1 |
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.
|
2 |
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
DOI
|
3 |
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.
|
4 |
Cho, Wooje & Yu, Mi Rim (2018). Creating value for education through big data analysis education programs. The Korea Journal of Big Data, 3(2), 123-130. https://doi.org/10.36498/kbigdt.2018.3.2.123
DOI
|
5 |
Jang, Duk-Hyun (2015). iSchool movement: a critical discourse analysis. Journal of Korean Library and Information Science Society, 46(1), 135-154. https://doi.org/10.16981/kliss.46.1.201503.135
DOI
|
6 |
Jung, Seungwha & Do, Jaewoo (2019). A case study on operation of big data educational program. Journal of Education & Culture, 25(5), 621. https://doi.org/10.24159/joec.2019.25.5.621
DOI
|
7 |
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/
|
8 |
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
DOI
|
9 |
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.
|
10 |
Kim, Yongmin (2018). Data Science Education Program to Improve Computational Thinking and Creativity. Doctoral dissertation, Jeju National University. Republic of Korea.
|
11 |
Lee, Hyewon & Han, Seunghee (2020). An analysis of data science curriculum in Korea. Journal of the Korean Society for Library and Information Science, 54(1), 365-385. https://doi.org/10.4275/KSLIS.2020.54.1.365
DOI
|
12 |
Leem, Jung-Hoon (2020). A study on the educational applicability of team teaching for facilitating convergence education in higher education. Journal of Educational Innovation Research, 30(3), 23-51. https://doi.org/10.21024/pnuedi.30.3.202009.23
DOI
|
13 |
Park, Jiin & Park, Ji-Hong (2021). A study on the job duties and competencies of data librarians: using job advertisement analysis in the United States. Journal of the Korean Biblia Society for Library and Informaton Science, 32(3), 145-162. https://doi.org/10.14699/kbiblia.2021.32.3.145
DOI
|
14 |
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
|
15 |
Park, Hyoungjoo (2022b). An examination of the course syllabi related to data science at the ALA-accredited library and information science programs. Journal of the Korean Society for Information Management, 39(1), 119-143. https://doi.org/10.3743/KOSIM.2022.39.1.119
DOI
|
16 |
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
DOI
|
17 |
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
DOI
|
18 |
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?bbsIdx=33172
|
19 |
Park, Hyoungjoo (2022a). An examination of core competencies for data librarians. Journal of the Korean Biblia Society for Library and Information Science, 33(1), 301-319. https://doi.org/10.14699/kbiblia.2022.33.1.301
DOI
|
20 |
Griffith, B. C. (1980). Key Papers in Information Science. New York: White Plains.
|
21 |
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
DOI
|
22 |
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/
|
23 |
University of Michigan (2022). Career and salary information. Available: https://www.si.umich.edu/employers/career-and-salary-information#:~:text=In%20recent%20rankings%2C%20U%2DM%20schools,satisfaction%20(95%25%20overall)
|
24 |
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
DOI
|
25 |
Zhu, Y. & Xiong, Y. (2015). Towards data science. Data Science Journal, 14(8), 1-7. https://doi.org/10.5334/dsj-2015-008
DOI
|
26 |
Robinson, L. (2009). Information science: communication chain and domain analysis. Journal of Documentation, 65(4), 578-591. https://doi.org/10.1108/00220410910970267
DOI
|
27 |
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
DOI
|
28 |
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
DOI
|
29 |
Syracuse University [n.d.]. Career outlook. Available: https://ischool.syr.edu/careers/career-outlook
|
30 |
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
|
31 |
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
|
32 |
SungKyunKwan University (2019). Convergence major in data science (school year 2019). Available: https://lis.skku.edu/lis/community/under_notice.do?mode=download&articleNo=50833&attachNo=35390
|
33 |
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
|
34 |
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
DOI
|
35 |
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
DOI
|
36 |
Kang, Ji Hei (2016). 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
DOI
|
37 |
Kim, Hyo-Jung & Kim, Hee-Woong (2021). A curriculum study to strengthen AI and data science job competency. Information Policy, 28(2), 34-56. https://do.org/10.22693/NIAIP.2021.28.2.034
DOI
|
38 |
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
DOI
|
39 |
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?sCode=user&mId=129&mPid=128&bbsSeqNo=100&nttSeqNo=3177549
|
40 |
Yi, Myongho (2016). A study on the curricullum 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
DOI
|
41 |
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
|
42 |
Executive Office of the President (2016). The federal big data research and development strategic plan. Available: https://www.nitrd.gov/PUBS/bigdatardstrategicplan.pdf
|
43 |
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/
|
44 |
Bush, V. (1945). As we may think. Atlantic Monthly, 176(1), 101-108.
|
45 |
Dhar, V. (2013). Data science and prediction. Communications of the ACM, 56(12), 64. https://doi.org/10.1145/2500499
DOI
|
46 |
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
DOI
|
47 |
Indiana University Purdue University - Indianapolis (2021). Available: https://tableau.bi.iu.edu/t/prd/views/FirstDestination2016/CareerOutcomesGroup?iframeSizedToWindow=true&%3Aembed=y&%3AshowAppBanner=false&%3Adisplay_count=no&%3AshowVizHome=no#1#1
|
48 |
iSchools Inc. (2022). Directory. Available: https://ischools.org/Directory
|
49 |
Kellam, L. & Thompson, K. (2016). Introduction to Databrarianship: the Academic Data Librarian in Theory and Practice. Chicago, IL: Association of College and Research Libraries.
|
50 |
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
DOI
|
51 |
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
DOI
|
52 |
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
DOI
|
53 |
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
DOI
|