Interoperable data science at iSchools—How do iSchools expand their horizons?

Kang, Ji Hei; Moon Eunhye

Permalink

https://hdl.handle.net/2142/96734 Copy

Description

Title

Interoperable data science at iSchools—How do iSchools expand their horizons?

Author(s)

• Kang, Ji Hei
• Moon Eunhye

Issue Date

2017

Keyword(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.

Publisher

iSchools

Series/Report Name or Number

iConference 2017 Proceedings

Type of Resource

text

Language

en

Permalink

http://hdl.handle.net/2142/96734

Copyright and License Information

Copyright 2017 Ji Hei Kang and Eunhye Moon

Owning Collections