A Study on the Research Data Management Methods for the Condensed Matter Physics

응집물질물리분야 연구데이터 관리 방안 연구

  • 김성욱 (전북대학교 문헌정보학과) ;
  • 김선태 (전북대학교 문헌정보학과)
  • Received : 2020.08.23
  • Accepted : 2020.09.14
  • Published : 2020.09.30


In this study, we proposed a method to systematically manage research data in the field of condensed matter physics, which is the most active and interdisciplinary field. In the course of the research, a questionnaire was conducted for researchers in the field of condensed matter physics. The questionnaire was constructed based on the research data management tool Data Asset Framework (DAF) and the FAIR principle for data sharing and reuse. The current status of research data management in the field of aggregated material physics was collected from 14 researchers. The collected data consisted of data on the characteristics and basic information of researchers who answered the questionnaire, data preservation and management, and data sharing and access. By analyzing the collected questionnaire results, nine problems were drawn about the characteristics of research data in the field of aggregate material physics, data collection and production, data preservation and management, data sharing and access. In this study, suggestions were made to improve the problems derived from each aspect.

본 연구에서는 학제 간 연구가 가장 활발하고 응용가능성이 가장 높은 응집물질물리분야의 연구데이터를 체계적으로 관리하기 위한 개선방안을 제안하였다. 이를 위해 연구데이터 관리 도구인 Data Asset Framework (DAF)와 데이터 공유 및 재사용을 위한 FAIR원칙을 바탕으로 설문 내용을 구성하여 14명의 연구자를 대상으로 응집물질물리분야의 연구데이터 관리 현황을 수집하였다. 수집된 데이터는 설문에 응답한 연구자의 특성 및 기초정보, 데이터 보존 및 관리, 데이터 공유 및 접근에 관한 데이터로 구성되었다. 수집된 설문결과를 분석하여 응집물질물리분야의 연구데이터 특징과 데이터 수집과 생산, 데이터 보존과 관리, 데이터 공유 및 접근에 대한 9가지 문제점을 도출하였으며, 각 측면에서 도출된 문제점에 대한 개선방안을 제언하였다.



