Abstract
Network digital libraries have exploded in recent years, with numerous and complicated evaluation indicators. The main body of evaluation is gradually showing the diversification characteristics of evaluation objects, and comprehensive evaluation standards. In order to better ensure the overall quality and construction level of network digital library resources, this research innovation incorporates multi-level extension optimization evaluation. Based on the network digital library, a multi-level extension optimization decision-making mechanism combining qualitative and quantitative is proposed. It has developed a new direction and provided new ideas for the resource quality and data evaluation of the future network digital library.
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