Study On The Influential Factors Of Sustainable Use Of Agricultural Science Data Sharing Platform

Based on the hot spots of big data era and scientific data sharing,this paper focuses on the status quo of agricultural science data sharing platform and the main factors that affect users' continued use of agricultural science data sharing platform.The purpose of scientific data sharing is to realize the efficient use of scientific data and guide the practice with scientific data.The efficient use of scientific data comes from the continuous use of scientific sharing platform by users.With the wide application of scientific data,the agricultural scientific data sharing platform has been developed rapidly,which have 370840GB of data been incorporated into the agricultural data sharing platform.However,the frequency of users' sharing of agricultural science data has been on the decline.Therefore,it is of great significance to study the influential factors that the users continue to use the agricultural science data sharing platform,which will improve the users' utilization rate.This research summarizes the concepts of data,scientific data and agricultural science data.Through the research and refinement of the information system successful model,ECM-ISC model and social influence theory,Based on this,the sustainable use model of agricultural science data sharing platform is constructed.According to the characteristics of agricultural science data sharing platform,the "system quality" variable in the successful model of information system is changed to"platform quality",at the same time,the variable of "information quality"is changed to "data quality" according to the characteristics of agricultural science data.Finally,according to the model put forward the research hypothesis.Design questionnaires and send questionnaires to specific groups of people.The reliability analysis and validity analysis of 263 valid questionnaires were analyzed by using SPSS 24.0,eight hypotheses were tested with AMOS 20.0 software.The results show that this model has good adaptability,and the quality of the platform in the model positively affects the perceived usability of users.Data quality positively affects the user's perceived usefulness and negatively affects the user's perceived risk;perceived usefulness,perceived ease of use and social impact have a positive effect on the user's continuous use intention;perceived risk to the user's continuous use intention Have a negative impact.Based on this,we put forward suggestions on how to perfect the agricultural science data sharing platform so as to better retain users.The Improved platform will provide agricultural science data support to guide the practical activities,to play an invaluable role for the realization of China's agricultural modernization!...