摘要
科学数据管理政策在规范数据管理和促进科研创新方面具有重要意义。对现行政策进行量化分析有助于为未来相关政策的制定和改进提供参考。构建了一个涵盖政策目标、政策工具、政策主题和治理领域的四维分析框架,综合采用多种文本分析方法,对相关政策文本进行了单维度和多维度的交叉比较分析。结果表明,我国已建立了相对完善的科学数据管理政策体系,但仍有提升空间。未来可以进一步优化政策目标,细化政策内容,加强执行监督机制的设计,增强需求型政策工具的应用,并提升政策工具的协同性。
Scientific data management policy plays an important role in standardizing data management and promoting scientific research innovation.The quantitative analysis of the current policy is helpful to provide reference for the formulation and improvement of relevant policies in the future.A four-dimensional analysis framework covering policy objectives,policy tools,policy themes and governance fields was constructed,and a variety of text analysis methods were comprehensively adopted to carry out a cross-dimensional and multi-dimensional comparative analysis of relevant policy texts.The results show that China has established a relatively perfect scientific data management policy system,but there is still room for improvement.In the future,policy objectives can be further optimized,policy contents can be refined,the design of implementation supervision mechanism can be strengthened,the application of demand-oriented policy tools and the synergy of policy tools can be enhanced.
作者
宋振豪
田文迪
汪源
SONG Zhenhao;TIAN Wendi;WANG Yuan(School of Management,Wuhan Textile University,Wuhan 430200,China)
出处
《科技和产业》
2025年第4期1-8,共8页
Science Technology and Industry
基金
国家社全科学基金项目一般项目(22BGL139)
湖北省普通高等学校人文社会科学重点研究基地项目(DSS20200705)
湖北省普通高等学校人文社会科学重点研究基地项目(DSS20170303)
湖北省教育厅科学技术研究计划指导性项目(B2013203)。
关键词
科学数据管理政策
政策优化
四维分析视角
政策工具
scientific data management policy
policy optimization
four-dimensional analysis perspective
policy tools
