大数据环境下典型文献资源发现系统评测与建议
收稿日期: 2023-06-01
录用日期: 2023-09-04
网络出版日期: 2023-11-14
基金资助
国家新闻出版署农业融合出版知识挖掘与知识服务重点实验室开放基金项目“资源发现系统比较分析与评价”(2021KMKS04)
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
李雪原, 张洁 . 大数据环境下典型文献资源发现系统评测与建议[J]. 农业大数据学报, 2023 , 5(3) : 83 -92 . DOI: 10.19788/j.issn.2096-6369.230312
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.
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