【目的】 大数据时代,学术期刊的发展问题更为复杂,为全面透视并准确把握大数据时代学术期刊的发展,选择4位学术期刊主编进行半结构化深度访谈。【方法】 理论分析和实证分析相结合,与4位主编进行半结构化访谈。【结果】 4位主编认为,大数据时代学术期刊在选题策划、组稿约稿、编辑校对、发行推送等环节都受到了一定影响,虽然可应对的手段和方法不一,但是在发展重点上,学术期刊都需要正确看待大数据、牢牢坚守内容为王,系统拓展学术期刊的品牌价值,解析与重构学术生产机制并激励编辑群体的多元化转型。【结论】 大数据时代,唯有坚守社会效益、打造学术品牌、加强各类数字化工具并提升编辑人才的培养成效,才能最终实现学术期刊的高质量发展。
[Purposes] In the era of big data, the development of academic journals is more complex. In order to systematically study the development of academic journals, this paper uses the semi-structured in-depth interviews with four academic journal editors-in-chief. [Methods] This paper adopted the combination of theoretical analysis and empirical analysis to conduct the semi-structured interviews with four editors-in-chief. [Findings] The four editors-in-chief agree that in the era of big data, academic journals have been affected to a certain extent in many links such as topic selection and planning, contribution soliciting, editing and proofreading, and distribution and push. Although the methods that can be dealt with are different, academic journals should treat the big data correctly, firmly adhere to content as the king, systematically expand the brand value of academic journals, analyze and reconstruct the academic production mechanism, and encourage the diversified transformation of editors. [Conclusions] In the era of big data, only by adhering to social benefits, building academic brands, strengthening various digital tools, and improving the cultivation efficiencies of editing talents, can academic journals realize the high-quality development.
Academic production mechanism,
高虹. 大数据时代学术期刊高质量发展问题透视——与四位主编的深度访谈[J]. 中国科技期刊研究, 2020, 31(12): 1395-1401.
GAO Hong. Perspectives on the high-quality development of academic journals in the era of big data: Based on in-depth interviews with four editors-in-chief[J]. Chinese Journal of Scientific and Technical Periodicals, 2020, 31(12): 1395-1401.