DOI QR코드

DOI QR Code

The Current State and Recommendations for Data Citation

데이터 인용의 현황과 제언

  • 김지현 (이화여자대학교 사회과학대학 문헌정보학전공) ;
  • 정은경 (이화여자대학교 사회과학대학 문헌정보학전공) ;
  • 윤정원 ;
  • 이재윤 (명지대학교 인문대학 문헌정보학과)
  • Received : 2016.12.05
  • Accepted : 2017.03.15
  • Published : 2017.03.30

Abstract

Data citation remains in its infancy, although providing the citation to a journal article is a typical norm in an academic community. This study examines the need for data citation, its principles and guidelines for improving the issue. In addition, the study investigates cases that established data citation mechanism, including DataCite, Dataverse Network and Data Citation Index that define elements of data citation and provide relevant services. At the end, it explores the current state of data citation in Korea through the analysis of citations to dataset from Korean General Social Survey.

학술 커뮤니티 내에서 논문의 인용은 보편적인 규범으로 자리 잡은 데 비해 데이터의 인용은 아직 초보적인 단계에 머물러 있다. 이를 개선하기 위해 제기되고 있는 데이터 인용의 필요성 및 원칙과 가이드라인에 대해서 살펴보았다. 또한 데이터 인용체계 구축 사례에서는 데이터 인용 요소들을 정의하고 서비스를 제공하는 DataCite, Dataverse Network, Data Citation Index 사례를 중심으로 살펴보았다. 마지막으로 한국종합사회조사 데이터 인용 분석을 통해 국내 데이터세트 인용/이용 정보 제공 실태를 조사하였다.

