Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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Intellectual Structure Analysis on the Field of Open Data Using Co-word Analysis

동시출현단어 분석을 이용한 오픈 데이터 분야의 지적 구조 분석

  • 이혜경 (대구가톨릭대학교 사회과학대학 문헌정보학과) ;
  • 이용구 (경북대학교 사회과학대학 문헌정보학과)
  • Received : 2023.11.24
  • Accepted : 2023.12.13
  • Published : 2023.12.30
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Abstract

The purpose of this study is to examine recent trends and intellectual structures in research related to open data. To achieve this, the study conducted a search for the keyword "open data" in Scopus and collected a total of 6,543 papers from 1999 to 2023. After data preprocessing, the study focused on the author keywords of 5,589 papers to perform network analysis and derive centrality in the field of open data research and linked open data research. As a result, the study found that "big data" exhibited the highest centrality in research related to open data. The research in this area mainly focuses on the utilization of open data as a concept of public data, studies on the application of open data in analysis related to big data as an associated concept, and research on topics related to the use of open data, such as the reproduction, utilization, and access of open data. In linked open data research, both triadic centrality and closeness centrality showed that "the semantic web" had the highest centrality. Moreover, it was observed that research emphasizing data linkage and relationship formation, rather than public data policies, was more prevalent in this field.

본 연구의 목적은 오픈 데이터 관련 연구의 최근 동향과 지적 구조를 고찰하는 것이다. 이를 위하여 본 연구는 Scopus에서 저자 키워드로 'open data'를 검색하여 1999년부터 2023년까지 총 6,543건의 논문을 수집하였으며, 데이터 전처리 이후 5,589편 논문의 저자 키워드를 대상으로 오픈 데이터 관련 연구 분야 및 링크드 오픈 데이터 관련 연구 분야의 중심성 도출과 네트워크 분석을 수행하였다. 그 결과, 오픈 데이터 관련 연구에서는 'big data'가 가장 높은 중심성을 보였으며, 주로 공공데이터 개념의 오픈 데이터로서의 활용 및 정책 적용 연구, 빅데이터와의 연관개념으로서의 오픈 데이터를 활용한 데이터 분석에 관한 연구, 오픈 데이터의 재생산이나 활용 및 접근과 같은 오픈 데이터의 이용과 관련한 주제의 연구가 이뤄지고 있음이 나타났다. 그리고 링크드 오픈 데이터 관련 연구는 삼각매개중심성 및 최근접이웃중심성에서 모두 'semantic web'이 가장 높은 것으로 나타났으며, 정부 정책의 공공데이터보다 데이터 연계와 관계 형성을 중점으로 한 연구가 많이 수행된 것으로 나타났다.

Keywords

Acknowledgement

이 논문은 2022학년도 경북대학교 신임교원 정착연구비에 의하여 연구되었음.

References

  1. Act on Promotion of the Provision And Use of Public Data. Act No. 19408.
  2. Choe, ChangSu (2018). Legislation of the european union, the united kingdom, and the united states for open public data, and required improvements for Korean laws. Journal of Hongik Law Review, 19(2), 473-497. https://doi.org/10.16960/jhlr.19.2.201806.473
  3. Ha, Seung Rok, Yim, Jin Hee, & Rieh, Hae-young (2017). A study on the procedure for constructing linked open data of records information by using open source tool. Journal of the Korean Society for Information Management, 34(1), 341-371. https://doi.org/10.3743/KOSIM.2017.34.1.341
  4. Ha, Seung-rok, An, Dae-Jin, & Yim, Jin-hee (2017). An experimental study on the automatic interlinking of meaning for the LOD construction of record information. Journal of Korean Society of Archives and Records Management, 17(4), 177-200. https://doi.org/10.14404/JKSARM.2017.17.4.177
  5. Kim, Gu (2017). An evaluation of public data opening policy: focused on public data portal. Public Policy Review, 31(2), 57-82. https://doi.org/10.17327/ippa.2017.31.2.003
  6. Lee, Hyun Jung & Nam, Young Joon (2014). A study on revitalizing the use of Korean public data: focused on linked open data strategy. Journal of the Korean Society for Information Management, 31(4), 249-266. https://doi.org/10.3743/KOSIM.2014.31.4.249
  7. Lee, Jae Yoon (2006). A study on the network generation methods for examining the intellectual structure of knowledge domains. Journal of the Korean Society for Library and Information Science, 40(2), 333-325.
  8. Lee, Jae Yoon (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. https://doi.org/10.3743/KOSIM.2013.30.4.241
  9. Lee, Sung Sook (2020). A study on the improvement plan of publishing in library linked open data. Journal of the Korean Society for Information Management, 37(2), 145-169. https://doi.org/10.3743/KOSIM.2020.37.2.145
  10. Lee, Sung Sook, Park, Zi Young, & Lee, Hye Won (2017). Expanding the scope of identifying and linking of personal information in linked data: focusing on the linked data of national library of Korea. Journal of the Korean Society for Information Management, 34(3), 117-141. https://doi.org/10.3743/KOSIM.2017.34.3.007
  11. National Information Society Agency (2015). Easy-to-understand Linked Open Data.
  12. Park, Jin Ho (2018). Developing an assessment model of library open data quality. Journal of the Korean Society for Information Management, 35(1), 33-59. https://doi.org/10.3743/KOSIM.2018.35.1.033
  13. Park, Joo Seok (2018). Comparative study of big data, open data, and my data. The Korea Journal of BigData, 3(1), 41-46. https://doi.org/10.36498/kbigdt.2018.3.1.41
  14. Shin, Ju Eun & Kim, Seong Hee (2021). A study on the intellectual structure of domestic open access area. Korean Society for Library and Information Science, 55(2), 147-178. https://doi.org/10.4275/KSLIS.2021.55.2.147
  15. Yoon, Sang Oh & Hyun, Ji Woo (2019). An analysis of open data policy in Korea: focused on national core data in open data portal. Korean Public Management Review, 33(1), 219-247. https://doi.org/10.24210/kapm.2019.33.1.010
  16. Yoon, So Young (2013a). A study on national linking system implementation based on linked data for public data. Journal of the Korean Society for Information Management, 30(1), 259-284. https://doi.org/10.3743/KOSIM.2013.30.1.259
  17. Yoon, So Young (2013b). A study on the implementation of korean history contents service based on linked open data. Journal of the Korean Society for Information Management, 30(3), 297-315. https://doi.org/10.3743/KOSIM.2013.30.3.297
  18. Branney, P. E., Brooks, J., Kilby, L., Newman, K., Norris, E., Pownall, M., Talbot, C. V., Treharne, G. J., & Whitaker, C. M. (2023). Three steps to open science for qualitative research in psychology. Social and Personality Psychology Compass, e12728. https://doi.org/10.1111/spc3.12728
  19. Braunschweig, K., Eberius, J., Thiele, M., & Lehner, W. (2012). The state of open data. limits of current open data platforms, categories and subject descriptors. In Conference Proceedings World Wide Web Conference, 1, 72-72.
  20. European Commission (2015). Creating Value through Open Data: Study on the Impact of Re-use of Public Data Resources. Publications Office. https://doi.org/10.2759/328101
  21. Zuiderwijk, A., Janssen, M., & Davis, C. (2014). Innovation with open data: essential elements of open data ecosystems. Information Polity, 19(1-2), 17-33. https://doi.org/10.3233/IP-140329