PulseAugur
实时 10:27:08
English(EN) Data-Driven Evolution of Library and Information Science Research Methods (1990-2022): A Perspective Based on Fine-grained Method Entities

LIS研究方法随数据资源和职业阶段演变 · 追踪4个来源

一项对1990年至2022年图书馆与信息科学(LIS)研究方法的分析研究表明,数据资源是方法论演进的主要驱动力。该研究确定了四类关键的数据驱动方法实体:算法与模型、数据资源、软件与工具以及指标。另一项对1990年至2023年LIS研究的调查发现,尽管理论方法有所下降,但实验方法和文献计量方法已崭露头角,并且方法的多样性在研究人员的不同职业阶段差异显著。 AI

影响 强调了数据驱动方法和AI模型在学术研究中日益增长的作用,影响了方法论趋势和研究人员的行为。

排序理由 该集群包含两篇在arXiv上发表的学术论文,详细介绍了特定学术领域内研究方法的实证研究。

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 4 个来源。 我们如何撰写摘要 →

LIS研究方法随数据资源和职业阶段演变 · 追踪4个来源

报道来源 [4]

  1. arXiv cs.CL TIER_1 English(EN) · Chengzhi Zhang, Yi Mao, Shuyu Peng ·

    Data-Driven Evolution of Library and Information Science Research Methods (1990-2022): A Perspective Based on Fine-grained Method Entities

    arXiv:2606.25320v1 Announce Type: cross Abstract: Since the 1990s, advancements in big data and information technology have increasingly driven data-centric research in the field of Library and Information Science (LIS). To assess the influence of this data-driven research paradi…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Shuyu Peng ·

    Data-Driven Evolution of Library and Information Science Research Methods (1990-2022): A Perspective Based on Fine-grained Method Entities

    Since the 1990s, advancements in big data and information technology have increasingly driven data-centric research in the field of Library and Information Science (LIS). To assess the influence of this data-driven research paradigm on the LIS discipline, this study conducts a fi…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    Data-Driven Evolution of Library and Information Science Research Methods (1990-2022): A Perspective Based on Fine-grained Method Entities

    Since the 1990s, advancements in big data and information technology have increasingly driven data-centric research in the field of Library and Information Science (LIS). To assess the influence of this data-driven research paradigm on the LIS discipline, this study conducts a fi…

  4. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Yi Mao ·

    图书馆与信息科学领域不同学术年龄段的研究方法使用情况:一项实证研究(1990-2023)

    Academic age critically shapes career development, influencing research behavior, output volume, and methodological choices. Analyzing method variation across academic ages offers a new theoretical lens on scholarly evolution and provides early-career researchers with practical g…