[目的/意义] 大数据环境下,科学数据的管理越来越受到社会各界的重视。因此高校数据素养人才的培养日显重要,数据素养课程是对大学生进行数据素养培养的重要依据。[方法/过程] 采用问卷调查和SPSS 22软件中Pearson相关性分析,对与数据素养关系较为密切的信息素养课程与数据素养之间的关系进行分析,并从中析出数据素养课程集合,再运用聚类分析对数据素养课程进行模块化分类。[结果/结论] 研究结果表明信息素养相关课程可以作为数据素养的培养基础,在此基础上通过补充完善相应数据素养课程,并依据数据生命周期理论构建出包括数据意识及伦理、数据获取和数据处理、数据分析与利用课程模块的数据素养课程群。
[Purpose/significance] In the era of big data, the management of scientific data has received more and more attention from all walks of life. Therefore, the cultivation of data literacy talents in colleges and universities is becoming more and more important. The data literacy curriculum is an important basis for the data literacy training of college students.[Method/process] Using the questionnaire survey and Pearson correlation analysis method in SPSS.22 software, the article analyzed the relationship between information literacy curriculum which is closely related to data literacy and data literacy, and then refined the data literacy curriculum collection. Finally, clustering analysis was used to classify the data literacy curriculum.[Result/conclusion] The research results show that courses related to information literacy can be used as the basis for data literacy. On this basis, by supplementing and perfecting the corresponding data literacy courses, the article constructs the data literacy course group, including data awareness and ethics course module, data acquisition and data processing course module and data analysis and utilization course module.
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