A cross-institutional analysis of data-related curricula in information science programmes: A focused look at the iSchools
A cross-institutional analysis of data-related curricula in information science programmes: A focused look at the iSchools
复制标题
对信息科学项目中数据相关课程的跨机构分析：重点关注 iSchools
DOI：
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发表时间：
2018
影响因子：
2.4
通讯作者：
Javier Calzada
中科院分区：
文献类型：
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作者：
Virginia Ortiz;J. Greenberg;Javier Calzada
我们快速发展的数据驱动文化正在推动几乎所有学科的课程改革，其中最重要的是信息科学。本文探讨了这种变化，特别是在iSchool社区，其中信息科学是一个主要的统一学科。对65所iSchools的数据相关课程进行了跨机构分析。调查结果显示，大多数iSchools（65所中的37所，56.9%）目前提供某种形式的数据相关教育，特别是在硕士阶段，大约15%的正式学位课程以数据为重点。总的来说，iSchools更加强调数据科学和大数据分析，只有少数课程提供数字策展领域的重点课程。建议iSchools利用信息科学的跨学科性质，发布课程并跟踪毕业生的成功，以便iSchools可以在数据领域教育信息专业人员方面表现出色。iSchools中未来的数据教育可能会受益于进一步的跨学科数据教育，包括数据策展课程。
Our rapidly growing, data-driven culture is motivating curriculum change in nearly every discipline, not the least of which is information science. This article explores this change specifically within the iSchool community, in which information science is a major unifying discipline. A cross-institutional analysis of data-related curricula was conducted across 65 iSchools. Results show that a majority of iSchools examined (37 out of 65, 56.9%) currently offer some form of data-related education, particularly at the master’s level, and that approximately 15% of their formal degree offerings have a data focus. Overall, iSchools have a greater emphasis on data science and big data analytics, with only a few programmes providing focused curricula in the area of digital curation. Recommendations are made for iSchools to leverage the interdisciplinary nature of information science, publish curricula and track graduate success so that iSchools may excel in educating information professionals in the data area. Future data education in iSchools may benefit from further interdisciplinary data education, including data curation curricula.