学术大数据环境下的数据与服务

Data and Services in Academic Big Data Environment

笔者在梳理学术资源种类、分析学术大数据特征的基础上,通过分析学术数据在学科评价和学者服务中的应用现状,发现当下图书馆在数据服务中,存在用户流失严重、服务方式落后和内容出现瓶颈等问题。在学术大数据环境下,应从数据服务本质出发,不断完善元数据标准,建设并积累学术资源池,架构图书馆大数据服务模式,助力图书馆创造真正属于自己的智慧服务。

On the basis of sorting out the types of academic resources and analyzing the characteristics of academic big data,the author analyzes the application status of academic data in subject evaluation and scholar service,and finds that there are serious problems in data service,such as serious loss of users,backward service mode and bottleneck of content.In the academic big data environment,we should start from the essence of data service,constantly improve the metadata standard,build and accumulate academic resource pool,structure the library big data service mode,and help the library create its own intelligent service.