Keywords

References

  1. 기초학문자료센터 홈페이지 (n.d.). Retrieved from http://www.krm.or.kr/ (Korean Research Memory Homepage (n.d.). Retrieved from https://www.krm.or.kr/ )
  2. 김상욱, 고동우, 고지영, 김석호, 김재은, 남은영, ...최유정 (2007). 한국종합사회조사 2007. 서울: 성균관대학교 출판부. (Kim, Sangwook, Ko, Dong-Woo, Ko, Jee-Young, Kim, Seokho, Kim, Jae Eun, Nam, Eun Young, … Choi, Yu-Jung (2007). Korean General Social Survey 2007. Seoul: Sungkyunkwan University Press. )
  3. 김솔이, 김하영, 이연희, 한수진, 이가현, 현리정, ...김지범 (공편) (2016). 한국종합사회조사 이용 문헌자료집. Retrieved fromhttp://kgss.skku.edu/wp-content/uploads/2016/06/Bib-최종290616.pdf (Kim, S., Kim, H., Lee, Y., Han, S., Lee, G., Hyun, L., … Kim, J. (Ed.) (2016). Literature list using KGSS dataset. Retrieved from http://kgss.skku.edu/wp-content/uploads/2016/06/Bib-최종290616.pdf )
  4. 신영란, 정연경 (2012). 국내 인문사회 연구데이터 아카이브의 개선방안에 관한 연구. 한국기록관리학회지, 12(3), 93-115. (Shin, Young-Ran, & Chung, Yeon-Kyoung (2012). A study on the improvement plans of the humanities and social sciences research data archives in Korea. Journal of Records Management & Archives Society of Korea, 12(3), 93-115.)
  5. 심원식, 안혜연, 변제연 (2015). 인문학 분야 연구데이터의 수집 및 활용성 증진을 위한 전략 연구:기초학문자료센터를 중심으로. 한국문헌정보학회지, 49(3), 155-183.http://doi.org/10.4275/KSLIS.2015.49.3.155 (Shim, Wonsik, Ahn, Hye-yeon, & Byun, Jeayeon (2015). Strategies for improving the collection and use of research data in the humanities. Journal of the Korean Society for Library and Information Science, 49(3), 155-183. http://dx.doi.org/10.4275/KSLIS.2015.49.3.155 )
  6. 조재인 (2016). Data Citation Index를 기반으로 한 연구데이터 인용에 관한 연구. 한국문헌정보학회지,50(1), 189-207. http://doi.org/10.4275/KSLIS.2016.50.1.189 (Cho, Jane (2016). Study about research data citation based on DCI (Data Citation Index). Journal of the Korea Society for Library and Information Science, 50(1), 189-207. http://doi.org/10.4275/KSLIS.2016.50.1.189 )
  7. 한국사회과학자료원 홈페이지 (n.d.). Retrieved from http://www.kossda.or.kr/ (Korea Social Science Data Archive Homepage (n.d.). Retrieved from http://www.kossda.or.kr/ )
  8. 한국학술지인용색인 홈페이지 (n.d.). Retrieved from http://www.kci.go.kr/ (Korea Citation Index Homapage (n.d.). Retrieved from http://www.kci.go.kr/)
  9. Appleton, A. (2008). The Dataverse Network Project: A new architecture for data citation and data-sharing. French Politics, 6(2), 178-186. http://link.springer.com/article/10.1057/fp.2008.7
  10. Arend, D., Junker, A., Scholz, U., Schuler, D., Wylie, J., & Lange, M. (2016). PGP repository: A plant phenomics and genomics data publication infrastructure. Database, baw033. https://doi.org/10.1093/database/baw033
  11. Arend, D., Lange, M., Chen, J., Colmsee, C., Flemming, S., Hecht, D., & Scholz, U. (2014). e!DAL: A framework to store, share and publish research data. BMC bioinformatics, 15(1), 214. http://doi.org/10.1186/1471-2105-15-214
  12. Ball, A., & Duke, M. (2015). How to cite datasets and link to publications. Digital Curation Centre, 1-15. Retrieved from http://www.dcc.ac.uk/webfm_send/525
  13. Brase, J. (2009). Datacite: A global registration agency for research data. Proceedings of the 4th Cooperation and Promotion of Information Resources in Science and Technology, 257-261. https://doi.org/10.1109/coinfo.2009.66
  14. Brase, J., Lautenschlager, M., & Sens, I. (2015). The tenth anniversary of assigning DOI names to scientific data and a five year history of DataCite. D-Lib magazine, 21(1/2), 10. http://doi.org/10.1045/january2015-brase
  15. Callaghan, S. (2014). Preserving the integrity of the scientific record: Data citation and linking. Learned Publishing, 27(5), 15-24. http://doi.org/10.1087/20140504
  16. Chao, T. C. (2011). Disciplinary reach: Investigating the impact of dataset reuse in the earth sciences. Proceedings of the American Society for Information Science and Technology, 48(1), 1-8. http://doi.org/10.1002/meet.2011.14504801125
  17. Clarivate Analytics (n.d.). The Data Citation Index: Connecting the data to the research it informs. Retrieved from http://wokinfo.com/products_tools/multidisciplinary/dci/
  18. CODATA-ICSTI Task Group on Data Citation Standards and Practices (2013). Out of cite, out of mind: The current state of practice, policy, and technology for the citation of data. Data Science Journal, 12, CIDCR1-CIDCR75. Retrieved from https://www.jstage.jst.go.jp/article/dsj/12/0/12_OSOM13-043/_article
  19. Crosas, M. (2011). The dataverse network$^{(R)}$: An open-source application for sharing, discovering and preserving data. D-lib Magazine, 17(1/2). http://doi.org/10.1045/january2011-crosas
  20. Crosas, M. (2013). A data sharing story. Journal of eScience Librarianship, 1(3), e1020. http://doi.org/10.7191/jeslib.2012.1020
  21. Data Citation Synthesis Group (2014). Joint declaration of data citation principles. In Martone, M. (Ed.). San Diego, CA: FORCE11. Retrieved from https://www.force11.org/datacitation/
