DOI QR코드

DOI QR Code

Data Scholarship: Data Journals and Data Repositories

데이터 스칼라십: 데이터 저널과 데이터 리포지토리를 중심으로

  • Hyoungjoo Park (Dept. of Library and Information Science, Chungnam National Univeristy)
  • 박형주 (충남대학교 문헌정보학과)
  • Received : 2023.10.16
  • Accepted : 2023.11.10
  • Published : 2024.01.31

Abstract

The purpose of this study is to comprehend the knowledge structure of data scholarship within data journals and repositories. The study explored various aspects, including types of peer review, co-occurrence analysis through author keywords, and network analysis via article titles. The majority of data repositories in the DCI are maintained by countries in North America and the European Union. In Korea, data repositories are predominantly managed by research institutions. This study contributes to enhancing our understanding of the practices in data scholarship.

본 연구는 데이터 스칼라십을 이해하기 위하여 데이터 논문으로 색인되는 저널의 지적 구조를 분석 및 시각화하고 데이터 리포지토리의 운영을 비교하였다. 동료 평가(peer review) 유형을 살펴보고, 공동 출현 분석(co-occurence analysis) 및 네트워크 분석(network analysis)을 실시하였다. WoS에 데이터 논문으로 색인되는 상위 10위 저널은 전통적인 유형과 데이터 논문 유형을 혼재해서 발간하고 있었다. DCI에 색인되는 데이터 리포지토리는 대부분 북미 및 유럽 국가에서 운영하고 있다. 국내의 데이터 리포지토리는 대부분 연구원에서 운영하고 있다. 본 연구의 결과는 데이터 저널, 데이터 리포지토리 등 데이터 스칼라십의 관행을 이해하는 데 도움이 되기를 바란다.

Keywords

Acknowledgement

이 논문은 2022년도 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임.(NRF-2022M3J6A1084843)

