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NTIS 바로가기한국도서관 정보학회지 = Journal of Korean Library and Information Science Society, v.53 no.2, 2022년, pp.305 - 332
박형주 (충남대학교 문헌정보학과)
This preliminary study examined the degree programs in data science at the School of Information in the States. The focus of this study was the data science degrees offered at the School of Information awarded by the 64 Library and Information Science (LIS) programs accredited by the American Librar...
Bae, Jinhee, Kim, Kyoung Huy, Kim, Keunkon, Seo, Hye Seok, & Lee, Jeong Mee (2012). A study on effectiveness of project learning in social welfare education. Korean Journal of Social Welfare Education, 18, 1-22.
Bae, Jinhee, Kim, Se Ryeong, & Jung, Jaemin (2021). A study on the development of convergence subjects to improve social problem solving ability. Korean Journal of Social Welfare Education, 56, 131-157. https://doi.org/10.31409/KJSWE.2021.56.131
Chang, Youngjae (2017). The direction of data science education in the fourth industrial revolution era: focusing on understanding of artificial intelligence and data initiative. The Journal of Integrated Humanities, 9(10), 155-180.
Kim, Misung, Choi, Myoungsook, & Lee, Sung-Ha (2021). An analysis of domestic research trends on university convergence education: focusing on academic papers published in registered journals from 2011 to 2020. The Korean Journal of Educational Methodology Studies, 33(1), 77-99. https://doi.org/10.17927/tkjems.2021.33.1.77
Kim, Yongmin (2018). Data Science Education Program to Improve Computational Thinking and Creativity. Doctoral dissertation, Jeju National University. Republic of Korea.
Lee, Hee Yong (2020). A study on the present state of convergence curriculum and convergence methodology: in humanities, social sciences and arts. Korean Journal of Arts Education, 18(4), 135-154.
Lee, Hee Yong, Yoon, Ahyoung, & Kim, Jae-Deuk (2014). A study on the present state of humanities and arts convergence education in Korean universities. Studies in Humanities and Social Sciences, 44, 183-222. https://doi.org/10.17939/hushss.2014..44.007
Ministry of Science and ICT (2022, January 27). (4th revision) Announcement of integration of new tasks for nurturing scientific and technological innovation talents in 2022. Available: https://www.msit.go.kr/bbs/view.do?sCodeuser&mId129&mPid128&bbsSeqNo100&nttSeqNo3177549
Ministry of Science and ICT & Korea Data Agency (2022). A summary of the main results of the study on the status of the data industry in 2021. Available: https://www.kdata.or.kr/kr/board/info_01/boardView.do?bbsIdx33172
SungKyunKwan University (2019). Convergence major in data science (school year 2019). Available: https://lis.skku.edu/lis/community/under_notice.do?modedownload&articleNo50833&attachNo35390
Youn, Jin Young, Kim, Yu Mi, So, Jae Hwan, & Kim, Yeon Hyeoung (2019). A study on the media art STEAM education program using data science and artificial intelligence. The Korean Society of Science & Art, 37(5), 265-276. https://doi.org/10.17548/ksaf.2019.12.30.265
American Library Association. (2022, March 25). Directory of institutions offering ALA-accredited master's programs in library and information studies. Available: https://www.ala.org/educationcareers/accreditedprograms/directory
Anselmo, J. (2021). A social science major is coming to UMD in fall 2022. Available: https://dbknews.com/2021/04/25/a-social-data-science-major-is-coming-to-umd-in-fall-2022/
Brady, E. H. (2019). The challenge of big data and data science. Annual Review of Political Science, 22, 297-323. https://doi.org/10.1146/annurev-polisci-090216-023229
Burton, M. & Lyon, L. (2017). Data science in libraries. Bulletin of the Association for Information Science and Technology, 43(4), 33-35. https://doi.org/10.1002/bul2.2017.1720430409
Bush, V. (1945). As we may think. Atlantic Monthly, 176(1), 101-108.
Cervone, H. F. (2015). Informatics and data science: an overview for the information professional. Digital Library Perspectives, 32(1), 7-10. https://doi.org/10.1108/DLP-10-2015-0022
Dhar, V. (2013). Data science and prediction. Communications of the ACM, 56(12), 64. https://doi.org/10.1145/2500499
Executive Office of the President (2016). The federal big data research and development strategic plan. Available: https://www.nitrd.gov/PUBS/bigdatardstrategicplan.pdf
Griffith, B. C. (1980). Key Papers in Information Science. New York: White Plains.
