Chain-of-Thought Reasoning and Behavior Strategy of Scientific Data Sharing from the Perspective of Data Spaces
To explore the game problem of scientific data sharing from the perspective of data spaces,it is helpful to form a safe and compliant path of scientific data sharing among decentralized and heterogeneous multi-agents,and establish a new paradigm of trusted circulation of scientific data.This paper is based on evolutionary game theory,this study constructs a two-party game model of scientific data sharing based on the thought chain reasoning of data spaces promoting scientific data sharing,and analyzes the dynamic evolution mechanism of sharing behavior by using the princi-ple of replication dynamic equation.The research finds out that under the four-in-one thinking mode of trust-dynamic-adaptation-collaboration,the data spaces built a trusted ecology,strengthened data autonomy,standardized technology governance,and guided collaborative innovation,so that the only evolutionarily stable strategy to promote the sharing of scientific data between the two sides of the game is(sharing,sharing).Combined with the current situation in China,this study suggests adopting multiple paths of"rule-making-compliance supervision""multi-participation-resource integra-tion""optimization layout-technological breakthrough"to promote scientific data sharing.
data spacescientific datadata sharingevolutionary game
万方数据
维普
