摘要：

【目的】提出大数据时代我国科技期刊发展的方向,为提升科技期刊竞争力提供有益借鉴。【方法】采用文献分析法系统分析我国科技期刊在大数据应用方面存在的问题,并结合抽象演绎法提出构建科技期刊大数据体系的方法。【结果】对科技期刊出版业来说,大数据不仅改变了出版流程,使其得到完全重构,也改变了传统的出版模式,使科技期刊在原始积累的基础上不断创新,催生出全新的发展道路。【结论】建议科技期刊从资源整合优化、完善知识内容标引、提供个性化精准服务、加强融媒体出版和加强版权及数据安全5个方面与大数据应用相结合,提升自身竞争力。

关键词: 大数据分析, 大数据体系构建, 数据资源整合, 知识内容信息, 数字版权保护

Abstract:

[Purposes] This paper aims to propose the development direction of China's scientific journals in the era of big data, and provide useful references for enhancing the competitiveness of scientific journals. [Methods] We used the literature analysis method to analyze the problems existing in the application of big data for China's scientific journals, and proposed a method to construct the big data system of scientific journals combining the abstract deduction method. [Findings] For the publishing industry of scientific journals, big data has not only changed the publishing process and completely restructured the publishing process, but also changed the traditional publishing model, enabling scientific journals to continue to innovate on the basis of original accumulation and catalyze new development paths. [Conclusions] It is recommended that scientific journals integrate with big data applications from five aspects, integrating and optimizing resources, improving knowledge content indexing, providing personalized and precise services, strengthening integrated media publishing, and strengthening copyright and data security, to enhance their competitiveness.

Key words: Big data analysis, Construction of big data system, Data resource integration, Knowledge content information, Digital copyright protection