바로가기메뉴

본문 바로가기 주메뉴 바로가기

Journal of the Korean Society for Library and Information Science

Article Contents

Prev
e-Submission

Vol.53 No.1
Citation Share

Re-approach to the Concept of Data Literacy and Its Application to Library Information Services

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2019, v.53 no.1, pp.159-179
https://doi.org/10.4275/KSLIS.2019.53.1.159

(2019). Re-approach to the Concept of Data Literacy and Its Application to Library Information Services. Journal of the Korean Society for Library and Information Science, 53(1), 159-179, https://doi.org/10.4275/KSLIS.2019.53.1.159
  • Downloaded
  • Viewed
PDF Download

Abstract

The purpose of this study is to re-approach the concept of data literacy, to describe the differences with other literacies along with the redefined concept of data literacy. Also, it is tried to find out why and how to use data literacy for library and information services. Research has shown that data literacy plays a central role in interacting with other literacy concepts, and should be understood as a data-driven problem-solving ability that is essential for the future human society. Based on these concept definitions, we propose the application of data literacy to library information service in terms of education service and research support service. In this study, data literacy is defined as the ability to utilize data needed by users in a data - based society, is to explain why data literacy is the ability to utilize data for users in modern society by distinguishing differences from other literacy. This concludes with a discussion and proposal on what library information services can be implemented.

keywords
데이터리터러시, 디지털리터러시, 도서관정보서비스, 정보활용교육, 정보이용교육, Data Literacy, Digital Literacy, Library and Information Services, Information Use Education, Information Use Insturction

Reference

1.

교육인적자원부, 한국교육학술정보원. 2006. 『지식 정보 역량 개발 지원을 위한 디지털 리터러시지수 개발 연구』. 서울: 교육인적자원부, 한국교육학술정보원. 연구보고 CR 2006-13.

2.

권성호, 김성미. 2011. 소셜 미디어 시대의 디지털 리터러시 재개념화: Jenkins의 ‘컨버전스’와 ‘참여문화’를 중심으로. 『미디어와 교육』, 1(1): 65-82.

3.

김지현. 2018. 북미 대학도서관 연구데이터 관리 교육 프로그램 내용 분석. 『정보관리학회지』, 35(4):7-36.

4.

심원식. 2016. 미국 대학도서관의 연구데이터 지원 서비스사례 연구. 『한국문헌정보학회지』, 50(4):311-332.

5.

이재윤. 2015. 데이터 사이언스와 데이터 리터러시. 『한국정보관리학회 학술대회 논문집』, 11-15.

6.

이정미. 2013. 빅데이터의 이해와 도서관 정보서비스에의 활용. 『한국비블리아학회지』, 24(4): 53-73.

7.

정영미. 2018. 미국 공공도서관의 성인을 위한 디지털 리터러시 교육에 관한 연구. 『한국문헌정보학회지』, 52(1): 359-380.

8.

한국교육학술정보원 역. 2017. 『NMC Horizon Report(한국어판): 2017 도서관 에디션』. 대구: 한국교육학술정보원

9.

한상우. 2017. 인문학 기반 데이터 리터러시 모형 설계에 관한 연구. 『한국비블리아 발표논집』, 45-71.

10.

한상우. 2018. 인문학 기반 데이터 리터러시 개념에 대한 연구. 『정보관리학회지』, 35(4): 223-236.

11.

Abbott, D. 2008. “DCC Briefing Papers: What is Digital Curation?" [online] [cited 2018. 11. 24.] <http://www.dcc.ac.uk/resources/briefing-papers/introduction-curation>

12.

ALA. 2013. Digital Literacy, Libraries, and Public Policy: Report of the Office for Information Technololgy Policy's Digital Literacy Task Force. [online] [cited 2018. 10. 29.]<https://districtdispatch.org/wp-content/uploads/2013/01/2012_OITP_digilitreport_1_22_13.pdf>

13.

Data-Pop Alliance. 2015. Beyond Data Literacy: Reinventing Community Engagement and Empowerment in the Age of Data. [online] [cited 2018. 11. 21.]<http://datapopalliance.org/wp-content/uploads/2015/11/Beyond-Data-Literacy-2015.pdf>

14.

Erwin Jr, R. W. 2015. “Data Literacy: Real-world Learning through Problem-solving with Data Sets.” American Secondary Education, 43(2): 18.

15.

Fontichiaro, K. and Oehrli, J. A. 2016. “Why Data Literacy Matters.” Knowledge Quest, 44(5): 21-27.

16.

Giaretta, D. and Rankin, S. 2004. “DCC Approach to Digital Curation” [online] [cited 2018. 11. 27.] <http://www.dcc.ac.uk/resources/publications/2004>

17.

Heidorn, B. 2011. “The Emerging Role of Libraries in Data Curation and e-science.” Journal of Library Administration, 51(7-8): 662-672.

18.

Koltay, T. 2015. “Data Literacy: in search of a Name and Identity.” Journal of Documentation, 71(2): 401-415.

19.

Mandinach, E. B. et al. 2015. “Ethical and appropriate data use requires data literacy.” Phi Delta Kappan, 96(5): 25-28.

20.

Martin, R., E. 2014. “What is Data Literacy?” Journal of eScience Librarianship, 3(1): e1069

21.

Maybee, C. and Zilinski, L. 2015. Data Informed Learning: A Next Phase Data Literacy Framework for Higher Education. [online] [cited 2018. 11. 24.]<https://onlinelibrary.wiley.com/doi/pdf/10.1002/pra2.2015.1450520100108>

22.

Prado, J. C. and Marzal, M. Á. 2013. “Incorporating Data Literacy into Information Literacy Programs: Core Competencies and Contents.” Libri, 63(2): 123-134.

23.

Select Committee on Digital Skills of Authority of House of Lords. 2015. [online] [cited 2018. 11. 29.]<http://www.publications.parliament.uk/pa/ld201415/ldselect/lddigital/111/111.pdf>

24.

Tuladhar, A. 2014. Data Literacy Training: Climate Change and Budget Data of Nepal. [online][cited 2018. 11. 24.]<https://www.slideshare.net/anjesh/data-literacy-training-using-climate-change-and-bud get-data-of-nepal>

25.

Ventimiglia, P. and Pullman, G. 2016. From Written To Digital: The New Literacy. [online] [cited 2018. 11. 24.] <https://er.educause.edu/~/media/files/articles/2016/3/erm1623.pdf>

26.

Wolff, A., Gooch D. and Kortuem. G. 2016. Data Literacy to Support Human-centred Machine Learning. [online] [cited 2018. 11. 24.]<http://www.doc.gold.ac.uk/~mas02mg/HCML2016/HCML2016_paper_1.pdf>

Journal of the Korean Society for Library and Information Science

e-Submission OA Policy