基于FAIR原则的数据期刊开放共享与关联模型研究OACHSSCDCSTPCD

[Purpose/Significance]In order to reveal the new form of associated publishing of data papers and journal papers,the research on the open sharing of current data journals and the association between data papers and journal papers is helpful to promote the development of open sharing of scientific data,promote the efficient circulation of scientific data,and release the data value of scientific data in multiple dimensions.[Method/Process]Based on the FAIR principle,from the perspectives of metadata elements and literature services,the mutual association model between Data papers and journal papers was constructed from the perspective of data flow,the association process between data papers and journal papers was analyzed,and the data papers of representative data journals Data in Brief were selected as examples to carry out model validation and practice reference.[Result/Conclusion]This paper studies"Open sharing"based on"Accessible"and"Findable".The"Association"is studied based on"Interoperable"and"Reusable".Through the construction of theo-retical model and case verification,the correlation between data papers and journal papers is clarified and the feasibility and rationality of the theoretical model is verified.