References
- Kang, J. H. 2016a. "Study on the Current Status of Data Science Curriculum in Library and Information Science and its Direction" Journal of Korean Library and Information Science Society, 47(3): 343-363. https://doi.org/10.16981/kliss.47.3.201609.343
- Kang, J. H. 2016b. Study on the Competency of Data Science Curriculum. Korean Society for Library and Information Science Society Occasional Papers Series, May 2016, 년 5월 27일, Pusan: Pusan National University, 105-116.
- Ministry of Education. 2016. Improvement of Undergraduate Degree for Raising Talents with Creativity-Innovation. Sejong: Ministry of Education.
- Kim, Y. H, Kim, Y. J. and Kim, Y. S. 2008. "The Structure of Production and Diffusion of Knowledge in Korean Communication Studies." Korean Journal of Journalism & Communication Studies, 52(1): 117-140.
- Park, S. H. and Lee, H. C. 2018. "The Traditional Market Activation Factor Derivation Research through Social Big Data - Focused on Seoul City Mangwon market and Suyu market." The Seoul Institute, 19(3): 1-18.
- Seo, Y. Jin. 2019. "A Student Survey on Interdisciplinary Major - A Preliminary Study for the Implementation of Convergent Curriculum." Korean Journal of General Education, 13(3): 229-247.
- Yoo, S. R. 2018. "A Diagnostic Analysis of LIS Curriculum from the Meta-literacy Perspective." Journal of The Korean Society For Library and Information Science, 52(2): 191-220. https://doi.org/10.4275/KSLIS.2018.52.2.191
- Yi, M. H. 2016. "A Study on the Curriculums of Data Science." Journal of The Korean Biblia Society For Library and Information Science, 27(1): 263-290. https://doi.org/10.14699/kbiblia.2016.27.1.263
- Lee, S. C. 2019. "Development of Big Data Curriculum in University" The Korea Contents Association Review, 17(2): 29-33.
- National Information Society Agency. 2014. NIA Bigdata Curriculum Reference Model. Daegu: National Information Society Agency.
-
Agarwal, S. 2018. Understanding the Data Science Lifecycle. [online] [cited 2019. 12. 21.]
- Bussaban, K. and Waraporn, P. 2015. "Preparing undergraduate students majoring in Computer Science and Mathematics with Data Science perspectives and awareness in the age of Big Data." Social and Behavioral Sciences, 197: 1443-1446.
- Dhar, V. 2013. "Data science and prediction." Communications of the ACM, 56(12): 64-73. https://doi.org/10.1145/2500499
- Gil, Y. 2014. "Teaching Parallelism Without Programming:A Data Science Curriculum for Non-CS Students." IEEE, 42-48.
- Hayashi, C. 1998. "What is Data Science? Fundamental Concepts and a Heuristic Example." Data Science, Classification, and Related Methods, 40-51. doi:10.1007/978-4-431-65950-1_3
-
iSchool@Syracuse. Data Science Competency. [online] [cited 2019. 12. 13.]
-
Khan, H. R. and Du, Y. 2018. What is a Data Librarian?: A Content Analysis of Job Advertisements for Data Librarians in the United States Academic Libraries, IFLA WLIC 2018. [online] [cited 2020. 1. 9.]
-
Liz L., Mattern, E., Acker A. and Langmead, A. 2015. "Applying Translational Principles to Data Science Curriculum Development." iPres 2015. [online] [cited 2020. 1. 3.]
-
PCMI(The Park City Institute). 2016. Curriculum Guidelines for Undergraduate Programs in Data Science. [online] [cited 2019. 12. 23.]
-
Sidhu, R. 2019. Life Cycle of a Data Science Project; The major steps involved in tackling a real-world data science problem. [online] [cited 2020. 1. 2.]
- Tang, R. and Sae-Lim, W. 2016. "Data science programs in U.S. higher education: An exploratory content analysis of program description, curriculum structure, and course focus." Education for Information, 32(2): 269-290. https://doi.org/10.3233/EFI-160977
-
The Team Data Science Process(TDSP). The Team Data Science Process Lifecycle. [online] [cited 2020. 1. 11.]
- Thomas, C. V. L. and Urban, R. J. 2018 "What Do Data Librarians Think of the MLIS? Professionals' Perceptions of Knowledge Transfer, Trends, and Challenges" College & Research Libraries, 79(3): 401-423. https://doi.org/10.5860/crl.79.3.401
-
Valiance Solutions. Lifecycle of Data Science Projects. [online] [cited 2019. 12. 29.]
-
Zawadzki, K. 2014. Is Data Science a buzzword? Modern Data Scientist defined; Marketing Distillery. [online] [cited 2020. 1. 2.]
- Zhang, J., Fu, A., Wang, H. and Yin, S. 2017. "The development of data science education in China from the LIS perspective." International Journal of Librarianship, 2(2): 3-17.