Page 227 - Journal of Library Science in China, Vol.47, 2021

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226 Journal of Library Science in China, Vol.13, 2021

ways of annual reports.

Smart public culture service from the perspective of data, technology and
application
HUA Bolin 〇a*

As a data intensive industry, public culture focuses on the introduction of new technologies,
analysis of users’ needs and innovation of service mode. After years of accumulation and
precipitation of resource digitization, management informatization and service networking, with
the support and promotion of new information technologies such as big data, cloud computing
and deep learning, combined with local characteristics, public culture service has continuously
launched new applications. These conditions make it possible for public cultural services to be
smart.
There are many elements involved in the intellectualization of public culture. This paper focuses
on the formation and development of smart public culture service from data, technology and
applications. Among these elements, data is the foundation, technology the key, and the effect
depends on the applications.
Public culture big data include internal data and external data. The internal data include library
information data, resource data, user data, usage data, etc. External data include upstream and
downstream data, local government exchange and sharing data, cross domain cooperation data,
Internet public data and map data.
Through the ubiquitous network technology, multi-source heterogeneous data fusion technology,
text mining technology, multidimensional visualization technology, the collection, storage,
analysis, mining and visualization of internal and external data such as resource data and user data
of public cultural institutions are carried out to realize the comprehensive connection of resource
elements, multi-channel connection between institutions, flexible management of venue equipment,
personalized and accurate service, and management and decision making based on data.

Discussion on the quality evaluation index system framework of academic
libraries

YE Jiyuan, GUO Weibing , ZHENG Dejun, YUAN Xilin, OU Shiyan & CHENG Ying
〇b **
There has not been a large-scale and formal evaluation of the quality of library work of academic
libraries in China. The purpose of this paper is to construct a quality evaluation index system

* Correspondence should be addressed to HUA Bolin, Email:huabolin@pku.edu.cn, ORCID:0000-0001-9248-6455.
** Correspondence should be addressed to GUO Weibing, Email:guowb@njust.edu.cn, ORCID:0000-0003-4496-826X.