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数据驱动的图书馆学情报学--2019年图书馆学情报学热点鸟瞰 被引量:10

Data-driven Library and Information Science:A General Survey of Hot Topics in Library and Information Science in 2019
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摘要 [目的/意义]文章试图揭示出2019年以数据驱动为学术热点的中国图书馆学情报学的年度学术发展特征,并分析反映这一特征的多种学术新主题、新方法和新形态。[方法/过程]分别从数据驱动、数据引导、数据计算、数据服务、数据素养五个方面进行了分析论述。[结果/结论]2019年的图书馆学情报学最显著、最重要并对整个图书馆学情报学产生重大推动力的无疑是"数据",主要表现在这一学术研究点的热度持续升高,研究更为聚焦、更为深化、更为拓展,影响力也更为扩大、更为跨界、更加国际化,呈现出许多新的学术亮点和学术研究新命题,对于面向未来的图书馆学情报学研究而言,具有重要的开新和启迪作用。 [Purpose/significance]This paper attempts to reveal the annual academic development characteristics of China’s library and information science with data-driven as the academic hot spot in 2019, and analyzes a variety of new academic themes, new methods and new forms reflecting this characteristic.[Method/process]It analyzes and discusses from five aspects: data drive, data guide, data calculation, data service and data literacy.[Result/conclusion]In 2019, "data" is the most significant, important and significant driving force for the whole library and information science, which is mainly reflected in the continuous increase in the popularity of this academic research site, more focused, deepened, expanded, more influential, more cross-border, more international research, and many new studies highlights and new academic research topics are of great significance to the future research of library and information science.
作者 王世伟 Wang Shiwei(Institute of Information,Shanghai Academy of Science,Shanghai,200235)
出处 《情报资料工作》 CSSCI 北大核心 2020年第1期39-44,共6页 Information and Documentation Services
关键词 数据驱动 图书馆学情报学 学术热点 数据素养 data driven library and information science academic hotspots data literacy
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