Service Innovation of University Library in the Big Data Era
<p>Jun Liu</p>
Abstract
Open-access reader
<p>Jun Liu</p>
Abstract
Open-access reader
In the era of big data, the extensive application of data resources provides strong support for the reform and innovation of university library reader services, and provides new development ideas for the innovative development of reader services. This paper studies the challenges faced by the reader service of university libraries in the era of big data, and puts forward suggestions to improve the reader service level of university libraries. However, how to find effective information in complex information requires not only the uniqueness of university library services on the basis of maintaining common services, but also the need to strengthen the research on improving library service innovation models and methods. The university library in the big data environment, through the construction of a library service sharing platform and a cloud service model, proposes a library service innovation strategy in the big data era, improves the efficiency of the integration of book resources in the form of a regional alliance, and realizes the library Large-scale management and reservation of resources to realize the innovation of service content. Based on the service practice of university libraries, this paper analyzes the common problems in service innovation of university libraries, and proposes big data under the strategic background of optimizing service innovation of university libraries, and provides references for service innovation of university libraries. Practical results show that the innovative services of libraries need to use scientific methods and attitudes, treat big data and innovative services of university libraries from a development perspective, and be good at using big data for innovative services of university libraries.
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In the era of big data, the extensive application of data resources provides strong support for the reform and innovation of university library reader services, and provides new development ideas for the innovative development of reader services. This paper studies the challenges faced by the reader service of university libraries in the era of big data, and puts forward suggestions to improve the reader service level of university libraries. However, how to find effective information in complex information requires not only the uniqueness of university library services on the basis of maintaining common services, but also the need to strengthen the research on improving library service innovation models and methods. The university library in the big data environment, through the construction of a library service sharing platform and a cloud service model, proposes a library service innovation strategy in the big data era, improves the efficiency of the integration of book resources in the form of a regional alliance, and realizes the library Large-scale management and reservation of resources to realize the innovation of service content. Based on the service practice of university libraries, this paper analyzes the common problems in service innovation of university libraries, and proposes big data under the strategic background of optimizing service innovation of university libraries, and provides references for service innovation of university libraries. Practical results show that the innovative services of libraries need to use scientific methods and attitudes, treat big data and innovative services of university libraries from a development perspective, and be good at using big data for innovative services of university libraries.
Key concepts: Service innovation, Service (business), Service science, management and engineering, Big data, Computer science, Reservation, Alliance, Knowledge management