Page 140 - Journal of Library Science in China 2020 Vol.46
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                           Extended English abstracts of articles published in the Chinese edition of Journal of Library Science in China, Vol.46, 2020  139


               and digital resources through the central knowledge base, and integrates various metadata formats
               and discovery systems. In addition, it integrates many open and fused services, dynamically
               monitors users’ big data, and provides real-time data analysis and resource recommendation.
                 However, these problems are not the whole concern of the library. The supporting business
               process system has not yet been established. In the case of many and miscellaneous data, the
               library also needs to explore a new data management mode. This paper is to discuss these two
               problems.
                 Benefited from the development of the new platform, the collection and editing business of the
               library can be fully networked, which saves a lot of time, greatly improves the efficiency of the
               second duplicate check, and the acquisition platform also becomes the intermediary for the library
               to contact publishers and booksellers. The data management mode has changed from “just in case”
               to “just in time”. The service mode is more active and intelligent, and new service forms, such as
               robot service, intelligent recommendation and indoor navigation, have emerged. The staff of the
               library should also be reconfigured according to the needs of the business, the department-centered
               working mode is gradually changing to the process-centered working mode.
                 In the new era, many libraries have set up big data management institutions, or set up sensors in
               the library space, in order to get the data of users. These data are disordered without processing, so
               the library should strengthen the data management, analysis and monitoring from the perspective
               of technology. For instance, libraries can build user profiles through big data analysis and mine
               deep-seated high-value information to provide embedded services. Open data is used to connect
               the upper, middle and lower reaches of the library ecological chain, so as to make the academic
               service system complete and unified.
                 To achieve business optimization and data management is not easy. We need more professional
               librarians and stronger alliance support. The new generation of librarians are smart librarians. Their
               core business ability is no longer borrowing and consulting in the past, but how to use intelligent
               technology to develop knowledge services and humanistic care for users that machines still can not
               achieve.
                 The digital library alliance is changing to the intelligent library alliance. The trend of
               decentralization is obvious, and the connotation of the alliance is richer. This is a good news for
               the small and medium-sized alliance. Members of the alliance will use a sharing platform in the
               cloud environment, and the power of resources and services will be more balanced. Of course, all
               of these can only be realized under the support of intelligent technology.
                 In general, on the basis of the new generation library service platform, the acquisition,
               cataloguing, data management, service and other businesses of the library must be optimized
               accordingly, and data management is the top priority. Only by doing these things well can libraries
               be truly user-centered and smart. In order to realize smart library, librarians and library alliance
               should make efforts to ensure the sustainable development of library.
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