How research data is cited in scholarly literature: A case study of HINTS

Yoon, Jung Won; Chung, Eun Kyung; Lee, Jae Yun; Kim, Jihyun

doi:10.1002/leap.1213

Cited by 8 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As demonstrated in previous studies (M. S. Mayernik, Hart, Maull, & Weber, 2017;Parsons, Duerr, & Minster, 2010;Yoon, Chung, Lee, & Kim, 2019), including data citation in a reference list is not a normative behaviour yet. There are several approaches for encouraging data citation behaviours: having research funders or publishers require authors using data to cite data in their publications, having research institutes or universities give incentives to cited researchers for their data so that researchers develop a culture of data citation, and developing standards so that researchers can easily cite datasets in their scholarly articles as they do for other scholarly publications.…”

Section: Introductionmentioning

confidence: 73%

Examination of data citation guidelines in style manuals and data repositories

Yoon

Chung²,

Schalk

et al. 2020

Learned Publishing

Self Cite

View full text Add to dashboard Cite

This study investigated the status of data citation guidelines by analysing 15 style manuals and 100 data repositories in various fields. Analysis results are presented through a comparison with eight items in the Joint Declaration of Data Citation Principles (JDDCP). Only nine style manuals and only 20 repositories contain instructions regarding data citation. The guidelines generally agree on the importance of the author, publication date, title, and publisher, but there is large variation between the different guides. Analysis of the guidelines revealed that they generally reflect the principles of the JDDCP. In particular, the principle of Credit and Attribution is significantly reflected in style manuals and data repositories and supports one of the major motivations for data sharing. The principles of Unique Identification, Access, and Persistence are less well supported in data citation guidelines. However, the principles of Importance, Evidence, Specificity and Verifiability, and Interoperability and Flexibility are rarely supported. The findings of this study reveal that better guidelines are required, and future work could investigate developing and assessing the standard guidelines for data citation in different fields.

show abstract

Section: Introductionmentioning

confidence: 73%

Examination of data citation guidelines in style manuals and data repositories

Yoon

Chung²,

Schalk

et al. 2020

Learned Publishing

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, they did not distinguish between the two methods, nor report the frequency of each. Yoon et al (2019) analysed the reuse of HINTS (Health Information National Trends Survey) data based on an alternate definition of two methods. They defined primary reuse as reuse of HINTS data only, and secondary reuse as reuse of HINTS data alongside other data, where HINTS data was prioritized.…”

Section: Different Ways To Reuse Data In Research Articlesmentioning

confidence: 99%

“…Note that reused data for both reuse modes included those created or collected by the authors in past studies. In addition, note that the definitions of the two modes of data reuse differ from the primary and secondary reuse used by Yoon et al (2019). Their definition is described in Section 2.…”

Section: Introductionmentioning

confidence: 99%

Initial insight into three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles

Sakai,

Miyata,

Yokoi

et al. 2023

Learned Publishing

View full text Add to dashboard Cite

While data sharing has received research interest in recent times, its real status remains unclear, owing to its ambiguous concept. To understand the current status of data sharing, this study examined primary reuse, data integration, and dataset release as the actual practices of data sharing. A total of 963 articles, chosen from those published in 2018 and registered in the Web of Science global citation database, were manually checked. Existing data were reused in the mode of data integration (13.3%) as frequently as they were for the mode of primary reuse (12.1%).Dataset release was the least common mode (9.0%). The results show the variation in data sharing and indicate the need for standardization of data description in articles based on thorough registration and expansion in public data archives to close the loop that results in the virtuous cycle of research data.

show abstract

“…Additionally, some studies also utilized text content to deeply explore the role, function, and relationship of KEs (Li & Yan, 2018;Li, Yan, & Feng, 2017;. Identifying the pattern of citations and the use of KEs through the content of academic papers is also on the trail (Yoon et al, 2019).…”

Section: Guest Editorialmentioning

confidence: 99%

Extraction and Evaluation of Knowledge Entities from Scientific Documents

Zhang

Mayr

et al. 2021

Journal of Data and Information Science

View full text Add to dashboard Cite

As a core resource of scientific knowledge, academic documents have been frequently used by scholars, especially newcomers to a given field. In the era of big data, scientific documents such as academic articles, patents, technical reports, and webpages are booming. The rapid daily growth of scientific documents indicates that a large amount of knowledge is proposed, improved, and used (Zhang et al., 2021). In scientific documents, knowledge entities (KEs) refer to the knowledge mentioned or cited by authors, such as algorithms, models, theories, datasets and software, diseases, drugs, and genes, reflecting rich resources in diverse problemsolving scenarios (

show abstract

How research data is cited in scholarly literature: A case study of HINTS

Cited by 8 publications

References 17 publications

Examination of data citation guidelines in style manuals and data repositories

Examination of data citation guidelines in style manuals and data repositories

Initial insight into three modes of data sharing: Prevalence of primary reuse, data integration and dataset release in research articles

Extraction and Evaluation of Knowledge Entities from Scientific Documents

Contact Info

Product

Resources

About