A study analyzing Library and Information Science (LIS) research methods from 1990 to 2022 reveals that data resources have been a primary driver of methodological evolution. The research identified four key categories of data-driven method entities: algorithms and models, data resources, software and tools, and metrics. Another study examining LIS research from 1990 to 2023 found that while theoretical approaches have declined, experimental and bibliometric methods have gained prominence, with method diversity varying significantly across different career stages of researchers. AI
IMPACT Highlights the increasing role of data-driven methods and AI models in academic research, influencing methodological trends and researcher behavior.
RANK_REASON The cluster consists of two academic papers published on arXiv, detailing empirical studies on research methods within a specific academic field.
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