大数据时代高校学术期刊的挑战与变革

Challenges and Changes of University Academic Journals in Big Data Era

大数据时代,高校学术期刊面临着众多的问题和挑战。在现有的条件下,应首先运用大数据思维,对选题策划、组稿审稿、编辑加工、出版发行甚至管理模式等各个环节进行优化与整合,并实现全程化的数字出版。当然,一切条件具备时,自建准大数据平台也是一种选择。在内部资源优化与整合的同时,应加强外部的合作与融合,探索刊-刊融合、刊-网融合、刊-网-馆融合等多元化的融合方式。另外,同现有的大数据拥有者进行数据购买或实行数据外包服务来获取大数据,也是一条切实可行的路径。最后,从国家、学校及期刊编辑部三个层面给出了一些建议。

In big data era,university academic journals are faced with various problems and challenges.In order to realize the digital publishing in whole process under the existing conditions,this paper proposes employing big data thinking to optimize and integrateall aspects of edictinglike selecting and planning topics,soliciting and examing contributions,editing and processing manuscripts,publicating and distributing jounals,and applying management mode.It is also an option toestablisha quasi-big data platformif all conditions are right.At the same time of internal resources of optimization and integration,we should strengthen the external cooperation and integration to explore the diversified methods of journal-journal integration,journal-network integration,and journal-network-library integration.In addition,it is also practical and feasible to purchase data with existing big data owners or implement data outsourcing services to obtain big data.Finally,some suggestions are given from three levels of state,university and editorial department.