Analysis of Subject Behavior Strategies for Scientific Data Open Sharing Based on Tripartite Evolutionary Game
The open sharing of scientific data is not only a fundamental aspect of open science but also a crucial element in the implementation of China's big data strategy.This paper presents a tripartite game model involving scientific data demanders,open sharing platforms,and data providers,thoroughly examining the collaborative and competitive dynamics among these stakeholders.Through simulations of strategic evolution using Matlab software,this study delves into the impacts of key variables such as the immediate benefits of sharing scientific data openly,time costs associated with seeking such data,and platform profitability.The findings suggest that demanders paying for the specific scientific data they require plays a pivotal role in advancing the open sharing of scientific data.Moreover,the effectiveness of platform oversight mechanisms and the implementation of incentives and penalties for data providers significantly shape the strategic decisions made by these providers.Therefore,it is recommended to establish a rational payment structure for open sharing of scientific data,bolster secure supervision throughout the entire scientific data sharing lifecycle,and institute a system of rewards and penalties to further facilitate the open sharing of scientific data in China and elevate the overall level of openness in this regard.
万方数据
维普