  22. Dataverse.org (2016). The dataverse project. Retrieved from http://dataverse.org/
  23. Dragan, L., Luczak-Rosch, M., Berendt, B., Simperl, E., Packer, H., & Moureau, L. (2015). A-posteriori provenance-enabled linking of publications and datasets via crowdsourcing. D-Lib Magazine, 21(1/2). http://doi.org/10.1045/january2015-dragan
  24. FORCE11 (2016). About FORCE 11. Retrieved from https://www.force11.org/about
  25. Helbig, K., Hausstein, B., & Toepfer, R. (2015). Supporting data citation: Experiences and best practices of a DOI allocation agency for social sciences. Journal of Librarianship and Scholarly Communication, 3(2), eP1220. http://doi.org/10.7710/2162-3309.1220
  26. Hoogerwerf, M., Losch, M., Schirrwagen, J., Callaghan, S., Manghi, P., Iatropoulou, K., … & Rettberg, N. (2013). Linking data and publications: Towards a cross-disciplinary approach. International Journal of Digital Curation, 8(1), 244-254. http://doi.org/10.2218/ijdc.v8i1.257
  27. King, G. (2007). An introduction to the Dataverse Network as an infrastructure for data sharing. Sociological Methods & Research, 36(2), 173-199. https://doi.org/10.1177/0049124107306660
  28. Kotarski, R., Reilly, S., Schrimpf, S., Smit, E., & Walshe, K. (2012). Best practices for citability of data and evolving roles in scholarly communication. Geneva: Opportunities for Data Exchange. Retrieved from https://core.ac.uk/download/files/324/30437756.pdf
  29. Leeper, T. J. (2014). Archiving reproducible research with R and Dataverse. The R Journal, 6(1), 151-158. Retrieved from http://journal.r-project.org/archive/2014-1/leeper.pdf
  30. Mayernik, M. S. (2012). Data citation initiatives and issues. Bulletin of the American Society for Information Science and Technology, 38(5), 23-28. https://doi.org/10.1002/bult.2012.1720380508
  31. McAdoo, T. (2013). How to cite a data set in APA style. Retrieved from http://blog.apastyle.org/apastyle/2013/12/how-to-cite-a-data-set-in-apa-style.html
  32. Menaldo, V. (2016). The fiscal roots of financial underdevelopment. American Journal of Political Science, 60(2), 456-471. http://doi.org/10.1111/ajps.12240
  33. Michigan State University Libraries (2016). How to cite data: General info. Retrieved from http://libguides.lib.msu.edu/citedata
  34. Mooney, H., & Newton, M. P. (2012). The anatomy of a data citation: Discovery, reuse, and credit. Journal of Librarianship and Scholarly Communication, 1(1), eP1035. http://doi.org/10.7710/2162-3309.1035
  35. Parsons, M. A., Duerr, R., & Minster, J. B. (2010). Data citation and peer review. Eos, Transactions American Geophysical Union, 91(34), 297-298. https://doi.org/10.1029/2010eo340001
  36. Peters, I., Kraker, P., Lex, E., Gumpenberger, C., & Gorraiz, J. (2016). Research data explored: An extended analysis of citations and altmetrics. Scientometrics, 107(2), 723-744. http://doi.org/10.1007/s11192-016-1887-4
  37. Piwowar, H. A., & Vision, T. J. (2013). Data reuse and the open data citation advantage. PeerJ, 1, e175. https://doi.org/10.7717/peerj.175
  38. Robinson-Garcia, N., Jimenez-Contreras, E., & Torres-Salinas, D. (2015). Analyzing data citation practices using the Data Citation Index. Journal of the Association for Information Science and Technology, 67(12), 2964-2975. http://doi.org/10.1002/asi.23529
  39. Selway, J. S. (2011). The measurement of cross-cutting cleavages and other multidimensional cleavage structures. Political Analysis, 19(1), 48-65. https://doi.org/10.1093/pan/mpq036
  40. Starr, J., & Gastl, A. (2011). isCitedBy: A metadata scheme for DataCite. D-lib Magazine, 17(1/2), 9. http://doi.org/10.1045/january2011-starr
  41. Stockhause, M., Hock, H., Toussaint, F., & Lautenschlager, M. (2012). Quality assessment concept of the World Data Center for climate and its application to CMIP5 data. Geoscientific Model Development, 5(4), 1023-1032. https://doi.org/10.5194/gmd-5-1023-2012
  42. Stodden, V. C. (2010). Reproducible research: Addressing the need for data and code sharing in computational science. Computing in Science & Engineering, 12(5), 8-12.
  43. Torres-Salinas, D., & Martin-Martin, A. (2013). An introduction to the coverage of the Data Citation Index (Thomson-Reuters): Disciplines, document types and repositories. arXiv preprint arXiv:1306.6584.
  44. U.S. Geological Survey (2016). Data citation. Retrieved from https://www2.usgs.gov/datamanagement/describe/citation.php
  45. Uhlir, P. F. (Ed.). (2012). For attribution-developing data attribution and citation practices and standards: Summary of an international workshop. Washington, DC: National Academies Press. Retrieved from http://www.nap.edu/catalog/13564/for-attribution-developing-data-attribution-and-citat ion-practices-and-standards

Cited by

  1. Subject analysis of LIS data archived in a Figshare using co-occurrence analysis pp.1468-4527, 2018, https://doi.org/10.1108/OIR-12-2017-0369