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Title:Interoperable data science at iSchools—How do iSchools expand their horizons?
Author(s):Kang, Ji Hei; Moon Eunhye
Subject(s):iSchool curriculum
Data science
Curriculum coverage
Translational science
Library and information science education
Abstract:While industry demand is increasing for data science, the interdisciplinary studies are getting important. In contrast to the surging expectations that LIS curriculums embrace more knowledge of domains, there have been too few studies focused on this approach. This study, therefore, aims to identify how iSchools can expand their scholarly horizons and differentiate themselves in Tier 1, 2, and 3 schools’ curriculums. The findings identify that the words health, management, social, GIS, and business were used frequently in data science curriculums at iSchools. Through a text-mining process, 11 related areas are emerged including health and management. This study also demonstrates that Tier 1, 2, 3 schools have different strategies to provide across disciplinary courses. The findings are expected to serve as practical solutions for LIS schools to data science needs.
Issue Date:2017
Citation Info:Kang, J. H., & Moon, E. (2017). Interoperable Data Science at iSchools—How Do iSchools Expand Their Horizons? In iConference 2017 Proceedings (pp. 843-847).
Series/Report:iConference 2017 Proceedings
Genre:Conference Poster
Rights Information:Copyright 2017 Ji Hei Kang and Eunhye Moon
Date Available in IDEALS:2017-07-27

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