首页|我国数据要素研究进展:内涵阐释、运行机理、治理体系与实践应用

我国数据要素研究进展:内涵阐释、运行机理、治理体系与实践应用

扫码查看
[目的/意义]数据要素是我国首次提出的重大理论创新,系统收集、梳理、剖析我国数据要素研究的代表性成果,构建中国特色的数据要素知识框架体系,为数据要素的理论研究及实践探索提供借鉴和启示.[方法/过程[主要采用网络调查、文献调研、内容分析法归纳我国数据要素研究的文献内容、政策报告以及专家观点等,从内涵阐释、运行机理、治理体系与实践应用4个方面进行梳理和分析.[结果/结论]我国数据要素研究成果丰硕,知识框架体系基本形成,在数据成为生产要素的理论研究以及数据要素的流通与市场化配置方面已取得一定进展,但在数据要素的有效运行、实践应用以及治理方面仍具有较大提升空间,未来研究需要注重统筹推进数据要素市场的有效运行,并促进治理体系的建设以及与应用场景的结合进而发挥乘数效用.
Data Element Research in China:Connotation Interpretation,Operation Mechanism,Governance System and Practical Application
[Purpose/Significance]The concept of data element is a significant theoretical innovation firstly proposed in China.This study systematically collects,sorts out and analyzes the representative research on data elements in China.It constructs a knowledge framework system with Chinese characteristics to provide reference and inspiration for the theoretical research and practical exploration of data element.[Method/Process]It mainly adopted network survey,literature research and content analysis to summarize literature contents,policy reports and experts,opinions on data elements research in China.Then it combed and analyzed them in four aspects,namely,connotation interpretation,operation mechanism,governance system and practical application.[Result/Conclu-sion]China has made some achievements on data elements research.It basically forms the knowledge framework system,makes some progress in the theoretical study of data as a production factor,and the circulation and market allocation of data elements.But there is still much room for improvement in the effective operation,practical appli-cation and governance of data elements.Future research needs to focus on coordinating and promoting the effective operation of data elements,and promoting the construction of the governance system and the combination with ap-plication scenarios to realize the multiplier effect.

data elementspublic datascientific datadata governancedata science

刘桂锋、吴雅琪、韩牧哲、刘琼

展开 >

江苏大学科技信息研究所 镇江 212013

江苏大学图书馆 镇江 212013

数据要素 公共数据 科学数据 数据治理 数据科学

2024

图书情报工作
中国科学院文献情报中心

图书情报工作

CSTPCDCSSCICHSSCD北大核心
影响因子:2.203
ISSN:0252-3116
年,卷(期):2024.68(23)