期刊论文支撑数据FAIR原则的应用评估与案例分析OACHSSCDCSTPCD

[Purpose/Significance]The application of FAIR principle in scientific and technological journals helps to enhance the discoverability,interaction,sharing,and reuse of journal paper supporting data.Evaluating the implementa-tion of FAIR is beneficial for its promotion and implementation,with the aim of providing useful references for supporting data sharing and reuse in Chinese journal papers.[Method/Process]On the basis of foreign FAIR principle evaluation models,the paper comprehensively considered the advantages of each model and the design characteristics of indicators,and combined the characteristics of supporting data related to papers in"Data Analysis and Knowledge Discovery"to build a FAIR principle index evaluation system.Based on this system,the paper analyzed the survey results from four dimen-sions.Finally,the paper proposed rationalization suggestions and optimization strategies for the application of FAIR to the support data of Chinese journal papers.[Result/Conclusion]The application of FAIR principles in supporting data for journal papers still needs further improvement,and researchers'awareness of data sharing and understanding of FAIR prin-ciples are far from sufficient.The paper proposes to promote FAIR principles and implementation from both macro and micro levels to promote more open and reusable data.