摘要
学科服务数据处理与分析是学科服务的重要工作内容,优化学科服务工作的关键在于优化学科服务数据的处理与分析流程。文章构建学科服务数据处理与分析框架,基于Python语言提出实现数据自动处理和分析的技术方案,并以浙江工商大学为例评估框架应用和技术方案实施的有效性。实证结果表明,基于该框架设计的计算机程序自动处理、分析学科服务数据的时间显著缩短,处理结果的准确性、规范性得到提升,应用效果较好。
The processing and analysis of subject service data is an important part of subject service work,and the key to optimizing subject service work lies in optimizing the processing and analysis process of subject service data.This paper constructs a data processing and analysis framework for discipline services,proposes a technical scheme to realize automatic data processing and analysis based on Python,and takes Zhejiang Gongshang University as an example to evaluate the effectiveness of the application of the framework and technology implementation.The empirical results show that the processing time of the computer program designed based on this framework for automatic processing and analysis of discipline service data is significantly shortened,the accuracy and standardization of the processing results are improved,and the application effect is good.
作者
林叶
王丽艳
王月苗
Lin Ye;Wang Liyan;Wang Yuemiao
出处
《图书馆工作与研究》
CSSCI
北大核心
2023年第7期69-76,共8页
Library Work and Study
基金
浙江工商大学学科建设管理重点项目“基于Python的我校学科数据分析系统的构建研究”(项目编号:XKJS2021005)研究成果之一。
关键词
学科服务
学科分析
学科建设
数据分析
高校图书馆
Subject service
Subject analysis
Subject construction
Data analysis
University library
