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The sharing of research data facing the COVID-19 pandemic
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072296/ https://www.ncbi.nlm.nih.gov/pubmed/33935332 http://dx.doi.org/10.1007/s11192-021-03971-6 |
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author | Lucas-Dominguez, Rut Alonso-Arroyo, Adolfo Vidal-Infer, Antonio Aleixandre-Benavent, Rafael |
author_facet | Lucas-Dominguez, Rut Alonso-Arroyo, Adolfo Vidal-Infer, Antonio Aleixandre-Benavent, Rafael |
author_sort | Lucas-Dominguez, Rut |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8072296 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-80722962021-04-26 The sharing of research data facing the COVID-19 pandemic Lucas-Dominguez, Rut Alonso-Arroyo, Adolfo Vidal-Infer, Antonio Aleixandre-Benavent, Rafael Scientometrics Article 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. Springer International Publishing 2021-04-26 2021 /pmc/articles/PMC8072296/ /pubmed/33935332 http://dx.doi.org/10.1007/s11192-021-03971-6 Text en © Akadémiai Kiadó, Budapest, Hungary 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Lucas-Dominguez, Rut Alonso-Arroyo, Adolfo Vidal-Infer, Antonio Aleixandre-Benavent, Rafael The sharing of research data facing the COVID-19 pandemic |
title | The sharing of research data facing the COVID-19 pandemic |
title_full | The sharing of research data facing the COVID-19 pandemic |
title_fullStr | The sharing of research data facing the COVID-19 pandemic |
title_full_unstemmed | The sharing of research data facing the COVID-19 pandemic |
title_short | The sharing of research data facing the COVID-19 pandemic |
title_sort | sharing of research data facing the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8072296/ https://www.ncbi.nlm.nih.gov/pubmed/33935332 http://dx.doi.org/10.1007/s11192-021-03971-6 |
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