国际数据期刊出版的案例分析及其特征  

An study on the case analysis and characteristics of international data journal publishing

作　　者：欧阳峥峥[1] 青秀玲[1] 顾立平[1] 王辉[1] 吴鸣[1] 

机构地区：[1]中国科学院文献情报中心,北京中关村北四环西路33号100190

出　　处：《中国科技期刊研究》2015年第5期437-444,共8页Chinese Journal of Scientific and Technical Periodicals

基　　金：中国科学院文献情报中心青年人才项目"多源开放数据在科研领域的应用研究"(项目编号:青1305);科学数据管理服务试点建设(院1522)

摘　　要：【目的】通过梳理国际代表性数据期刊特点,更好地了解数据期刊发展的趋势和特征。【方法】选择15种数据期刊进行调研,对其发展现状、学科分布、出版方式、收录内容、引用机制、版权协议以及出版费用等方面进行了分析。【结果】基于Scientific Data、F1000 Research、Giga Science等代表性期刊的分析,成功的数据期刊特点包括科研人员的认知度、学术社群的认可度、知识产权保护以及管理透明化。【结论】中国数据期刊出版界在搭建数据知识库和数据期刊出版平台后,还需关注如何提升国际认知度和认可度;图书馆员除了为科研人员推荐这些开放获取的数据资源外,更重要的是协助他们鉴别良好的数据期刊,以保护他们的知识产权权益。[ Purpose ] For better understanding the trends and features of the scientific data publishing and data journal development, this study focuses on the characteristics of the international representative data journals. [ Methodlogy] We select and survey 15 data journals to analyze their development, subjects, publishing approaches, included contents, copyright agreements and publishing fees. [Findings] Based on the survey of significant journals such as Scientific Data, F1000 Research and GigaScience, the characteristics of successful data journals include the researchers＇ awareness, the recognition in the scientific community, the protection of intellectual property rights, and the management transparency. [ Conclusions ] The Chinese data journal publishing should concern how to improve international awareness and recognition after building data repositories and data journal publishing platforms. The librarian can not only suggest researchers using those open access data resources, but also assistant them in identifying good data journals in order to protect their IP rights.

关 键 词：数据期刊 数据论文 数据出版 数据引用 版权协议 

分 类 号：G237.5[文化科学]