Harris-Pierce, R. L. & Liu, Y. Q. (2012). Is data curation education at library and information science schools in North America adequate? New Library World, 113(11/12), 598-613. https://doi.org/10.1108/03074801211282957
Indiana University Purdue University - Indianapolis (2021). Available: https://tableau.bi.iu.edu/t/prd/views/FirstDestination2016/CareerOutcomesGroup?iframeSizedToWindowtrue&%3Aembedy&%3AshowAppBannerfalse&%3Adisplay_countno&%3AshowVizHomeno#1#1
Indiana University Purdue University - Indiannapolis [n.d.]. Data Science B.S. (online) + applied data science M.S. Available: https://soic.iupui.edu/degrees/accelerated-bachelors-masters/data-science-ads
iSchools Inc. (2022). Directory. Available: https://ischools.org/Directory
Kellam, L. & Thompson, K. (2016). Introduction to Databrarianship: the Academic Data Librarian in Theory and Practice. Chicago, IL: Association of College and Research Libraries.
Kim, J., Warga, E., & Moen, W. (2013). Competencies required for digital curation: an analysis of job advertisements. International Journal of Digital Curation, 66-83. https://doi.org/10.2218/ijdc.v8i1.242
Li, S., Zhuang, X., Xing, W., & Guo, W. (2013). The cultivation of scientific data specialists: development of LIS education oriented e-science service requirements. Library Hi Tech, 31(4), 700-724. https://doi.org/10.1108/LHT-06-2013-0070
Lyon, L. & Brenner, A. (2015). Bridging the data talent gap: positioning the iSchool as an agent for change. International Journal of Digital Curation, 10(1), 111-122. https://doi.org/10.2218/ijdc.v10i1.349
Lyon, L., Mattern, E., Acker, A., & Langmead, A. (2015). Applying translational principles to data science curriculum. Proceedings of the iPres. Chapel Hill. Available: http://d-scholarship.pitt.edu/id/eprint/27159
Macelil, M. (2015). Creating tomorrow's technologists: contrasting information technology curriculum in north American library and information science graduate programs against Code4lib job listings. Journal of Education for Library and Information Science, 56(3), 198-212. https://doi.org/10.3138/jelis.56.3.198
Robinson, L. (2009). Information science: communication chain and domain analysis. Journal of Documentation, 65(4), 578-591. https://doi.org/10.1108/00220410910970267
Semeler, A., Pinto, A., & Rozados, H. (2019). Data science in data librarianship: core competencies of a data librarian. Journal of Librarianship and Information Science, 51(3), 771-780. https://doi.org/10.1177/0961000617742465
Shi, Y., Yu, P. S., Zhu, Y., & Tian, Y. (2014). Explore new field of data science under big data era: preface for ICDS 2014. Procedia Computer Science, 30, 1-3. https://doi.org/10.1016/j.procs.2014.05.374
Stanton, J. M. (2012). Data science: what's in it for the new librarian? Available: https://ischool.syr.edu/data-science-whats-in-it-for-the-new-librarian/
Syracuse University [n.d.]. Career outlook. Available: https://ischool.syr.edu/careers/career-outlook
Tang, R. & Sae-Lim, W. (2017). Data science programs in U.S. higher education: an interview with the authors. Journal of eScience Librarianship, 6(1), e1105. https://doi.org/10.7191/jeslib.2017.1105
University of Illinois - Urbana Champaign [n.d.-a]. iSchool illini success 2018-2020. Available: https://ischool.illinois.edu/sites/default/files/documents/MSLIS%20first%20desti nations%202018-20.pdf
University of Illinois - Urbana Champaign [n.d.-b]. BS in Information Science + Data Science. Available: https://ischool.illinois.edu/degrees-programs/undergraduate/bs-data-science
University of Michigan (2022). Career and salary information. Available: https://www.si.umich.edu/employers/career-and-salary-information#:~:textIn%20recent%20rankings%2C%20U%2DM%20schools,satisfaction%20(95%25%20overall)
Wang, L. (2018). Twinning data science with information science in schools of library and information science. Journal of Documentation, 74(6), 1243-1257. https://doi.org/10.1108/JD-02-2018-0036
Zawadzki, K. (2014). Is data science a buzzword? Available: https://mywebvault.wordpress.com/2017/05/18/is-data-science-a-buzzword-modern-data-scientist-defined-marketing-distillery/
Zhu, Y. & Xiong, Y. (2015). Towards data science. Data Science Journal, 14(8), 1-7. https://doi.org/10.5334/dsj-2015-008
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