Journal of Agricultural Big Data >
Evaluation and Suggestion on Typical Literature Resource Discovery Systems in Big Data Environment
Received date: 2023-06-01
Accepted date: 2023-09-04
Online published: 2023-11-14
Five commonly used discovery systems, Primo, Summon, EDS, Baidu Scholar and Chaoxing Discovery, are taken as samples to sort out and summarize the functional characteristics of the discovery system, develop and test the evaluation index system of the literature resource discovery system and conduct specific evaluation. The study investigates and analyzes the influencing factors of users' access to information in the use of the discovery system, the system usability, and user loyalty. Moreover, combined with the development and influence of big data, the study proposed six development suggestions: strengthen the normative construction of metadata, improve the disclosure and access of literature information, optimize the relevance ranking, improve personalized services, promote accurate services using derivative data, strengthen top-level planning and establish a mechanism for coordination and cooperation.
LI XueYuan, ZHANG Jie . Evaluation and Suggestion on Typical Literature Resource Discovery Systems in Big Data Environment[J]. Journal of Agricultural Big Data, 2023 , 5(3) : 83 -92 . DOI: 10.19788/j.issn.2096-6369.230312
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