DOI QR코드

DOI QR Code

Proposal of a Conceptual Model for Research Data Curation based on Activity Theory

활동이론을 중심으로 한 연구데이터 큐레이션 개념 모델 제안

  • 한나은 (한국과학기술정보연구원(KISTI))
  • Received : 2023.02.20
  • Accepted : 2023.03.16
  • Published : 2023.03.30

Abstract

This study is a literature study that analyzed the research data curation models using activity theory as a theoretical framework. Based on the factors of the activity used in the activity theory, this study analyzed various research data curation models, as well as issues that needed discussion in the library field in carrying out research data curation activities. And based on this, a new research data curation conceptual model was proposed. This study analyzed how the five previously proposed digital curation lifecycle models are configured, and analyzed the actions presented sporadically in each model. A new research data curation conceptual model was proposed by analyzing factors, extracting common factors and integrating them into a new model. In addition, six issues to be considered in carrying out research data curation activities in libraries and repositories were analyzed and discussed. The research data curation conceptual model proposed in this study consists of a total of 10 steps, and it contains practical issues and contradictions to consider at each stage of activity.

본 연구는 활동이론을 이론적 틀로 활용하여 연구데이터 큐레이션 모델을 분석한 문헌 연구로, 활동이론에서 사용하는 활동의 구성 요소들을 바탕으로 여러 연구데이터 큐레이션 모델을 분석했을 뿐만 아니라 연구데이터 큐레이션 활동을 수행하는데 있어서 도서관계에서 논의가 필요한 현안을 분석하였다. 그리고 이를 기반으로 새로운 연구데이터 큐레이션 개념 모델을 제안하였다. 본 연구는 기존에 제안된 5개의 디지털 큐레이션 생애주기모델이 어떻게 구성되어 있는지 분석하고 각각의 모델에서 산발적으로 제시되는 활동요인들을 분석하여 공통요인을 추출하고 새로운 모델로 통합하여 새로운 연구데이터 큐레이션 개념 모델을 제안하였다. 또한, 도서관 및 리포지토리에서 연구데이터 큐레이션 활동을 수행함에 있어서 고려해야 할 6가지의 현안들을 분석하고 논의하였다. 본 연구에서 제안되는 연구데이터 큐레이션 개념 모델은 총 10단계로 이루어져 있으며, 각 활동의 단계에서 고려해야 할 실천적 문제와 모순을 포함하고 있다.

