The sharing of research data facing the COVID-19 pandemic
| العنوان: | The sharing of research data facing the COVID-19 pandemic |
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| المؤلفون: | Rafael Aleixandre-Benavent, Adolfo Alonso-Arroyo, Rut Lucas-Dominguez, Antonio Vidal-Infer |
| المساهمون: | Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Ministerio de Economía y Competitividad (España), Vidal-Infer, Antonio [0000-0002-7860-8652], Vidal-Infer, Antonio |
| المصدر: | Digital.CSIC: Repositorio Institucional del CSIC Consejo Superior de Investigaciones Científicas (CSIC) Scientometrics Digital.CSIC. Repositorio Institucional del CSIC instname |
| بيانات النشر: | Springer Science and Business Media LLC, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | medicine.medical_specialty, PubMed central, Coronavirus disease 2019 (COVID-19), Library science, Library and Information Sciences, 050905 science studies, Article, Open research, Pandemic, Epidemiology, medicine, Supplementary material, business.industry, Public health, 05 social sciences, Repository, COVID-19, General Social Sciences, Outbreak, Computer Science Applications, Data sharing, Geography, Publishing, 0509 other social sciences, 050904 information & library sciences, business |
| الوصف: | During the previous Ebola and Zika outbreaks, researchers shared their data, allowing many published epidemiological studies to be produced only from open research data, to speed up investigations and control of these infections. This study aims to evaluate the dissemination of the COVID-19 research data underlying scientific publications. Analysis of COVID-19 publications from December 1, 2019, to April 30, 2020, was conducted through the PubMed Central repository to evaluate the research data available through its publication as supplementary material or deposited in repositories. The PubMed Central search generated 5,905 records, of which 804 papers included complementary research data, especially as supplementary material (77.4%). The most productive journals were The New England Journal of Medicine, The Lancet and The Lancet Infectious Diseases, the most frequent keyword was pneumonia, and the most used repositories were GitHub and GenBank. An expected growth in the number of published articles following the course of the pandemics is confirmed in this work, while the underlying research data are only 13.6%. It can be deduced that data sharing is not a common practice, even in health emergencies, such as the present one. High-impact generalist journals have accounted for a large share of global publishing. The topics most often covered are related to epidemiological and public health concepts, genetics, virology and respiratory diseases, such as pneumonia. However, it is essential to interpret these data with caution following the evolution of publications and their funding in the coming months. This work benefited from assistance by Spanish Ministry of Science and Innovation (PID2019-105708RB-C22, PID2019-108579RB-I00 and BES-2016–079394) and the CIBERONC (CB16/12/00350). |
| تدمد: | 1588-2861 0138-9130 2019-1057 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49b5066f86e70d031ff115fb52e3c159 https://doi.org/10.1007/s11192-021-03971-6 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....49b5066f86e70d031ff115fb52e3c159 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 15882861 01389130 20191057 |
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