Data science curriculum in the<scp>iField</scp>-Reference-Cited by-同舟云学术

Data science curriculum in theiField

Published:2022-07-30 Issue: Volume: Page:
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:Asso for Info Science & Tech

Author:

Zhang Yin¹^ORCID,Wu Dan²^ORCID,Hagen Loni³^ORCID,Song Il‐Yeol⁴^ORCID,Mostafa Javed⁵,Oh Sam⁶^ORCID,Anderson Theresa⁷^ORCID,Shah Chirag⁸^ORCID,Bishop Bradley Wade⁹^ORCID,Hopfgartner Frank¹⁰^ORCID,Eckert Kai¹¹,Federer Lisa¹²^ORCID,Saltz Jeffrey S.¹³^ORCID

Affiliation:

1. School of Information Kent State University Kent Ohio USA

2. School of Information Management Wuhan University Wuhan China

3. School of Information University of South Florida Tampa Florida USA

4. College of Computing & Informatics Drexel University Philadelphia Pennsylvania USA

5. School of Information and Library Science University of North Carolina at Chapel Hill Chapel Hill North Carolina USA

6. Department of Library and Information Science and Data Science Sungkyunkwan University Seoul South Korea

7. Connecting Stones Consulting Sydney Australia

8. Information School University of Washington Seattle Washington USA

9. School of Information Sciences University of Tennessee Knoxville Tennessee USA

10. Information School University of Sheffield Sheffield UK

11. Stuttgart Media University Stuttgart Germany

12. National Library of Medicine National Institutes of Health Bethesda Maryland USA

13. School of Information Studies Syracuse University Syracuse New York USA

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/asi.24701

Reference73 articles.

1. Computing competencies for undergraduate data science curricula

2. Graduate Education in Statistics and Data Science: The Why, When, Where, Who, and What

3. Albright K. &Mehra B.(2020).Information for a sustainable world: Addressing society's grand challenges.Paper presented at the Proceedings of the 83rd Annual Meeting ASIS&T 2020.

4. Keeping the human in the data scientist: Shaping human‐centered data science education

5. Discussion of “A review of data science in business and industry and a future view”

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rankings vs Realities: Exploring Competency Differences in Graduate Data Science Programs;2023 IEEE Frontiers in Education Conference (FIE);2023-10-18

2. Data Flourishing: Developing Human‐Centered Data Science through Communities of Ethical Practice;Proceedings of the Association for Information Science and Technology;2023-10