国际数据期刊出版质量控制机制研究  

Quality control mechanism of international data journals: A policy-based study

作　　者：关琳琳 金鑫[2] 马瀚青[3] 王长林 GUAN Linlin;JIN Xin;MA Hanqing;WANG Changlin(Editorial Office of Big Earth Data,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100094,China;Editorial Office of Atmospheric and Oceanic Science Letters,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029,China;Editorial Office of Remote Sensing Technology and Application,Lanzhou Information Center,Chinese Academy of Sciences,Lanzhou 730000,China)

机构地区：[1]中国科学院空天信息创新研究院《地球大数据(英文)》编辑部,北京市100094 [2]中国科学院大气物理研究所《大气和海洋科学快报》编辑部,北京市100029 [3]中国科学院兰州文献情报中心《遥感技术与应用》编辑部,甘肃省兰州市730000

出　　处：《中国科技期刊研究》2021年第10期1269-1277,共9页Chinese Journal of Scientific and Technical Periodicals

基　　金：中国科学院自然科学期刊编辑研究会2020年研究课题“数据期刊出版质量控制体系的研究与构建——以地球科学领域为例”(YJH006);中国科学院青年创新促进会会员人才专项(2021428)。

摘　　要：【目的】通过对国际数据期刊出版质量控制政策的调研与分析,为我国数据期刊的研究与发展提供参考与借鉴。【方法】采用网络调查法和内容分析法,对47种国际数据期刊的数据论文提交指南、同行评议方式与标准和作者服务策略三方面的编辑出版政策进行梳理,提炼数据期刊出版质量控制政策的共性要素与特性要素。【结果】国际数据期刊的出版质量控制政策着重阐述数据提交规范、数据论文结构(包括传统学术论文继承信息、数据基本信息、数据生产信息、数据重用信息)、同行评议模式、同行评议标准(包括传统学术论文常规审查标准、数据生产方法审查标准、数据审核标准、数据-论文-元数据一致性审核标准),并重视拓展作者服务(提供数据论文写作培训和撰写工具、加强与作者的互动)。【结论】数据期刊出版质量控制机制是数据期刊健康发展的重要保障。我国在建设数据期刊时,可参考国际数据期刊已有的良好经验制定出版质量控制政策,使得数据论文编辑出版的各个环节都有章可循、有政策可依。[Purposes] This paper investigates and analyzes the quality control policies of the international data journals,w hich is expected to provide references for the development of China’s data journal publication. [Methods] A survey on the editorial and publishing policies of 47 international data journals was conducted. The information retrieval and content analysis methods w ere used to summarize and refine policy elements of the quality control mechanism from the documents of instructions for authors,peer review guidelines,and author services. [Findings] The quality control policies of the international data journals focus on data submission specification,data article structure( including the content inherited from traditional academic papers,basic description of the data,data generation methods,and data reuse instructions),peer review mode,and peer review criteria( including the standards of evaluating the quality of traditional papers,the rigorousness of the data generation methods,the quality of the data,and the consistency among data,manuscript,and metadata). They also attach more importance to author services( such as providing writing training materials,developing w riting tools,and interacting with authors). [Conclusions] The quality control mechanism is an important guarantee of the healthy development of the data journals. China’s data journals can formulate quality control policies by learning from the good experience of international data journals,so that each step in data paper publication can be instructed by rigorous and reasonable policies.

关 键 词：数据期刊 数据论文 数据仓储 数据质量 质量控制 同行评议 

分 类 号：G237.5[文化科学]