摘要：

Abstract:

【Purpose/significance】 Analyzing the evolutionary trends of China's scientific data management policies and exploring the

content characteristics of policies at different stages to identify policy implementation priorities and evolutionary directions.【Method/

process】 Taking scientific data management policy issued in China as the research object, this study uses the social network analysis

method to construct policy objective-tool networks based on policy content quantification, and analyzes how the policy content has

changed over time.【Result/conclusion】 In general, our scientific data management policy is moving in a positive direction, but at the

same time there are still some problems. In the future, policies should strengthen the synergy between policy objective-tools, focus on

stability and development of policy objectives, and enhance the balance in the use of scientific data management policy tools.【Innova⁃

tion/limitation】 This paper analyses the evolutionary characteristics and directions of scientific data management policies based on

methods of policy content quantification and social network analysis. Subsequent research will further expand the scope of the policy

and focus more on strengthening the evaluation of its implementation effects.