Paper-linked data collection and sharing models of Chinese social science journals
[Purposes]Learning from international advanced experience,this paper proposes a systematic model for the paper-linked data collection and sharing of social science journals with consideration to China's national conditions and research characteristics in social sciences,aiming to provide reference for related work.[Methods]We employed expert consultation,paper review,and online survey to summarize and compare the processes and elements of paper-linked data collection and sharing of representative journal papers at home and abroad.[Findings]A model for the paper-linked data collection and sharing of Chinese social science journals was established from four aspects:data generation,management,and collection,review of data form and content,data sharing,and data reuse.[Conclusions]According to the practice of the model,we put forward the following suggestions:expanding the definition scope of paper-linked data,introducing policies for paper-linked data collection and sharing that are in line with the characteristics of social science research,introducing multi-mode paper-linked data collection and review methods,and clarifying the specifications for data sharing.
Social science journalData collectionData sharingPaper-linked dataOpen science
NETL
NSTL
万方数据
