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A Study on Research Trends of Library Science and Information Science Through Analyzing Subject Headings of Doctoral Dissertations Recently Published in the U.S.

학위논문 분석을 통한 미국 도서관학 및 정보과학 최근 연구 동향에 관한 연구

  • 김현정 (서울여자대학교 사회과학대학 문헌정보학과)
  • Received : 2018.08.18
  • Accepted : 2018.09.27
  • Published : 2018.09.30

Abstract

The study examines the research trends of doctoral dissertations in Library Science and Information Science published in the U.S. for the last 5 years. Data collected from PQDT Global includes 1,016 doctoral dissertations containing "Library Science" or "Information Science" as subject headings, and keywords extracted from those dissertations were used for a network analysis, which helps identifying the intellectual structure of the dissertations. Also, the analysis using 103 subject heading keywords resulted in various centrality measures, including triangle betweenness centrality and nearest neighbor centrality, as well as 26 clusters of associated subject headings. The most frequently studied subjects include computer-related subjects, education-related subjects, and communication-related subjects, and a cluster with information science as the most central subject contains most of the computer-related keywords, while a cluster with library science as the most central subject contains many of the education-related keywords. Other related subjects include various user groups for user studies, and subjects related to information systems such as management, economics, geography, and biomedical engineering.

본 연구는 2014년부터 2018년까지 최근 5년간 미국에서 발표된 도서관학 및 정보과학 분야 학위논문의 연구동향을 파악하기 위해 PQDT Global 데이터베이스에 수록된 1,016편의 박사학위 논문을 수집하여 각 논문의 관련 학문 분야를 나타내는 분야명들을 추출하고 네트워크 분석을 통해 분야명 간의 관계와 네트워크 전반에 걸쳐 다른 분야들과 관계가 있는 전역중심성이 높은 분야명을 파악하는 것과 동시에 군집분석을 통해 연관성 높은 분야명들이 어떠한 군집을 형성하는지, 각 군집 안에서 지역중심성이 높은 분야명들은 어떤 것들인지 살펴보았다. 103개 핵심 분야명 키워드를 이용한 네트워크 분석 결과 최근 5년간 미국의 도서관학 및 정보과학 분야 박사학위 논문의 관련 학문분야로는 컴퓨터 관련 분야, 교육 관련 분야, 커뮤니케이션 관련 분야 외에도 다양한 이용자 집단에 관한 연구와 정보시스템 관련 분야 등을 포함하여 26개의 군집을 형성하는 것으로 나타났다. 26개 군집들 중 정보과학을 중심으로 하는 군집에는 컴퓨터 관련 학문 분야명들이 다수 포함되었고, 도서관학을 중심으로 하는 군집에는 대부분 교육 관련 분야명들이 포함되었으며, 그 외에도 이용자 연구와 관련하여 특정 이용자 그룹과 관련된 젠더연구분야나 정보시스템과 관련하여 경영학, 지리학, 의공학 등 다양한 학문 분야와 연관되어 있음을 알 수 있다.

