摘要
数据要素相关政策是激发数据要素潜能、促进数字经济发展、推动数据要素市场建设的重要保障,对现行数据要素相关政策进行量化评价对今后政策的优化和完善具有重要意义。文章以中央和地方共312项数据要素相关政策为研究对象,运用文本挖掘和内容分析法对政策高频词进行提取,结合前人研究成果,构建基于PMC指数模型的数据要素相关政策评价指标,并选取其中6项政策进行实证分析。结果表明,在这6项政策中,2项为优秀等级,4项为良好等级,数据要素相关政策整体效果较好,具有一定的科学性和协同性。下一阶段的政策制定可以从丰富政策性质、长短中期结合、平衡政策工具、拓宽数据领域、延伸政策内容等进行完善和优化。
Policies concerning data elements play a crucial role in unlocking the potential of data elements,promoting digital economic development,and advancing the construction of data element markets.Conducting a quantitative evaluation of current data element policies is essential for optimizing and improving future policies.This study examines a total of 312 central and local policies related to data elements,using text mining and content analysis to extract high-frequency terms from policy texts.Drawing on previous research,it establishes evaluation indicators for data element policies based on the Policy Modeling Consistency Index(PMC Index)and conducts an empirical analysis of six selected policies.The results show that,among these six policies,two are rated as excellent and four as good,indicating that policies related to data elements perform well overall,with certain scientific and synergistic properties.Future policy development can be improved and optimized by enriching policy characteristics,integrating short-,medium-,and long-term goals,balancing policy tools,broadening data domains,and extending policy content.
作者
邢文明
徐萌萌
陈继丽
姚微
Xing Wenming;Xu Mengmeng;Chen Jili;Yao Wei(School of Public Administration of Xiangtan University,Xiangtan,411105)
出处
《高校图书馆工作》
2025年第1期35-44,共10页
Library Work in Colleges and Universities
基金
湖南省社会科学成果评审委员会课题“加快培育数据要素市场的对策研究”(项目编号:XSP21YBC075)
湖南省研究生科研创新一般项目“数据要素市场培育机制研究”(项目编号:CX20230674)的研究成果之一。
