한국도서관·정보학회지 (Journal of Korean Library and Information Science Society)

한국도서관·정보학회 (Korean Library and Information Science Society)
권호 표지
DOI QR코드

DOI QR Code

책임 있는 연구데이터 관리를 위한 CARE 기반 거버넌스 모델 설계

Designing a CARE-based Governance Model For Responsible Research Data Management

  • 금효진 (전북대학교 기록관리학과) ;
  • 김주섭 (전북대학교 문헌정보학과, 연구데이터융복합연구소)
  • 투고 : 2025.05.25
  • 심사 : 2025.06.09
  • 발행 : 2025.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

연구데이터 관리의 기존 원칙으로 주목받은 FAIR 원칙은 데이터의 활용성을 기술적 측면에서 보장할 수 있으나, 데이터 수집 및 활용 과정에서 책임성과 윤리적 가치를 소홀히 한다는 한계가 있다. 이에 본 연구는 데이터 제공 주체의 권리와 공동체 기반의 윤리적 책임을 강조하는 CARE 원칙의 관점을 도입하고, FAIR 원칙과 CARE 원칙 간의 상호보완적 관계를 바탕으로 통합형 연구데이터 관리 거버넌스 모델을 설계하고자 하였다. 이를 위해 Open Context, Local Contexts, Te Mana Raraunga, Tribal Research Codes 등 CARE 원칙의 국제적 실천 사례를 조사하고, 각 사례의 주요 특성을 분석하여 연구데이터 관리 체계에 적용 가능한 시사점을 도출하였다. 본 연구에서 제안한 통합형 거버넌스 모델은 연구데이터의 수집, 저장, 공유, 재사용 전 과정에서 공동체의 권리와 자율성을 보호하고, 문화적 다양성과 윤리적 가치를 반영함으로써 책임 있는 데이터 활용을 가능하게 한다는 점에서 의의를 지닌다.

The FAIR principle, widely recognized as a foundational guideline for research data management, ensures the technical usability of data but has limitations in addressing responsibility and ethical considerations in the processes of data collection and utilization. To overcome these limitations, this study introduces the CARE principle, which emphasizes the rights of data providers and community-based ethical responsibility. Based on the complementary relationship between the FAIR and CARE principles, an integrated research data management governance model is proposed. To this end, international implementation cases of the CARE principle-such as Open Context, Local Contexts, Te Mana Raraunga, and Tribal Research Codes-were examined to derive practical implications applicable to research data management systems. The proposed integrated governance model is meaningful in that it safeguards community rights and autonomy throughout the entire research data lifecycle, including collection, storage, sharing, and reuse, while promoting responsible data use that respects cultural diversity and ethical values.

키워드

참고문헌

  1. Carroll, S. R. & Anderson, J. (2020). Operationalizing the CARE Principles for Indigenous Data Governance Webinar. OCLC. Available: https://nnigovernance.arizona.edu/operationalizing-care-principles-indigenous-data-governance-webinar
  2. Carroll, S. R., Garba, I., Figueroa-Rodríguez, O. L., Holbrook, J., Lovett, R., Materechera, S., Hudson, M., Nelson, T., Tsinhnahjinnie, C., & Martinez, A. (2021). Operationalizing the CARE and FAIR Principles for Indigenous data governance. Scientific Data, 8, Article 1. https://doi.org/10.1038/s41597-021-00892-0
  3. Carroll, S. R., Garba, I., Figueroa-Rodríguez, O.L., Holbrook, J., Lovett, R., Materechera, S., Parsons, M., Raseroka, K., Rodriguez-Lonebear, D., Rowe, R., Sara, R., Walker, J.D., Anderson, J., & Hudson, M. (2020). The care principles for indigenous data governance. Data Science Journal, 19(1), 43. https://doi.org/10.5334/dsj-2020-043.
  4. Carroll, S. R., Garba, I., Plevel, R., Small-Rodriguez, D., Hiratsuka, V. Y., Hudson, M., & Garrison, N. A. (2022a). Using indigenous standards to implement the care principles: setting expectations through tribal research codes. Frontiers in genetics, 13, 823309. https://doi.org/10.3389/fgene.2022.823309
  5. Carroll, S. R., Plevel, R., Jennings, L. L., Garba, I., Sterling, R., Cordova-Marks, F. M., Hiratsuka, V., Hudson, M., & Garrison, N. A. (2022b). Extending the care principles from tribal research policies to benefit sharing in genomic research. Frontiers in genetics, 13, 1052620. https://doi.org/10.3389/fgene.2022.1052620
  6. FORCE11 (2020). The FAIR data principles. FORCE11. Available: https://www.force11.org/group/fairgroup/fairprinciples
  7. Global Indigenous Data Alliance (2019). CARE principles for indigenous data governance. The Global Indigenous Data Alliance. Available: GIDA-global.org
  8. Global Indigenous Data Alliance (2022). Indigenous Data Sovereignty and Governance. The Global Indigenous Data Alliance. Available: GIDA-global.org
  9. Jennings, L., Anderson, T., Martinez, A., Sterling, R., Chavez, D. D., Garba, I., Hudsom, M., Garrison, N' A., & Carroll, S. R. (2023). Applying the 'care principles for indigenous data governance' to ecology and biodiversity research. Nat Ecol Evol, 7, 1547-1551. https://doi.org/10.1038/s41559-023-02161-2
  10. Kansa, E. C., Schultz, J., & Bissell, A. N. (2005). Protecting traditional knowledge and expanding access to scientific data: juxtaposing intellectual property agendas via a "some rights reserved" model. International Journal of Cultural Property, 12(3), 285-314. https://doi.org/10.1017/S0940739105050204
  11. Kukutai, T. & Taylor, J. (2016). Indigenous Data Sovereignty: Toward An Agenda. Canberra: ANU Press. https://doi.org/10.22459/CAEPR38.11.2016
  12. UNESCO (2021). UNESCO recommendation on open science. United Nations Educational, Scientific and Cultural Organization. Available: https://unesdoc.unesco.org/ark:/48223/pf0000379949
  13. Wilkinson, M., Dumontier, M., Aalbersberg, I. Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J., Santos, L., Bourne, P., Bouwman, J., Brookes, A., Clark, T., Crosas, M., Dillo,I., Dumon, O., Edmunds, S., Evelo, C., Finkers, R., Gonzalez-Beltran, A., Gray, A., Groth, P., Goble, C., Grethe, J., Heringa, J., Hoen, P., Hooft, R., Kuhn, T.. Kok, R., Kok, J., Lusher, S., Martone, M., Mons, A., Packer, A., Persson, B., Rocca-Serra, P., Roos, M., Schaik, R., Sansone, S., Schultes, E., Sengstag, T., Slater, T., Strawn, G., Swertz, M., 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. Sci Data 3. 160018. https://doi.org/101038/sdata.2016.18 101038/sdata.2016.18