[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.
Big data analysis,
Construction of big data system,
Data resource integration,
Knowledge content information,
Digital copyright protection