Keywords

Acknowledgement

Supported by : 서울여자대학교

References

  1. Kong, Jeong-Ja (2011). Analysis of the tendency to study children's services in the field of library and information science: Focused on masters and doctoral theses submitted from 1981 to 2010. Journal of the Korean Society for Library and Information Science, 45(3), 303-325. http://dx.doi.org/10.4275/KSLIS.2011.45.3.303
  2. Kim, Mi-Seol, & Chang, Woo-Kwon (2015). A study on the research trend of library marketing promotion. Journal of the Korean Society for Information Management, 32(1), 171-204. http://dx.doi.org/10.3743/KOSIM.2015.32.1.171
  3. Kim, Sung-Jin (2015). An analysis of research trends on theory use in Korean library and information science: Focusing on Journal of the Korean Society for Library and Information Science from 2010 through 2014. Journal of the Korean Biblia Society for Library and Information Science, 26(4), 179-200. http://dx.doi.org/10.14699/kbiblia.2015.26.4.179
  4. Kim, Soojung (2015). Research trends of information literacy instruction in the library and information science field. Journal of the Korean Biblia Society for Library and Information Science, 26(3), 207-239. http://dx.doi.org/10.14699/kbiblia.2015.26.3.207
  5. Kim, Pan Jun (2015a). An analytical study on research trends of reading and reading instruction in overseas: Focused on library and information science. Journal of the Korean Society for Information Management, 32(3), 69-97. http://dx.doi.org/10.3743/KOSIM.2015.32.3.069
  6. Kim, Pan Jun (2015b). An analytical study on research trends of digital curation: Focused on library and information science. Journal of the Korean Society for Information Management, 32(1), 265-295. http://dx.doi.org/10.3743/KOSIM.2015.32.1.265
  7. Kim, Ha Jin, & Song, Min (2014). A study on the research trends in domestic/international information science articles by co-word analysis. Journal of the Korean Society for Information Management, 31(1), 99-118. http://dx.doi.org/10.3743/KOSIM.2014.31.1.099
  8. Noh, Younghee (2005). A comparative study on the curriculum development of library & information science in Korea in line with the structural shifts of the society. Journal of Korean Library and Information Science Society, 36(1), 479-503.
  9. Park, Ja-Hyun, & Song, Min (2013). A study on the research trends in library & information science in Korea using topic modeling. Journal of the Korean Society for Information Management, 30(1), 7-32. http://dx.doi.org/10.3743/KOSIM.2013.30.1.007
  10. Park, Joon-Sik, & Lee, Soon-Young (2005). Research trends of tea culture on the related thesis & dissertation in Korea. Journal of Korean Library and Information Science Society. 36(2), 31-48.
  11. Seo, Man-Deok, & Nam, Young-Joon (2010). A research on the trend of quantitative research through the analysis of master's and doctoral dissertations of information literacy. Journal of the Korean Society for Information Management, 27(4), 309-328. http://dx.doi.org/10.3743/KOSIM.2010.27.4.309
  12. Seo, SunKyung, & Chung, EunKyung (2013). Domain analysis on the field of open access by co-word analysis. Journal of the Korean Biblia Society for Library and Information Science, 24(1), 207-228. https://doi.org/10.14699/kbiblia.2013.24.1.207
  13. Seo, Eun-Gyoung, & Yu, So-Young (2013). Detecting research trends in Korean information science research, 2000-2011. Journal of the Korean Society for Information Management, 30(4), 215-239. http://dx.doi.org/10.3743/KOSIM.2013.30.4.215
  14. Seo, Eun-Gyoung, Lee, Won-Kyung, Park, Eun-Kyung, & Lee, Ock-Seong (2015). Informetric analysis of research trends in the Journal of Korean Biblio Society for Library and Information Science. Journal of the Korean Biblia Society for Library and Information Science, 26(3), 315-343. http://dx.doi.org/10.14699/kbiblia.2015.26.3.315
  15. Yoo, Sarah (2010). A diagnostic analysis of metadata R&D status in Korea. Journal of the Korean Society for Library and Information Science, 44(2), 405-426. http://dx.doi.org/10.4275/KSLIS.2010.44.2.405
  16. Lee, Seok-Hyoung, & You, Beom-Jong (2014). A study on the research trends of library and information science in Korea using S&T authority data. Journal of the Korean Society for Library and Information Science, 48(4), 377-399. http://dx.doi.org/10.4275/KSLIS.2014.48.4.377
