Abstract:

The vigorous development of scientific data center makes its performance evaluation gradually become a research hotspot. By systematically combing the relevant achievements of scientific data center evaluation in China in the past 10 years, this paper provides theoretical basis and reference for further research on the evaluation model of scientific data center in China. Based on the bibliometric method and the scientific knowledge graph method, a keyword co-occurrence analysis was conducted on the literatures related to CNKI's scientific data center evaluation research during 2013-2023. The findings are as follows: In terms of research evolution, 2015-2019 was the peak period, and the number of literatures showed explosive growth. From the perspective of research hotspot, it can be summarized as evaluation object, evaluation field, evaluation index system and performance evaluation model. After in-depth analysis of various topics, it is found that scientific data evaluation has accumulated research achievements to a certain extent. However, for China's scientific data center system, the existing evaluation system has certain deficiencies in comparability and universality, which has hindered the coordinated and unified development of scientific data centers.

Key words: scientific data centers, evaluation model, map of scientific knowledge, co-occurrence