Keywords

References

  1. Framework Act on Science and Technology. No. 18727.
  2. Kim, Ji Hyun (2012). A study on university researchers' data management practices. Journal of Korean Library and Information Science Society, 43(3), 433-455. https://doi.org/10.16981/kliss.43.3.201209.433
  3. National Research and Development Innovation Act. No. 18645.
  4. National Research Council of Science and Technology (2019). Research Data Management Guidelines (2019-07).
  5. Abowd, J. M. & Lane, J. (2004, June). New approaches to confidentiality protection: Synthetic data, remote access and research data centers. In International Workshop on Privacy in Statistical Databases. Springer, Berlin, Heidelberg, 282-289.
  6. Bailey, C. W. (2013). Research data curation bibliography. Digital Scholarship.
  7. Ball, A. (2012). Review of data management lifecycle models. University of Bath, IDMRC.
  8. Borgman, C. L. (2012). The conundrum of sharing research data. Journal of the American Society for Information Science and Technology, 63(6), 1059-1078. https://doi.org/10.1002/asi.22634
  9. Burton, A. & Treloar, A. (2009). Designing for discovery and re-use: the 'ANDS data sharing verbs' approach to service decomposition. International Journal of Digital Curation, 4(3), 44-56. https://doi.org/10.2218/ijdc.v4i3.124
  10. Constantopoulos, P., Dallas, C., Androutsopoulos, I., Angelis, S., Deligiannakis, A., Gavrilis, D., … & Papatheodorou, C. (2009). DCC&U: An extended digital curation lifecycle model. International Journal of Digital Curation, 4(1), 34-45. https://doi.org/10.2218/ijdc.v4i1.76
  11. Davis, P. M. & Connolly, M. J. (2007). Institutional repositories: evaluating the reasons for non-use of Cornell University's installation of DSpace.
  12. Engestrom, Y. (1987). Learning by Expanding. Cambridge University Press.
  13. Engestrom, Y. (2001). Expansive learning at work: toward an activity theoretical reconceptualization. Journal of Education and Work, 14(1), 133-156. https://doi.org/10.1080/13639080020028747
  14. Faniel, I. M. & Zimmerman, A. (2011). Beyond the data deluge: a research agenda for large-scale data sharing and reuse. International Journal of Digital Curation, 6(1), 58-69. https://doi.org/10.2218/ijdc.v6i1.172
  15. Fulton, B., Botticelli, P., & Bradley, J. (2011). DigIn: a hands-on approach to a digital curation curriculum for professional development. Journal of Education for Library and Information Science, 95-109.
  16. Godby, C. J. & Denenberg, R. (2015). Common Ground: Exploring Compatibilities between the Linked Data Models of the Library of Congress and OCLC. OCLC Online Computer Library Center, Dublin.
  17. Harvey, R. (2007). Appraisal and selection. Curation Reference Manual. Digital Curation Centre.
  18. Higgins, S. (2008). The DCC curation lifecycle model. International Journal of Digital Curation, 3(1), 134-140. https://doi.org/10.2218/ijdc.v3i1.48
  19. Houghton, B. (2016). Preservation challenges in the digital age. D-lib Magazine, 22(7/8), 1-6. https://doi.org/10.1045/july2016-houghton
  20. Johnston, L. (2017). Curating Research Data: A Handbook of Current Practice. Chicago: Association of College and Research Libraries.
  21. Kaptelinin, V. (2005). The object of activity: making sense of the sense-maker. Mind, Culture, and Activity, 12(1), 4-18. https://doi.org/10.1207/s15327884mca1201_2
  22. Kaptelinin, V. & Nardi, B. (2012). Activity theory in HCI: fundamentals and reflections. Synthesis Lectures Human-Centered Informatics, 5(1), 1-105. https://doi.org/10.1007/978-3-031-02196-1
  23. Lee, C. A. (2010). Open archival information system (OAIS) reference model. Encyclopedia of Library and Information Sciences, 4020-4030.
  24. Leont'ev, A. (1978). Activity, consciousness, and personality. Englewood Cliffs, New Jersey.
  25. Lompscher, J. (2006). The cultural-historical activity theory: some aspects of development. Critical Perspectives on Activity: Explorations across Education, Work, and Everyday Life, 35-51.
  26. Michener, W. K. & Jones, M. B. (2012). Ecoinformatics: supporting ecology as a data-intensive science. Trends in Ecology & Evolution, 27(2), 85-93. https://doi.org/10.1016/j.tree.2011.11.016
  27. Pennock, M. (2007). Digital curation: a life-cycle approach to managing and preserving usable digital information. Library & Archives, 1, 34-45.
  28. Pouchard, L. (2015). Revisiting the data lifecycle with big data curation. International Journal of Digital Curation, 10(2), 176-192. https://doi.org/10.2218/ijdc.v10i2.342
  29. Sheldon, M. (2013). Analysis of current digital Preservation Policies. Archives, Libraries and Museums. [pdf] Available: http://www.digitalpreservation.gov/documents/Analysis%20of%20Current,20
  30. Steinhart, G., Saylor, J., Albert, P., Alpi, K., Baxter, P., Brown, E., ... & Lowe, B. (2008). Digital research data curation: Overview of issues, current activities, and opportunities for the Cornell University Library. A report of the CUL Data Working Group.
  31. Tammaro, A. M., Ross, S., & Casarosa, V. (2014). Research data curator: the competencies gap. BOBCATSSS 2014 Proceedings, 1(1), 95-100.
  32. Tolle, K. M., Tansley, D. S. W., & Hey, A. J. (2011). The fourth paradigm: data-intensive scientific discovery [point of view]. Proceedings of the IEEE, 99(8), 1334-1337. https://doi.org/10.1109/JPROC.2011.2155130
  33. Vardigan, M., Heus, P., & Thomas, W. (2008). Data documentation initiative: toward a standard for the social sciences. International Journal of Digital Curation, 3(1), 107-113. https://doi.org/10.2218/ijdc.v3i1.45
  34. Vygotsky, L. S. (1962). Thought and Word. Cambridge, MA: MIT Press.