基于大数据的高校图书馆文献资源建设研究

传统数据统计可以发现用户数据和文献数据的关联性,通过数据分析为资源采购提供依据;大数据环境下,用户数据更容易收集,通过深度挖掘可以助力高校图书馆的资源建设;文章设想了基于大数据的高校图书馆资源分析采访系统,通过该系统可以实现用户信息的及时收集、用户需求的有效监控。大数据时代,数据决策模式将代替传统的经验总结模式和学科馆员决策模式,成为高校图书馆资源建设的主流模式。

Research on the Literature Resources Construction of University Library Based on Big Data

Traditional data statistics can find the relevance between user data and document data. It provides the basis for resource procurement through data analysis.In the big data environment, user data is easier to collect. Through deep excavation, it can help the resources construction of university library. This paper envisages the resource analysis and interview system of university library based on big data. Through this system, we can achieve timely collection of user information and effective monitoring of users' needs.In the era of big data, data decision mode will replace traditional experience summary mode and subject librarian decision mode.It will become the mainstream mode of resources construction in university libraries.