后疫情时期“云馆配”模式的多维比较与优化研究  

Multi Dimensional Comparison and Optimization of"Cloud Library Allocation"Mode in Post Epidemic Period

作　　者：赵慧真[1] Zhao Huizhen

机构地区：[1]泉州师范学院图书馆,福建泉州362000

出　　处：《图书馆工作与研究》2020年第12期77-84,104,共9页Library Work and Study

摘　　要：从资源发现、采选功能、后台管理3个方面对五大"云馆配"平台进行比较分析。指出"云馆配"虽具有现采会所不具备的优势,但也存在诸多问题。提出对现有图书采访云平台的优化策略,即统一平台,完备功能;平台无缝对接,数据交互通畅;完善书目信息,助力精准采选;强化书目筛选功能,提高采选效率;提高智能程度,优化精准推送服务;提升读者参与度,满足个性化需求。Starting from three aspects of resource discovery,acquisition and selection function and background management,this paper makes a comparative analysis of the five"cloud library allocation"platforms.It is pointed out that although the"cloud library allocation"has the advantages that the current mining clubs do not have,there are still many problems.This paper puts forward the optimization strategies of the existing book acquisition cloud platform,that is,unified platform and complete functions;platform seamless docking and data interaction smooth;improve bibliographic information to help accurate selection;strengthen the bibliographic screening function to improve the efficiency of collection and selection;improve the degree of intelligence to optimize precision push service;enhance the reader participation to meet the personalized needs.

关 键 词：后疫情时期 云馆配 现采会 图书采访云平台 

分 类 号：G253.1[文化科学—图书馆学]