Purpose

The purpose of this paper is to determine the digital library usage patterns as a means of improving the system, as well as the user experience, to give appropriate recognition to the most popular dissertations’ authors and to measure the interest of non-academic users for dissertations defended at the University of Novi Sad (UNS).

Design/methodology/approach

A logging module of the digital library of theses and dissertations of University of Novi Sad (PHD UNS) application has been implemented. The module recorded the messages relating to the search queries and downloads over a three-year period from 2017–2019. These logs are analysed using the Elasticsearch, Logstash and Kibana (ELK) technology stack and the results are shown using graphs and tables.

Findings

The analysis determined the perfect time for weekly maintenance of the system, defined a recommendation for improving the system and revealed the most popular dissertations. A significant number of downloads and queries originated from citizens, i.e. users outside the academic community.

Practical implications

The conducted analysis defined recommendations for the system improvement which can be used by PHD UNS research and development (R&D) team and revealed the most popular dissertations which are used for the promotion of its authors through faculties’ websites.

Originality/value

To the best of the authors’ knowledge, this is the first study of ELK based log analysis of a Serbian language documents’ repository. Besides, the value of results for the PHD UNS R&D team and UNS rector team, the study proves that PhD digital library presents an important Open Science communication channel for presenting scientific results to the citizens.

中文翻译：

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诺维萨德大学捍卫的博士学位论文数字图书馆的使用分析

目的

本文的目的是确定数字图书馆的使用模式，以此作为改进系统和用户体验的一种手段，以适当地认可最受欢迎论文的作者，并衡量非学术用户对数字图书馆的兴趣。论文在诺维萨德大学（UNS）辩护。

设计/方法/方法

诺维萨德大学论文和学位论文数字图书馆的录入模块（PHD UNS）已经实现。该模块记录了从2017年至2019年的三年期间与搜索查询和下载有关的消息。使用Elasticsearch，Logstash和Kibana（ELK）技术堆栈分析这些日志，并使用图形和表格显示结果。

发现

分析确定了每周进行系统维护的最佳时间，确定了改进系统的建议，并揭示了最受欢迎的论文。大量下载和查询源自公民，即学术界以外的用户。

实际影响

进行的分析为PHD UNS研发（R＆D）团队可以使用的系统改进提出了建议，并揭示了最受欢迎的论文，这些论文可以通过学院的网站来推广其作者。

创意/价值

据作者所知，这是对基于ELK的塞尔维亚语言文档存储库日志分析的首次研究。此外，研究结果对于PHD UNS研发团队和UNS主管团队的价值，该研究证明，博士数字图书馆提供了一个重要的开放科学交流渠道，可向市民展示科学成果。