分析31年2.6万篇文献，发现情报学研究从理论转向实证，用户中心议题崛起。
Usage frequency and application variety of research methods in library and information science: Continuous investigation from 1991 to 2021
- 用机器学习对2.6万篇论文的方法分类，识别出16种常用研究方法。
- 研究主题从系统导向转为用户导向，实证研究占比显著上升。
- 可视化动态关系图揭示方法与主题随时间的演变，适合研究者参考趋势。
本研究分析了1991至2021年间发表于21种主要图书馆与信息科学（LIS）期刊的超过26,000篇研究论文，采用机器学习（ML）方法对所用研究方法进行分类。研究发现：第一，过去31年中，LIS研究策略从概念性研究（如“理论方法”）转向实证研究（如“访谈”）；第二，研究主题由系统中心问题（如“信息检索/模型与算法”）转向用户中心议题（如“信息服务”）；第三，研究揭示了18个研究主题与16种常用研究方法之间的动态关联，这些关系可通过本研究创建的交互式时间地图进行纵向可视化。
原文摘要 · Abstract (English)
The present study analyzed over 26,000 research articles published between 1991 and 2021 in twenty-one major LIS (Library and Information Science) journals, using the machine learning (ML) approach to categorize the research methods used by LIS scholars. The findings of this study are significant. Firstly, there has been a shift in the research strategy from conceptual research (e.g., "Theoretical approach") to empirical research (e.g., "Interview") in LIS investigations over the past 31 years. Secondly, the research topics explored by LIS scholars during this period have moved from system-centered issues (e.g., "Information retrieval/models and algorithms") to user-centered topics (e.g., "Information services "). Thirdly, the study revealed dynamic and revealing relationships between the 18 research topics identified in the study and the 16 research methods commonly adopted in the LIS field. These dynamic relationships can be visualized by year and longitudinally via an interactive map created in this study.
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