一流大学图书馆学科服务国内外研究进展  

Research progress on subject service of first-class university library

在线阅读下载全文

作  者:谭焱 TAN Yan(School of Public Administration,Xiangtan University,Xiangtan 411105,China)

机构地区:[1]湘潭大学公共管理学院,湖南湘潭411105

出  处:《江苏科技信息》2024年第17期105-110,共6页Jiangsu Science and Technology Information

基  金:2023年湘潭大学专业学位研究生案例库建设项目,项目名称:2023年湘潭大学“图书情报专业学位硕士《参考咨询与学科服务》课程教学案例库”,项目编号:2023。

摘  要:我国第二轮“双一流”建设坚持以学科为基础,注重高质量建设。一流大学图书馆学科服务意义重大。文章通过梳理国内外关于一流大学图书馆学科服务的文献,认为研究主题主要包括一流大学图书馆学科馆员研究、一流大学图书馆学科服务内容研究以及一流大学图书馆学科服务平台研究。学者们开展的研究方法与主题较为丰富,但研究还存在如下有待进一步拓展的方法与问题:较少涉及利用大数据理念和技术推进高校图书馆助力一流大学建设的内容;较少采用数据挖掘、构建大数据平台、实证分析法来研究一流大学图书馆学科服务;现有的研究多以传统的线下方式研究一流大学图书馆学科服务,线上的种种服务方式缺少整合起来研究的成果。The second round of“double first-class”construction in our country adheres to the discipline as the foundation and focuses on high-quality construction.The subject services provided by first-class university libraries are of great significance.The article summarizes the literature on subject services of first-class university libraries at home and abroad,and believes that the research topics mainly include the study of subject librarians in first-class university libraries,the study of subject service content in first-class university libraries,and the study of subject service platforms in first-class university libraries.The research methods and themes carried out by scholars are relatively rich,but there are still some methods and problems that need to be further expanded,such as the limited use of Big data concepts and technologies to promote the construction of first-class universities in university libraries;less use of data mining,building Big data platforms,and empirical analysis methods to study the subject services of first-class university libraries;existing research mostly focuses on the subject services of first-class university libraries through traditional offline methods,and there is a lack of integrated research results on various online service methods.

关 键 词:学科服务 一流大学图书馆 研究进展 

分 类 号:G250[文化科学—图书馆学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象