References

  1. C. L. Borgman, Big Data, Little Data, No Data, Cambridge: MIT Press, 2015.
  2. M. A. Parsons and P. A. Fox, "Is Data Publication the Right Metaphor?," Data Science Journal, Vol. 12, pp. WDS32-WDS46, 2013. DOI:10.2481/dsj.WDS-042
  3. D. Carlson and T. Oda, "Editorial: Data Publication-ESSD Goals, Practices and Recommendations," Earth System Science Data, Vol. 10, pp. 2275-2278, 2018. DOI:10.5194/essd-10-2275-2018
  4. V. Chavan and L. Penev, "The Data Paper: a Mechanism to Incentivize Data Publishing in Biodiversity Science," BMC Bioinformatics, Vol. 12, No. 15, p. S2, 2011. DOI:10.1186/1471-2105-12-S15-S2
  5. G. Colavizza, I. Hrynaszkiewicz, I. Staden, K. Whitaker and B. McGillivray, "The Citation Advantage of Linking Publications to Research Data," PLoS ONE, Vol. 15, No. 4, p. e0230416, 2020. DOI: 10.1371/journal.pone.0230416
  6. X. Huang, B. A. Hawkins and G. Qiao, "Biodiversity Data Sharing: Will Peer-reviewed Data Papers Work?," BioScience, Vol. 63, No. 1, pp. 5-6, 2013. DOI: 10.1525/bio.2013.63.1.2
  7. M. S. Mayernik, S. Callaghan, R. Leigh, J. Tedds and S. Worley, "Peer Review of Datasets: When, Why, and How," Bulletin of the American Meteorological Society, Vol. 96, No. 2, pp. 191-201, 2015. DOI: 10.1175/BAMS-D-13-0083.1
  8. M. Assante, L. Candela, D. Castelli and A. Tani, "Are Scientific Data Repositories Coping with Research Data Publishing?," Data Science Journal, Vol. 15, No. 6, 2016. DOI: 10.5334/dsj-2016-006
  9. Springer Nature, "Data Policies,". https://www.nature.com/sdata/policies/data-policies.
  10. Springer Nature, "Data Repository Guidance," https://www.nature.com/sdata/policies/repositories
  11. Clarivate Analytics, "Data Citation Index," 2022. https://clarivate.com/webofsciencegroup/so lutions/webofscience-data-citation-index/.
  12. P. Newman and P. Corke, "Editorial: Data Papers-peer Reviewed Publication of High Quality Data Sets," The International Journal of Robotics Research, Vol. 28, No. 5, p. 587, 2009.
  13. J. J. Kossakowski, P. C. Groot, J. M. Haslbeck, D. Borsboom and M. Wichers, "Data from'Critical Slowing Down as a Personalized Early Warning Signal for Description'," Journal of Open Psychology Data, Vol. 5, No. 1, 2017. DOI:10.5334/jopd.29
  14. K. Xu, B. Nosek and A. G. Greenwald, "Psychology Data from the Race Implicit Association Test on the Project Implicit Demo Website," Journal of Open Psychology Data, Vol. 2, No. 1, pp. 1-3, 2014. https://doi.org/10.5334/jopd.ac
  15. L. Candela, D. Castelli, P. Manghi and A. Tani, "Data Journals: a Survey," Journal of the Association for Information Science and Technology, Vol. 66, No. 9, pp. 1747-1762, 2015. DOI: 10.1002/asi.23358
  16. A. Zimmerman, "Not by Metadata Alone: the Use of Diverse Forms of Knowledge to Locate Data for Reuse," International Journal on Digital Libraries, Vol. 7, pp. 5-16, 2007. DOI:10.1007/s00799-007-0015-8
  17. I. X. Faniel, R. D. Frank and E. Yakel, "Context from the Data Reuser's Point of View," Journal of Documentation, Vol. 75, No. 6, pp. 1274-1297, 2019. DOI:10.1108/JD-08-2018-0133
  18. X. Wang, Q. Duan and M. Liang, "Understanding the Process of Data Reuse: an Extensive View," Journal of the Association for Information Science and Technology, Vol. 72, No. 9, pp. 1161-1182, 2021. DOI:10.1002/asi.24483
  19. C. Tenopir, N. M. Rice, S. Allard, L. Baird, J. Borycz, L. Christian, B. Grant, R. Olendorf and R. J. Sandusky, "Data Sharing, Management, Use, and Reuse: Practices and Perceptions of Scientists Worldwide," PLoS ONE, Vol. 15, No. 3, p. e0229003, 2020. DOI: 10.1371/journal.pone.0229003
  20. X. Cao, "Data Paper: an Important Type of Academic Articles," Resources Data Journal, Vol. 1, pp. 10-16, 2022.
  21. H. H. Pierce, A. Dev, E. Statham and B. E. Bierer, "Credit Data Generators for Data Reuse," Nature, Vol. 570, pp. 30-32, 2019. DOI: 10.1038/d41586-019-01715-4
  22. M. J. Costello, W. K. Michener, M. Gahegan, Z. Q. Zhang and P. E. Bourne, "Biodiversity Data Should be Published, Cited, and Peer Reviewed," Trends in Ecology & Evoluation, Vol. 28, No. 8, pp. 454-461, 2013. DOI:10.1016/j.tree.2013.05.002
  23. F. Murphy, "An Update on Peer Review and Research Data," Learned Publishing, Vol. 29, No. 1, pp. 51-53, 2016. DOI: 10.1002/leap.1005
  24. M. E. Hochberg, J. M. Chase, N. J. Gotelli, A. Hastings and S. Naeem, "The Tragedy of the Reviewer Commons," Ecology Letters, Vol. 12, pp. 2-4, 2009. DOI: 6.x https://doi.org/10.1111/j.1461-0248.2008.01276.x
  25. S. Jung, "A Study on Changes in the Food Service Industry about Keyword before and after COVID-19 using Bid Data," International Journal of Internet, Broadcasting and Communication, Vol. 14, No. 3, pp. 85-90, 2022. DOI: 10.7236/IJIBC.2022.14.3.85
  26. M. K. Lee and S. L. Kim, "Analysis on Research Trends of Early Childhoold Software Education: Korean Articles Published in 2017 through 2022," The Journal of the Convergence on Culture Technology, Vol. 9, No. 6, pp. 281-289, 2023. DOI: 10.17703/JCCT.2023.9.6.281
  27. Clarivate Analytics, "Master Data Repository list," 2022. https://clarivate.com/webofsciencegroup/master-data-repository-list/.
  28. Clarivate Analytics, "Master Journal List," 2022. https://mjl.clarivate.com/journal-profile.
  29. International Standard Serial Number International Centre, "Key-title Gigascience," https://portal.issn.org/resource/ISSN/2047-217X.
  30. H. Park and D. Wolfram, "An Examination of Research Data Sharing and Re-use: Implications for Data Citation Practice," Scientometrics, Vol. 111, No. 1, pp. 443-461, 2017. DOI:10.1007/s11192-017-2240-2
  31. M. J. Costello, "Motivating Online Publication of Data," BioScience, Vol. 59, No. 5, pp. 418-427, 2009. DOI: 10.1525/bio.2009.59.5.9