Abstract:

[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] DAccording 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.

Key words: Social science journal, Data collection, Data sharing, Paper-linked data, Open science

摘要：

【目的】 在借鉴国际经验的基础上，提出符合我国国情、社科研究特点、成体系的期刊论文关联数据汇交与共享模式，以期为相关工作提供参考。【方法】 通过专家咨询、文献及网络调研的方式，全面梳理并对比国内外代表性期刊论文关联数据汇交与共享的流程与要素。【结果】 从数据生成、管理与汇交，数据形式审核，内容审核，数据共享与复用4个环节，构建我国社科期刊关联数据汇交与共享的可能性模式。【结论】 在模式实践中，建议扩大关联数据的定义范围，划分契合社科研究特色的关联数据汇交与共享政策类型，引入多模态关联数据的汇交与审核方法，明确数据共享规范。

关键词: 社科期刊, 数据汇交, 数据共享, 论文关联数据, 开放科学