Harrison, Peter W;
Lopez, Rodrigo;
Rahman, Nadim;
Allen, Stefan Gutnick;
Aslam, Raheela;
Buso, Nicola;
Cummins, Carla;
... Apweiler, Rolf; + view all
(2021)
The COVID-19 Data Portal: accelerating SARS-CoV-2 and COVID-19 research through rapid open access data sharing.
Nucleic Acids Research
, 49
(W1)
W619-W623.
10.1093/nar/gkab417.
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Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic will be remembered as one of the defining events of the 21st century. The rapid global outbreak has had significant impacts on human society and is already responsible for millions of deaths. Understanding and tackling the impact of the virus has required a worldwide mobilisation and coordination of scientific research. The COVID-19 Data Portal (https://www.covid19dataportal.org/) was first released as part of the European COVID-19 Data Platform, on April 20th 2020 to facilitate rapid and open data sharing and analysis, to accelerate global SARS-CoV-2 and COVID-19 research. The COVID-19 Data Portal has fortnightly feature releases to continue to add new data types, search options, visualisations and improvements based on user feedback and research. The open datasets and intuitive suite of search, identification and download services, represent a truly FAIR (Findable, Accessible, Interoperable and Reusable) resource that enables researchers to easily identify and quickly obtain the key datasets needed for their COVID-19 research.
Type: | Article |
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Title: | The COVID-19 Data Portal: accelerating SARS-CoV-2 and COVID-19 research through rapid open access data sharing |
Location: | England |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1093/nar/gkab417 |
Publisher version: | https://doi.org/10.1093/nar/gkab417 |
Language: | English |
Additional information: | © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Biomedical Research, COVID-19, Databases, Bibliographic, Databases, Factual, Datasets as Topic, Disease Outbreaks, Humans, Information Dissemination, Open Access Publishing, Pandemics, SARS-CoV-2, Time Factors, Viral Proteins |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UK Dementia Research Institute HQ |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10182105 |
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