한국비블리아학회지 (Journal of the Korean BIBLIA Society for library and Information Science)

한국비블리아학회 (Korean Biblia Society for Library and Information Science)
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데이터사서의 핵심 역량 분석 연구

An Examination of Core Competencies for Data Librarians

  • 박형주 (충남대학교 문헌정보학과)
  • 투고 : 2022.02.22
  • 심사 : 2022.03.10
  • 발행 : 2022.03.30
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초록

최근 수십 년 동안 데이터 집약적인 연구 환경에서, 데이터 중심의 연구의 양이 빠르게 증가하고 있으며 주요 연구 재단의 데이터 관리 정책이 변화되어 왔다. 따라서, 연구자들은 연구데이터를 관리하고 공유하는 데 있어 새로운 도전에 직면하고 있다. 사서는 데이터 관리 지침, 데이터 큐레이션, 데이터 시각화, 데이터 교육 및 훈련 등 다양한 서비스를 제공하기 시작했다. 이에 따라, 사서는 데이터 서비스에서 전문가의 역할을 맡기 시작했다. 하지만, 데이터사서라는 새로운 전문직의 역할과 핵심 역량은 아직 명확하게 확립되지 않았다. 따라서, 데이터사서에 대한 핵심 역량을 식별할 필요가 있다. 본 연구는 데이터사서 구직에 필요한 핵심 역량을 파악하고자 2017년부터 2021년까지 등록된 95개의 온라인 구인 광고를 바탕으로 채용 정보를 분석했다. 데이터사서의 핵심 역량은 기술, 커뮤니케이션 및 대인 관계, 교육/컨설팅, 서비스, 메타데이터, 도서관 경영, 데이터 큐레이션이었다. 기술 역량은 통계 소프트웨어, 컴퓨터 프로그래밍 활용 역량이 중요했다. 본 연구는 데이터사서의 핵심 역량과 구직에 필요한 요구 사항을 파악하는 기초 자료로서 활용될 수 있고, 현장의 요구를 반영한 교과 과정 개발 및 개정에 활용될 수 있다.

In recent decades, research became more data-intensive in the fast-paced information environment. Researchers are facing new challenges in managing their research data due to the increasing volume of data-driven research and the policies of major funding agencies. Information professionals have begun to offer various data support services such as training, instruction, data curation, data management planning and data visualization. However, the emerging field of data librarians, including specific roles and competencies, has not been clearly established even though librarians are taking on new roles in data services. Therefore, there is a need to identify a set of competencies for data librarians in this growing field. The purpose of this study is to consider varying core competencies for data librarians. This exploratory study examines 95 online recruiting advertisements regarding data librarians posted between 2017 and 2021. This study finds core competencies for data librarians that include skills in technology, communication and interpersonal relationships, training/consulting, service, library management, metadata knowledge and knowledge of data curation. Specific core technology skills include knowledge of statistical software and computer programming. This study contributes to an understanding of core competencies for data librarians to help future information professionals prepare their competencies as data librarians and the instructors who develop and revise curriculum and course materials.

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참고문헌

  1. Go, J., Lee, G., Pyun, C., & Kim, S. (2010). A study on defining the concept and estimating the weight of employment competency for the youth. The Journal of Vocational Education Research, 29(2), 17-42.
  2. Lee, S. & Yoon, J. (2016). A study on the curriculum for training data librarian. Proceedings of the 23rd Conference of the Korean Society for Information Management. 71-76.
  3. Lee, Y. K. & Chung, E. (2015). An investigation on core competencies of data curator. Journal of the Korean Biblia Society for Library and Information Science, 26(3), 129-150. https://doi.org/10.14699/kbiblia.2015.26.3.129
  4. National Research Foundation of Korea (2021). Integrated portal platform of the university financial support project. Available: https://nrf.re.kr/univsupport
  5. Park, H. W. & Cho, H. Y. (2020). An analytical study on the factors of job changes at public libraries according to their changing surrounding environments. Journal of Korean Library and Information Science Society, 51(2), 23-53. https://doi.org/10.16981/kliss.51.2.202006.23
  6. Park, J. & Park, J. (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 Information Science, 32(3), 145-162. https://doi.org/10.14699/kbiblia.2021.32.3.145
  7. Park, M. (2008). A new approach to curriculum development in higher education: competence-based curriculum. The Journal of Curriculum Studies, 26(4), 173-197. https://doi.org/10.15708/kscs.26.4.200812.008
  8. Regulations on the management of national research and development projects. Presidential Decree No. 29625.
  9. Yun, C., Kim, M., Youn, S., & Park, M. (2007). The essential characteristics and dimensions of competence as human ability. Korean Journal of Educational Research, 45(3), 233-260.
  10. Cragin, M. H., Melissa, H., Palmer, C., Varvel, V. E., Collie, A., & Dolan, M. A. (2009). Analyzing data curation job descriptions. 5th International Digital Curation Conference. Available: https://www.ideals.illinois.edu/handle/2142/14544
  11. European Commission (2021). European legislation on open data. Available: https://digital-strategy.ec.europa.eu/en/policies/legislation-open-data
  12. Executive Office of the President (2016). The federal big data research and development strategic plan. Available: www.nitrd.gov/PUBS/bigdatardstrategicplan.pdf
  13. Kellam, L. & Thompson, K. (2016). Introduction to databrarianship: the academic data librarian in theory and practice. Chicago: Association of College and Research Libraries.
  14. Khan, H. R. & Du, Y. (2018). What is a data librarian?: a content analysis of job advertisements for data librarians in the United States academic libraries. International Federation of Library Associations and Institutions - World Library and Information Congress. Available: http://library.ifla.org/id/eprint/2255/1/139-khan-en.pdf
  15. Kim, J., Warga, E., & Moen, W. (2013). Competencies required for digital curation: an analysis of job advertisement. International Journal of Digital Curation, 8(1), 66-83. https://doi.org/10.2218/ijdc.v8i1.242
  16. Kuijpers, M. T. & Scheerens, J. (2006). Career competencies for the modern career. Journal of Career Development, 32(4), 303-319. https://doi.org/10.1177/0894845305283006
  17. Library of Congress (2018). Enriching the library experience: The FY2019-2023 Strategic Plan of the Library of Congress. Available: https://www.loc.gov/strategic-plan
  18. Lyon, L., Mattern, E., Acker, A., & Langmead, A. (2015). Applying translational principles to data science curriculum. Chapel Hill, [s.n.].
  19. National Institutes of Health. (2003). Final NIH statement on sharing research data. Available: https://grants.nih.gov/grants/guide/notice-files/NOT-OD-03-032.html
  20. National Science Foundation. (2011). Digital research data sharing and management. Available: www.nsf.gov/nsb/publications/2011/nsb1124.pdf
  21. Semeler, A. R., Pinto, A. L., & Rozados, H. B. (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
  22. The White House (2013). Open government initiative. Available: https://obamawhitehouse.archives.gov/open
  23. United States Census Bureau. (2021a). State-by-state visualizations of key demographic trends from the 2020 census. Available: https://www.census.gov/library/stories/state-by-state.html
  24. United States Census Bureau. (2021b). Income and poverty in the United States: 2020. Available: https://www.census.gov/library/publications/2021/demo/p60-273.html