With the in-depth implementation of China’s rural revitalization strategy, data financialization will become an important means to promote agricultural modernization and rural economic development. At the practical level, the financialization of agricultural, rural and farmer (hereafter referred to as “three rural issues”) data can realize the collection and integration of data in agricultural production, circulation, and consumption links by building agricultural data platforms, thereby forming a closed-loop management system. In trust practice, it is particularly important to explore a management model based on data trust. Through data mining technology, a comprehensive analysis of farmers’ income levels, production costs, market demand, and other factors is conducted to achieve precision in the design of trust products. Carrying out interdisciplinary cooperative research and integrating relevant theories and methods of agricultural economics, data science, and finance can provide systematic solutions for the financialization of three rural issues. The economic attribute of data has been increasingly recognized and emphasized. Data trust provides a new perspective and new ideas for effectively balancing the data rights and interests structure between data subjects and data controllers, safeguarding data security, and promoting and ensuring the healthy development of the data market. This paper will focus on the new model of three rural issues data governance through data trust.