摘要
编辑能力是学术期刊质量的决定性元素之一,大数据时代对编辑能力提出了全新的要求。本文从信息挖掘能力、多样化的编辑内容及审校方式等方面系统分析了大数据时代学术期刊编辑能力提升所面临的机遇与挑战,并从选题策划方面应注重经验与实证的结合、稿件审校中注重人工审校与自动化审校的融合及营销中应从供应驱动的营销模式转向读者驱动的精准营销与信息营销等方面对大数据时代如何提升学术期刊编辑能力提出了切实可行的建议,对大数据时代学术期刊编辑能力提升和学术期刊的发展都极具现实意义。
Editing ability is one of the decisive elements of the quality of academic journals,and a new requirement for editing ability has been put forward in the big data era.This paper systematically analyzes the opportunities and challenges faced by the improvement of editing ability of academic journals in the era of big data from the aspects of information mining ability,diversified editing content and reviewing methods.This paper also puts forward practical suggestions on how to improve the editing ability of academic journals in the era of big data from the following aspects:experience and empirical evidence should be integrated in the topic selection planning,manual review and automatic review should be integrated in the manuscript review and marketing should shift from supply-driven marketing model to reader-driven precision marketing and information marketing.This paper is of great practical significance to the improvement of editing ability and the development of academic journals in the era of big data.
作者
王彬
WANG Bin(School of Chinese Language and Literature,Beijing Foreign Studies University,Beijing 100089;School of Foreign Languages,Huaibei Normal University Huaibei,Anhui 235000)
出处
《牡丹江大学学报》
2020年第3期34-38,共5页
Journal of Mudanjiang University
基金
2017年度安徽省哲学社会科学规划一般项目“基于文化传播力建构对策的华佗《五禽戏》语内编译中语形优化研究”(项目编号:AHSKY2017D88)。
关键词
大数据
学术期刊
编辑能力
big data
compiling
academic journals
editing ability
