个方面的驱动来探索政府开放数据赋能与价值提升的基础性路径,并提出未来的发展策略。[结果/结论]政府开放数据赋能与价值提升的基础性内外驱动路径可以分为3种:数据增值、政策发布以及市场促进,并提出现阶段可以具体实施的策略,即释放政府开放数据价值,提升政府开放数据利用效能,构建三可两好三用的政府开放数据价值提升策略体系。 [Purpose/significance]Summarizing and exploring the path of open government data empowerment and value enhancement can enrich the theoretical basis in this field,and open up channels for the integration and utilization of open government data to value enhancement,and provide reference for the current stage of open government data resource construction and social environment construction.[Methods/process]Based on the analysis of the data usage and related policy releases of the open government data platform website,this paper explored the basic path of open government data empowerment and value enhancement from the three aspects of data,policy and market drive,and proposed future development strategies.[Results/conclusions]The basic internal and external driving paths of open government data empowerment and value enhancement can be divided into the following three types:data appreciation,policy release,and market promotion.And specific strategies that can be implemented at the emergence stage are proposed,that is,to release the value of open government data,increase the utilization efficiency of open government data,and build a open government data value enhancement strategy system that can be used for three purposes.
作者 段尧清 何俊雨 尚婷 Duan Yaoqing;He Junyu;Shang Ting(School of Information Management,Central China Normal University,Wuhan 430079;Hubei Data Governance and Intelligent Decision Research Center,Wuhan 430079)
出处 《知识管理论坛》 2020年第4期246-255,共10页 Knowledge Management Forum
基金 国家社会科学基金重点项目“基于全生命周期的政府开放数据整合利用机制与模式研究”(项目编号:17ATQ006)研究成果之一
关键词 政府开放数据 赋能 价值提升 路径 government open data empowerment value enhancement path
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