Journal of the Korean Society for Library and Information Science
- P-ISSN1225-598X
- E-ISSN2982-6292
Article Contents
- 2024 (Vol.58)
- 2023 (Vol.57)
- 2022 (Vol.56)
- 2021 (Vol.55)
- 2020 (Vol.54)
- 2019 (Vol.53)
- 2018 (Vol.52)
- 2017 (Vol.51)
- 2016 (Vol.50)
- 2015 (Vol.49)
- 2014 (Vol.48)
- 2013 (Vol.47)
- 2012 (Vol.46)
- 2011 (Vol.45)
- 2010 (Vol.44)
- 2009 (Vol.43)
- 2008 (Vol.42)
- 2007 (Vol.41)
- 2006 (Vol.40)
- 2005 (Vol.39)
- 2004 (Vol.38)
- 2003 (Vol.37)
- 2002 (Vol.36)
Data Sharing, Reuse, and Citation in Biological Research: An Analysis of Full-Text Literature
Abstract
This study aims to examine data sharing, reuse, and citation practices in academic literature within the biological sciences, a field with a well-established tradition of data sharing. Data were sourced from Clarivate Analytics’ Data Citation Index (DCI) and the Web of Science (WoS). Semi-automatic text-searching techniques were used to identify terms and phrases related to data sharing, reuse, and citation, followed by an in-depth content analysis of full texts. The findings reveal that informal data citations (4.62%) are substantially more prevalent than formal data citations (95.38%) in biological science literature. Informal citations most frequently appear in the main text, followed by supplementary materials, references, acknowledgments, footnotes, and abstracts. Data reuse (47.8%) was observed to occur approximately twice as often as data sharing (22.1%) in academic literature. This prevalence of informal data citation suggests that data sharers often do not receive the same academic recognition as bibliographic authors. By analyzing data sharing, reuse, and citation practices in the full texts of academic literature, this study contributes valuable insights to the field of research data citation.
- keywords
- Research Data, Data Citation, Data Sharing, Data Reuse, Biological Sciences
- Downloaded
- Viewed
- 0KCI Citations
- 0WOS Citations