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A Study on the Researchers' Needs for Open Research Commons

개방형 연구 커먼즈에 대한 연구자 요구 분석에 관한 연구

  • 심원식 (성균관대학교 문헌정보학과) ;
  • 안혜연 (성균관대학교 문헌정보학과) ;
  • 박규리 (성균관대학교 문헌정보학과) ;
  • 송사광 (한국과학기술정보연구원, UST 응용AI학과) ;
  • 임형준 (한국과학기술정보연구원)
  • Received : 2023.10.22
  • Accepted : 2023.11.10
  • Published : 2023.11.30

Abstract

In order to embrace open research commons, this study looked at the requirements that researchers have for research data platforms. A survey questionnaire was developed using the results of Australian ARDC and European EOSC case studies. The questionnaire addressed five main areas: the need for research data commons, analysis tools, computing resources, consumption of research data, and general respondent characteristics. To determine the requirements for research data platforms, an analysis was conducted on the responses provided by 550 potential platform users. The findings demonstrated that more than 85% of participants concurred on the significance of open research commons. Additionally, there was a high willingness to use research data (77%), analysis tools (84%), share research data (92%), analysis tools (93%), and computing resources (93%) if commons services were provided. The results of this study show that there is a significant demand for open research commons among researchers. Discussions on research data commons are still hard to come by in Korea's research data services sector, though. Research on a range of subjects, such as subject areas, stakeholder characteristics, and real users of commons platforms, need be conducted in the future.

본 연구의 목적은 개방형 연구 커먼즈(Open Research Commons)의 구현을 위하여 연구데이터 플랫폼에 대한 연구자 요구를 분석하는 것이다. 설문은 대표적인 연구데이터 커먼즈라 할 수 있는 유럽 EOSC와 호주 ARDC의 플랫폼 서비스 사례를 분석하여 도출한 주요 서비스 내용을 참고하여 설계하였다. 설문지는 크게 5개 영역(응답자 일반적 특성, 연구데이터·분석도구·컴퓨팅 자원의 활용 및 연구데이터 커먼즈의 필요)으로 구성하였다. 연구데이터 플랫폼에 대한 요구를 분석하기 위하여 관련 플랫폼을 통해 잠재적 이용자 550명이 완료한 응답을 분석하였다. 그 결과, 응답자의 약 85%가 연구데이터 커먼즈의 필요성에 동의하였으며, 커먼즈 서비스가 제공되면 이를 통하여 본인의 연구데이터(약 77%)와 분석도구(약 84%)를 공유하고자 하는 의향과 공유된 연구데이터(약 92%)나 분석도구(약 93%), 컴퓨팅 자원(약 93%)을 활용하고자 하는 의향이 나타났다. 즉 많은 연구자들이 개방형 연구 커먼즈에 대한 요구가 매우 높은 것이라 이해할 수 있다. 그러나 국내 연구데이터 서비스 분야에 있어 커먼즈에 대한 논의는 아직 생소한 것으로, 향후 주제분야, 이해관계자 특성, 커먼즈 플랫폼의 실질적 이용자 등을 다양한 측면에서의 연구가 이루어져야 할 것이다.

Keywords

Acknowledgement

이 논문은 2023년도 한국과학기술정보연구원(KISTI)의 기본사업으로 수행된 연구임(과제번호: (KISTI)K-23-L01-C03-S01, (NTIS)1711198423).