  17. Lee, Jae Yun (2006). Centrality measures for bibliometric network analysis. Journal of the Korean Society for Library and Information Science, 40(3), 191-214. https://doi.org/10.4275/KSLIS.2006.40.3.191
  18. Lee, Jae Yun (2013). A comparison study on the weighted network centrality measures of tnet and WNET. Journal of the Korean Society for Information Management, 30(4), 241-264. http://dx.doi.org/10.3743/KOSIM.2013.30.4.214
  19. Lee, Jae Yun (2015). Identifying the research fronts in Korean library and information science by document co-citation analysis. Journal of the Korean Society for Information Management, 32(4), 77-106. http://dx.doi.org/10.3743/KOSIM.2015.32.4.077
  20. Lee, Jae Yun (2017). Deep learning research trends analysis with ego centered topic citation analysis. Journal of the Korean Society for Information Management, 34(4), 7-32. http://dx.doi.org/10.3743/KOSIM.2017.34.4.007
  21. Lee, Jae Yun, & Kim, Soojung (2016). A bibliometric analysis of research trends on disaster in Korea. Journal of the Korean Society for Information Science, 33(3), 103-124. http://dx.doi.org/10.3743/KOSIM.33.3.103
  22. Lee, Jee Yeon, & Kim, Junsup (2016). Analyzing the trends of the Korean information user studies. Journal of the Korean Society for Information Management, 33(4), 201-223. http://dx.doi.org/10.3743/KOSIM.2016.33.4.201
  23. Lee, HeyYoung (2017). Research trends on public libraries in Korea. Journal of the Korean Biblia Society for Library and Information Science, 28(3), 27-43. http://dx.doi.org/10.14699/kbiblia.2017.28.3.027
  24. Zhang, Ling Ling, & Hong, Hyun Jin (2014). Examining the intellectual structure of reading studies with co-word analysis based on the importance of journals and sequence of keywords. Journal of the Korean Biblia Society for Library and Information Science, 25(1), 295-318. http://dx.doi.org/10.14699/kbiblia.2014.25.1.295
  25. Chang, Yun-Mee, & Chung, Yeon-Kyoung (2013). A study on analysis of research trends about classification in Korea. Journal of the Biblia Society for Library and Information Science, 24(1), 25-44.
  26. Jung, Soo-Youn, & Lee, Myoung-Gyu (2011). A trend analysis on the bibliotherapy program for hementaiy school students in Korea: 2003-2010. Journal of the Korean Biblia Society for Library and Information Science, 22(3), 317-333. https://doi.org/10.14699/KBIBLIA.2011.22.3.317
  27. Jeong, Ji-Na, Jeong, Him-Chan, & Kim, Yong (2017). Analysis of trends on disaster safety information based on language network analysis methods. Journal of the Korean Biblia Society for Library and Information Science, 28(3), 67-93. http://dx.doi.org/10.14699/kbiblia.2017.28.3.067
  28. Choi, Jeong Min, & Kim, You-seung (2013). A study on the research trends of information freedom in Korea. Journal of the Korean Society of Archives and Records Management, 13(3), 173-197. http://dx.doi.org/10.14404/JKSARM.2013.13.3.173
  29. Choi, Hyung Wook, Choi, Ye-Jin, & Nam, So-Yeon (2018). Time series analysis of intellectual structure and research trend changes in the field of library and information science: 2003 to 2017. Journal of the Korean Society for Information Management, 35(2), 89-114. http://dx.doi.org/10.3743/KOSIM.2018.35.2.089
  30. Andersen, J. P., & Hammarfelt, B. (2011). Price revisited: On the growth of dissertations in eight research fields. Scientometrics, 88, 371-383. https//doi.org/10.1007/s11192-011-0408-8
  31. Bates, M. J. (2007). Defining the information disciplines in encyclopedia development. Information Research. 12(4). paper colis29. Retrieved from http://www.informationr.net/ir/12-4/colis/colis29.html
  32. Bobinski, G. (1986). Doctoral programs in library and information science in the United States and Canada. Library Trends, 34(4), 697-714.
  33. Hansen, D. L., Shneiderman, B., & Smith, M. A. (2011). Analyzing social media networks with NodeXL: Insights from a connected world. MA: Morgan Kaufmann.
  34. Kim, S., Hansen, D., & Helps, R. (2018). Computing research in the academy: Insights from theses and dissertations. Scientometrics, 114, 135-158. https//doi.org/10.1007/s11192-017-2572-y
  35. Morichika, N., & Shibayama, S. (2016). Use of dissertation data in science policy research. Scientometrics, 108, 221-241. https//doi.org/10.1007/s11192-016-1962-x
  36. Zong, Q. J., Shen, H. Z., Yuan, Q. J., Hu, X. W., Hou, Z. P., & Deng, S. G. (2013). Doctoral dissertations of library and information science in China: A co-word analysis. Scientometrics, 94, 781-799. https://doi.org/10.1007/s11192-012-0799-1