Research on the Construction of Data Value-Added Service System in University Libraries:A Case Study of Peking University Library
In the epoch of big data and artificial intelligence,the question of how university libraries can leverage emerging technologies to provide data value-added services becomes a significant area of study.This paper initially delineates the essence of data value-added services in university libraries.It subsequently synthesizes and categorizes pertinent research and practices both domestically and internationally.On this basis,a framework for the data value-added service system in university libraries is proposed.This framework embodies a"4+3456"structure for data value-added services,encompassing 4 principal architectural layers,3 types of service methodologies,4 categories of service users,5 varieties of data service products and 6 thematic data classifications.An illustrative case on Peking University Library's experiential practices in providing data value-added services is also presented.This study can serve as reference for both research and practical endeavors in university libraries'data value-added service initiatives.
University libraryData resourcesArtificial intelligenceData value-added servicePeking University Library
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