References

  1. Ahn, Saerom (2020). Commons as transition discourse: a conceptual basis for the study on atmosphere as commons. ECO, 24(1), 333-370. http://www.doi.or.kr/10.22734/ECO.24.1.202006.009
  2. Hwang, Mi-Nyeong, Park, Sang Bae, Shin, Young-Ho, Shin, Sungho, & Seo, Dongmin (2023). DataON service operation for research data sharing, management and analysis. Journal of the Korea Contents Association, 23(1), 36-47. http://doi.org/10.5392/JKCA.2023.23.01.036
  3. Kim, Ji Hyun (2015). A study on the perceptions of university researchers on data management and sharing. Journal of the Korean Society for Library and Information Science, 49(3), 413-436. http://doi.org/10.4275/KSLIS.2015.49.3.413
  4. Kim, Suntae, Lee, Jeonghoon, & Jung, Hanmin (2017). Understanding and Managing Research Data. Daejeon: Korea Institute of Science and Technology Information.
  5. Korean Ministry of Science and ICT (2023, September 27). Notice of legislative proposal for the Act on Promotion of Management and Use of National Research Data. Notification No. 2023-0890.
  6. Lee, Sanghwan (2019). Research Data Management Status of Science and Technology Research Institutes in Korea (2018-09). Korea Institute of Science and Technology Information.
  7. Park, Miyoung, Ahn, Inja, & Nam, Seungjoo (2018). A study on the analysis of research data management and sharing of science & technology government-funded research institutes. Journal of the Korean Biblia Society for Library and Information Science, 29(4), 319-344. https://doi.org/10.14699/kbiblia.2018.29.4.319
  8. Shim, Wonsik (2021). Strategic Planning for the Development of Korea Research Data Cloud (K-21-L01-C04). Korea Institute of Science and Technology Information.
  9. Shin, Eunjung & Jung, Wonkyo (2017). Diffusion and Implications of Open Science Policies (STEI Insight 216). Science & Technology Policy Institute.
  10. Song, Sa-kwang, Cho, Minhee, Lee, Mikyoung, Kim, Dasol, Park, Seongeun, Lee, Sangbaek, & Yim, Hyung-Jun (2023). A study on the research data commons framework for computing resource sharing and utilization. In Proceedings of the 2023 Spring Joint Conference of the Korean Operations Research and Management Science Society, 1305-1314.
  11. Yoo, Sarah (2019). Reconsideration of research framework for RRM in the perspective of linked open data. Journal of the Korean Society for Library and Information Science, 53(3), 101-120. https://doi.org/10.4275/KSLIS.2019.53.3.101
  12. Beagle, D. (1999). Conceptualizing an information commons. Journal of Academic Librarianship, 25(2), 82-89. https://doi.org/10.1016/S0099-1333(99)80003-2
  13. BOAI(Budapest Open Access Initiative) (2002). Read the Declaration. Available: https://www.budapestopenaccessinitiative.org/read/
  14. Bourne, P. E., Bonazzi, V., Brand, A., Carroll, B., Foster, I., Guha, R. V., Hanisch, R., Keller, S. A., Kennedy, M. L., Kirkpatrick, C., Mons, B., Nusser, S. M., Stebbins, M., Strawn, G., & Szaly, A. (2022). Playing catch-up in building an open research commons. Science, 377(6603), 256-258. https://doi.org/10.1126/science.abo5947
  15. Bryant, R., Lavoie, B., & Malpas, C. (2017). The Realities of Research Data Management: Part Two: Scoping the University RDM Service Bundle. OCLC. http://doi.org/10.25333/C3Z039
  16. Cox, A. M., Kennan, M. A., Lyon, L., Pinfield, S., & Sbaffi, L. (2019). Maturing research data services and the transformation of academic libraries. Journal of Documentation, 75(6), 1432-1462. https://doi.org/10.1108/JD-12-2018-0211
  17. Grossman, R. L. (2019). Data lakes, clouds, and commons: a review of platforms for analyzing and sharing genomic data. Trends in Genetics, 35(3), 223-234. https://doi.org/https://doi.org/10.1016/j.tig.2018.12.006
  18. Sheikh, A., Malik, A., & Adnan, R. (2023). Evolution of research data management in academic libraries: a review of the literature. Information Development. https://doi.org/10.1177/02666669231157405
  19. UNESCO (2021). UNESCO Recommendation on Open Science. https://doi.org/10.54677/MNMH8546
  20. Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G. A., Axton, M., Baak, A., Blomberg, N., Boiten, J., Santos, L. B. S., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., Gonzalez-Beltran, A., Gray, A. J. G., Groth, P., Goble, C., Grethe, J. S., Heringa, J., Hoen, P. A. C., Hooft, R., Kuhn, T., Kok, R., Kok, J., Lusher, S. J., Martone, M. E., Mons, A., Packer, A. L., Persson, B., Rocca-Serra, P., Roos, M., Schaik, R., Sansone, S., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz, M. A., Thompson, M., Lei, J., Mulligen, E., Velterop, J., Waagmeester, A., Wittenburg, P., Wolstencroft, K., Zhao, J., & Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 1-9. https://doi.org/10.1038/sdata.2016.18