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The impact of the National Heart, Lung, and Blood Institute data: analyzing published articles that used BioLINCC open access data [version 2; peer review: 1 approved, 1 approved with reservations, 1 not approved]

Authors :
Saif Aldeen AlRyalat
Osama El Khatib
Ola Al-qawasmi
Hadeel Alkasrawi
Raneem al Zu’bi
Maram Abu-Halaweh
Yara alkanash
Ibrahim Habash
Author Affiliations :
<relatesTo>1</relatesTo>Department of Ophthalmology, University of Jordan Hospital, University of Jordan, Amman, 11942, Jordan<br /><relatesTo>2</relatesTo>Department of Internal Medicine, University of Jordan Hospital, University of Jordan, Amman, 11942, Jordan<br /><relatesTo>3</relatesTo>Department of Forensic Medicine, University of Jordan Hospital, The University of Jordan, Amman, 11942, Jordan
Source :
F1000Research. 9:30
Publication Year :
2020
Publisher :
London, UK: F1000 Research Limited, 2020.

Abstract

Background: Data sharing is now a mandatory prerequisite for several major funders and journals, where researchers are obligated to deposit the data resulting from their studies in an openly accessible repository. Biomedical open data are now widely available in almost all disciplines, where researchers can freely access and reuse these data in new studies. We aim to study the BioLINCC datasets, number of publications that used BioLINCC open access data, and the impact of these publications through the citations they received. Methods: As of July 2019, there was a total of 194 datasets stored in BioLINCC repository and accessible through their portal. We requested the full list of publications that used these datasets from BioLINCC, and we also performed a supplementary PubMed search for other publications. We used Web of Science (WoS) to analyze the characteristics of publications and the citations they received. Results: 1,086 published articles used data from BioLINCC repository for 79 (40.72%) datasets, where 115 (59.28%) datasets didn’t have any publications associated with it. Of the total publications, 987 (90.88%) articles were WoS indexed. The number of publications has steadily increased since 2002 and peaked in 2018 with a total number of 138 publications on that year. The 987 open data publications received a total of 34,181 citations up to 1 st October 2019. The average citation per item for the open data publications was 34.63. The total number of citations received by open data publications per year has increased from only 2 citations in 2002, peaking in 2018 with 2361 citations. Conclusion: Majority of BioLINCC datasets were not used in secondary publications. Despite that, the datasets used for secondary publications yielded publications in WoS indexed journals and are receiving an increasing number of citations.

Subjects

Subjects :
Research Article
Articles
Open Data
Publications
National Institute of Health
Bibliometrics

Details

ISSN :
20461402
Volume :
9
Database :
F1000Research
Journal :
F1000Research
Notes :
Revised Amendments from Version 1 The new version further specified that the scope of the current article is to analyze BioLINCC datasets, publications that used BioLINCC datasets, and citations received by these publications. The new version provided more details about the datasets themselves, the percentage of datasets used in secondary publications, the datasets that have the highest number of publications, and so on. The discussion of the importance of open data for early career researchers has also been expanded. Table 1 and Figure 1 have been added to reflect these changes., , [version 2; peer review: 1 approved, 1 approved with reservations, 1 not approved]
Publication Type :
Academic Journal
Accession number :
edsfor.10.12688.f1000research.21884.2
Document Type :
research-article
Full Text :
https://doi.org/10.12688/f1000research.21884.2
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