情报科学 ›› 2022, Vol. 40 ›› Issue (7): 161-168.

• 业务研究 • 上一篇    下一篇

数据资源驱动的高校研究生群体智慧服务方案建设 

  

  • 出版日期:2022-07-01 发布日期:2022-08-05

  • Online:2022-07-01 Published:2022-08-05

摘要: 【目的/意义】随着数据资源的广泛应用,智慧服务逐渐在高校研究生教育和人才培养中扮演重要角色,利
用数据资源开展研究生群体智慧服务有助于提升研究生教育和服务水平。【方法
/过程】本文主要探讨了数据资源
下高校研究生的服务模式。首先,从文献检索的角度论述了数据资源的现状,探究了数据资源的运行机制,提出了
一种基于数据资源的高校研究生群体的智慧服务方案:建立图书馆数字学术空间和数字化平台,利用数据资源技
术提升研究生学术和育人服务。【结果
/结论】本文通过智慧服务方案建设,提出了目前研究生群体智慧服务方案的
不足和努力方向,提高服务水平刻不容缓。【创新
/局限】本文通过提出基于研究生学术素养培养服务工作的智慧服
务方案,为更加关注学术研究而非教学课程的研究生工作提供了发展方向,但是鉴于图书馆本身的学术功能,还需
要在研究生素质方面持续加强。

Abstract: Purpose/significanceWith the wide application of data resources, intelligent services gradually play an important role in graduate education and talent training in colleges and universities. Using data resources to develop graduate student swarm intelli⁃gence services is helpful to improve graduate education and service level.Method/processThis paper mainly discusses the service mode of university graduate students under data resources. First of all, from the Angle of literature retrieval, this paper discusses the data resources of the status quo, explore the mechanism of data resources, this paper proposes a college graduate groups based on the data resources of intelligence service plan: to build digital library academic space and digital platform, using an array of resources technology improve the graduate student academic and educational services.Result/conclusionThrough the construction of intelli⁃gent service scheme, this paper puts forward the shortcomings and the direction of efforts of the current intelligent group service
scheme for graduate students, and it is urgent to improve the service level.
Innovation/limitationThis paper proposes a smart service scheme based on graduate students' academic literacy training, which provides a development direction for graduate students who pay more attention to academic research rather than teaching courses. However, in view of the academic function of the library itself, it needs to continue to strengthen the quality of graduate students.