  1. Gang, Ju-yeon (2017). A study on the methods for biotechnology research data management. Master's degree thesis. The Graduate School of Chonbuk National University, Archive & Record Management.
  2. NST (2019). Research Data Management Guideline. SeJong: NST.
  3. Kim, Moon-jeong, & Kim, Seong-hee (2015). A study on the factors affecting sharing of research data of science and technology researchers. Journal of the Korean Society for Information Management, 49(2), 313-334.
  4. Kim, Sam-jin, Do, Yong-ju, Im, Sung-min, & Lee, Bong-woo (2018). Sae mulli 2017 annual report. physics & high technology, January/February, 23-26. Retrieved from
  5. Kim, Seong-hun, & Oh, Sam-G (2018). Key factors in the implementation of research data management services. Journal of the Korean Society for Information Management, 35(2), 141-165.
  6. Kim, Eun-Jeong (2012). Factor analysis of effects on research data collection. PhD thesis. The Graduate School of Chung-Ang University. Department of Records and Archives Management.
  7. Kim, Ju-seop, Kim, Sun-tae, & Choi, Sang-ki (2019). The functional requirements of core elements for research data management and service. Journal of the Korean Society for Library and Information Science, 53(3), 317-344.
  8. Kim, Ji-hyun (2014). A study on research data management services of research university libraries in the U.S.. Journal of the Korean Biblia Society for library and Information Science, 25(3), 165-189.
  9. 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.
  10. Park, Mi-young, Ahn, In-ja, & Kim, Jun-mo (2018). A study on use case of research data sharing in biotechnology. Journal of the Korean Biblia Society for library and Information Science, 29(1), 393-416.
  11. Park, Mi-young, Ahn, In-ja, & Nam, Seung-joo (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.
  12. Song, Baek-hwa (2018). Research on the sharing of research data in the field of chemistry. Master's degree thesis. The Graduate School of Chung-Ang University, Dept. of Library & Information Science.
  13. Shin, Eun-jung, An, Hyung-jun, Yang, Hyun-chae, Choi, Byung-sam, Yang, Seung-woo, Jung, Won-kyo, & Kim, Soo-yeon (2017). Policy measures to promote open science in south Korea. Policy Research, 1-194.
  14. Shim, Won-sik (2016). A case study of u.s. academic libraries' research data support services. Journal of the Korean Society for Library and Information Science, 50(4), 311-332.
  15. Choi, Myung-seok, Lee, Seung-Bock, & Lee, Sang-hwan (2017). Research data management of science and technology research institutes in Korea. The Journal of the Korea Contents Association, 17(12), 117-126.
  16. KISTI (2019). Research data management and utilization for government-funded research institutes in Korea. SeJong: NST.
  17. Condensed Matter Physics Division, Korea Physical Society (2012). Regulation of condensed matter physics division, Korea Physical Society Corporation. Retrieved from
  18. Condensed Matter Physics Division, Korea Physical Society (2019). Subcommittee chairman's introductory remark. Retrieved from
  19. Korea Physical Society(KSP) (2017). subcommittee. Retrieved from
  20. Allen, R., & Hartland, D. (2018). FAIR in practice-Jisc report on the findable accessible interoperable and reuseable data principles. JISC: Bristol, UK.
  21. ANDS (2017). ANDS guide: What is research data. Retrieved from
  22. APCTP (2017). Greetings. Retrieved from
  23. APCTP (n.d.). Call for programs. Retrieved from
  24. APCTP (n.d.). Publications. Retrieved from
  25. Australian Research Data Commons (n.d.). FAIR self assessment tool. Retrieved from
  26. Buys, C. M., & Shaw, P. L. (2015). Data management practices across an institution: Survey and report. Journal of Librarianship & Scholarly Communication, 3(2), 1225.
  27. Curty, R. G., Crowston, K., Specht, A., Grant, B. W., & Dalton, E. D. (2017). Attitudes and norms affecting scientists' data reuse. PloS one, 12(12).
  28. CXRO (2019). The center for X-Ray optics. Retrieved from
  29. DAF (n.d.). Four steps to effective data management. Retrieved from
  30. DataONE (n.d.). .Data life cycle. Retrieved from
  31. DCC (2010). DMPonline. Retrieved from
  32. Ekmekcioglu, C., Rice, R., Jerrome, N., Breeze, J., Grace, S., ... & Searle, S. (2009). Implementation guide. Retrived from
  33. Fecher, B., Friesike, S., Hebing, M., Linek, S., & Sauermann, A. (2015). A reputation economy: Results from an empirical survey on academic data sharing.
  34. FORCE11 (n.d.). The FAIR data principles. FORCE11. Retrieved from
  35. Hinnant, C. C., Stvilia, B., Wu, S., Worrall, A., Burnett, K., Burnett, G., ... & Marty, P. F. (2012). Data curation in scientific teams: An exploratory study of condensed matter physics at a national science lab. In Proceedings of the 2012 iConference, 498-500.
  36. Houtkoop, B. L., Chambers, C., Macleod, M., Bishop, D. V., Nichols, T. E., & Wagenmakers, E. J. (2018). Data sharing in psychology: A survey on barriers and preconditions. Advances in methods and practices in psychological science, 1(1), 70-85.
  37. IBS (2019). Papers. Retrieved from
  38. IBS (2019). Vision and Goal. Retrieved from
  39. IBS (2019). Patents. Retrieved from
  40. IOP (n.d.). 科硏部門. Retrieved from
  41. IOP (n.d.). 科硏成果. Retrieved from
  42. IOP (n.d.). 本館槪況, 中國科學院物理硏究所圖書館. Retrieved from
  43. IOP (n.d.). 中國科學院物理硏究所簡介. Retrieved from
  44. IOP (n.d.). Resources. Institute of Physics Chinese Academy of Sciences. Retrieved from
  45. JKU (n.d.). Institute of Semiconductor and Solid State Physics. Retrieved from
  46. JKU (n.d.). Semiconductor Physics Division. Retrieved from
  47. JKU (n.d.). Solid State Physics Division. Retrieved from
  48. Ju, B., & Kim, Y. (2019). The formation of research ethics for data sharing by biological scientists: An empirical analysis. Aslib Journal of Information Management. 71(5), 583-600.
  49. KIAS (2011). About the Institute. Retrieved from
  50. KIAS (n.d.). Publications. Retrieved from
  51. KIAS (n.d.). Library. Retrieved from
  52. KIAS (n.d.). Public Events. Retrieved from
  53. KIAS (n.d.). Mission & History. Retrieved from
  54. KIAS (n.d.). Centers & Programs. Retrieved from
  55. Nagaraj, M. N., & Bhandi, M. K. (2017). Physics researchers' perception of advantages and disadvantages of open access journals: A study. International Journal of Library and Information Studies, 7(1), 132.
  56. NDSL (2008). Prospects for the unexplored field of condensed matter physics. Retrieved from
  57. NIST (2009). About PML. Retrieved from
  58. NIST (2019). Divisions. Retrieved from
  59. re3data (2017). NIST Physical reference data. Retrieved from
  60. re3data (2018). JKU Magnetic Oxides Data Repository. Retrieved from
  61. re3data (2019). X-Ray Database. Retrieved from
  62. re3data (n.d.). About. Retrieved from
  63. re3data (n.d.). condensed matter physics. Retrieved from
  64. re3data (n.d.). German Research Foundation to fund new services of re3data. Retrieved from
  65. Stvilia, B., Hinnant, C. C., Wu, S., Worrall, A., Lee, D. J., Burnett, K., ... & Marty, P. F. (2015). Research project tasks, data, and perceptions of data quality in a condensed matter physics community. Journal of the Association for Information Science and Technology, 66(2), 246-263.
  66. University of Colorado (n.d.). Condensed matter physics. Retrieved from
  67. Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., ... & Bouwman, J. (2016). The FAIR guiding principles for scientific data management and stewardship. Scientific Data, 3.