[Purpose/Significance] With the changes in electronic resources utilization, a new model for the resources management of scientific and technical literature is established to provide a useful reference for libraries to achieve the high quality of resources management. [Method/Process] This paper analyzed the deficiency in the model, thoughts, and methods of traditional electronic resources management, then established a new model for the resources management of scientific and technical literature empowered by intelligent data, and applied the new one to the electronic resources management of the Consortium of Chinese Academy of Sciences. [Result/Conclusion] Based on the results, the new model benefits resources subscribers in negotiations, has high applicability and elasticity, and improve the quality of resources management.
Luo Qishan
,
Zhang Cen
,
Li Xin
,
Qian Li
. Study on the New Model of Resources Management of Scientific and Technical Literature Empowered by Intelligent Data[J]. Library and Information Service, 2025
, 69(10)
: 33
-41
.
DOI: 10.13266/j.issn.0252-3116.2025.10.004
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