Page 46 - Journal of Library Science in China 2020 Vol.46

SHAO Bo, SHAN Zhen & WANG Yi / Construction of smart libraries with new generation service platforms: 045
Business reengineering and data management

services through the central-branch library system, hoping to integrate public data and government
open data; academic libraries and professional libraries hope to further promote the transformation
and upgrading of various digital library alliances with the deployment of new generation of service
platforms. Driven by these demands, a new multi-level and cross-regional library service system
needs to be built to better realize the co-construction and sharing of print, electronic and digital
resources.
(3) Restructuring the academic services of the library
The application of cloud computing, big data and other new technologies in libraries will
bring about changes to the service mode of the library and updating of the entire academic
ecology. The data service of university libraries will become more and more important. It is a
key service direction of libraries in the next few years to support the construction of “double
first-class” universities through data services. The targets of data services include departments,
teachers and students, and even alumni. Currently, universities are beginning to establish their
own data management platforms, in order to provide full-process data management services, first
to meet the data management needs of scientific researchers on campus, then to meet the needs
of scientific research funding institutions off campus. The data service of university libraries
focuses on teaching and scientific research. The data and thematic collaboration functions of the
data management platform provide strong support to scientific research activities, and its data
analysis and modeling functions can facilitate teaching activities. Besides, the services of the
data management platform can also be extended to the president, department heads and other
administrative personnel to jointly build a teaching and research team with excellent data literacy.
In addition to the new demand for data within the university, the library can also work more
closely with publishers, booksellers and resource providers to achieve business docking and joint
development and sharing of data, connect the upstream (publishers, resource providers), midstream
(booksellers, third-party service providers) and end users (researchers, teachers), and constantly
improve the academic service system.
(4) Strengthening data management of the library
Data management of the library has two aspects. On the one hand, it is big data management
based on resources in the library; and on the other hand, it is big data management based on the
integration of resources outside the library. In the actual operating environment, the two aspects
correspond respectively to a large number of new data in the library (print documents, electronic
resources, digital resources), and the integration and sharing of established external data. Under
such a trend, the traditional semi-open single-resource system of the library is far from being able
to meet the needs of users. The new generation service platform should be integrated with the
social knowledge network and public information platform, so as to ensure that the new generation
service platform meets the needs of the entire business flow and data flow of the library, while at
the same time allowing the establishment of outwardly integrated knowledge networks and open
public information. The collection and analysis of data from the above two sources can maximize