摘要
知识服务是科技期刊未来发展的主流趋势,为此采撷了科技期刊知识服务的不同类型,如学术支持和科研服务,学术社群,集群式、基于移动应用和运用先进技术的知识服务形式等;分析了多数科技期刊知识服务的问题和困境,包括内容资源的整合度不高,知识服务形态不够丰富多元,功能尚不完善等。提出了期刊知识服务的优化策略:以用户为核心,提升用户的体验;挖掘内容优势,丰富知识服务形态;联动多元主体,构建知识服务共同体等,助力建设科技期刊知识服务生态体系。
Knowledge service is the mainstream trend of the future development of sci-tech journals.Therefore,different types of knowledge services of sci-tech journals are selected,including academic support and scientific research services,academic communities,cluster-based,mobile-based and advanced technology-based knowledge services.The problems and dilemmas of knowledge service of sci-tech journals are analyzed,including the low degree of integration of content resources,the insufficient diversity of service forms and imperfect functions.After careful thinking,the optimization strategy of journal knowledge service is put forward:offering user-centered services to improve the user experience;mining advantages in content and enriching knowledge service forms and linking multiple subjects and building a knowledge service community.All these measures can help to build a knowledge service ecosystem with academic innovation for sci-tech journals.
作者
刘钊
Liu Zhao(Editorial Department of South-Central Minzu University,Wuhan 430074,Hubei)
出处
《武汉工程职业技术学院学报》
2023年第2期58-62,80,共6页
Journal of Wuhan Engineering Institute
基金
中国高校科技期刊研究会立项项目(项目编号CUJS-MZ-2021-001)。
关键词
科技期刊
知识服务
移动应用
学术支持
大数据
sci-tech journals
knowledge service
mobile applications
academic support
big data
