基于FAIR原则的数据期刊开放共享与关联模型研究

Research on Open Sharing and Association Model of Data Journals Based on FAIR Principle

[目的/意义]为揭示数据论文与期刊论文关联出版的新形态,对目前数据期刊的开放共享、数据论文与期刊论文之间的关联进行研究,有助于推动科学数据的开放共享发展,促进科学数据的高效流通,使科学数据在多层维度释放数据价值。[方法/过程]基于FAIR原则,从元数据元素、文献服务等角度出发,构建数据流向视角下数据论文与期刊论文之间的互关联模型,分析数据论文与期刊论文之间的关联过程,并选取代表性数据期刊Data in Brief的数据论文为实例展开模型验证与实践参照。[结果/结论]本文基于“可访问”“可发现”对“开放共享”展开研究;基于“可互操作”和“可重用”对“关联”展开研究。通过构建理论模型、实例验证,厘清数据论文与期刊论文之间的关联模式以及验证理论模型的可行性与合理性。

[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 theoretical 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.