媒介技术视域下高校图书馆个性化数据服务策略探析

On the Personalized Data Service Strategy of University Library from the Perspective of Media Technology

自从人类开始利用媒介进行交流活动以来,对媒介的关注和思考从未停止过,而作为媒介发展中最活跃的因素之一,媒介技术正日益显示出其重要性。然而,目前的媒体研究多限于媒介领域,只有少数学者在高校图书馆的个性化数据服务中考虑了媒体技术本身。该文总结了当前高校图书馆数据阅读服务的特点,主要有起步较晚、发展较快等特点,着重指出了高校图书馆数据阅读服务中存在的问题,如部分高校图书馆专业人才匮乏,数据服务渠道狭窄,服务内容单一,读者、服务人员和读者之间的沟通渠道不足等,最后提出了提高高校图书馆数据阅读服务效果的建议,主要有以下几点:一是高校图书馆数据服务专业人才要做好服务工作,不断提高自身专业技能,二是要进一步引进相关的多元化人才,三是拓展线上线下数据读取服务渠道,四是要求相关高校图书馆数据服务人员全面了解读者情况,关注数据阅读服务的后续服务效果。

Human use of media for information exchange is as long as human history.Since human beings began to use media for communication activities,human beings have never stopped paying attention to and thinking about media.As one of the most active factors in the development of media,media technology is increasingly showing its importance.However,the current media research is limited to the field of media,and only a few scholars consider the media technology itself from the personalized data service of university library.This paper summarizes the characteristics of the current university library data reading service,which mainly has the characteristics of late start and rapid development.This paper emphatically points out the problems existing in the data reading service of university library,such as the lack of professionals in university library,narrow data service channels,single service content,and insufficient communication channels between readers,service personnel and readers.Finally,this paper puts forward some suggestions to improve the effect of data reading service of university library.The main points are as follows:the first is to do a good job in serving the data service professionals of University Libraries and constantly improve their professional skills;the second is to further introduce relevant diversified talents;the third is to expand the online and offline data reading service channels;the fourth is to require the data service personnel of relevant university libraries to fully understand the situation of readers and pay attention to the follow-up service effect before and after data reading service.