Abstract:

[Purposes] This paper aims to feed the data generated during the process of collecting and editing of scientific journals into the decision-making process, make the journal publication and management become a closed-loop, which will help to promote the improvement of journal quality and influence. [Methods] Through in-depth analysis of the manuscript data and review data, we found some help and guidance to the journals. [Findings] The data analysis can give some instructions to optimize the distribution of scientific subjects, arrange the frequency of the publication and special issues, improve the efficiency of the peer review, and find the core authors and mining core institutions. [Conclusions] The method of data analysis of editorial system provides the quantitative data support for the decision-making, and the in-depth analysis and excavation of the relevant data helps to clarify the direction of journal running, and has a certain guiding significance to the journal operation.

Key words: Scientific journal, Data analysis, Editorial system, Data mining, Decision-making of journal operation

摘要：

【目的】将科技期刊采编过程中产生的数据反馈于办刊的决策过程中,使期刊出版和管理成为闭环,促进期刊质量和影响力的提高。【方法】通过深入分析采编系统中存在的收发稿件数据和评审数据,挖掘数据映射出的实际问题。【结果】对采编系统中数据的分析和深入挖掘,有助于进一步优化期刊的收稿方向,合理地统筹安排刊期与专刊组织频次,提高期刊同行评议的效率,通过挖掘核心作者与机构,可有目标、有针对性地做好期刊的宣传推广。【结论】采编系统的数据为办刊决策提供了量化的数据支撑,对相关数据的深入分析和挖掘,有助于明确期刊的办刊思路和方向,对办刊具有一定的指导意义。

关键词: 科技期刊, 数据分析, 采编系统, 数据挖掘, 办刊决策