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https://eprints.whiterose.ac.uk/188812/7/Asso%20for%20Info%20Science%20%20%20Tech%20-%202022%20-%20Zhang%20-%20Data%20science%20curriculum%20in%20the%20iField.pdf
Accepted (AM)CC BY-NC-ND V4.0, Open
Journal article
Data science curriculum in the iField
30 Jul 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Many disciplines, including the broad Field of Information (iField), offer Data Science (DS) programs. There have been significant efforts exploring an individual discipline's identity and unique contributions to the broader DS education landscape. To advance DS education in the iField, the iSchool Data Science Curriculum Committee (iDSCC) was formed and charged with building and recommending a DS education framework for iSchools. This paper reports on the research process and findings of a series of studies to address important questions: What is the iField identity in the multidisciplinary DS education landscape? What is the status of DS education in iField schools? What knowledge and skills should be included in the core curriculum for iField DS education? What are the jobs available for DS graduates from the iField? What are the differences between graduate-level and undergraduate-level DS education? Answers to these questions will not only distinguish an iField approach to DS education but also define critical components of DS curriculum. The results will inform individual DS programs in the iField to develop curriculum to support undergraduate and graduate DS education in their local context.
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Details
- Title
- Data science curriculum in the iField
- Creators
- Y Zhang - Kent State UniversityD Wu - Wuhan UniversityL Hagen - University of South FloridaI.-Y Song - Drexel UniversityJ MostavaS Oh - Sungkyunkwan UniversityT Anderson - Connecting Stones Consulting Sydney AustraliaC Shah - University of WashingtonB.W Bishop - University of Tennessee at KnoxvilleF Hopfgartner - University of SheffieldK Eckert - Stuttgart Media UniversityL Federer - United States National Library of MedicineJ.S Saltz - Syracuse University
- Publisher
- Association for Information Science and Technology (ASIS&T)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000832961200001
- Scopus ID
- 2-s2.0-85135133966
- Other Identifier
- 991019168141404721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Information Science & Library Science