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Building an Open Resources Repository for COVID-19 Research
The COVID-19 outbreak is a global pandemic declared by the World Health Organization, with rapidly increasing cases in most countries. A wide range of research is urgently needed for understanding the COVID-19 pandemic, such as transmissibility, geographic spreading, risk factors for infections, and...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tao Hu et al., published by Sciendo. Published by Elsevier Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969556/ https://www.ncbi.nlm.nih.gov/pubmed/35382104 http://dx.doi.org/10.2478/dim-2020-0012 |
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author | Hu, Tao Guan, Weihe Wendy Zhu, Xinyan Shao, Yuanzheng Liu, Lingbo Du, Jing Liu, Hongqiang Zhou, Huan Wang, Jialei She, Bing Zhang, Luyao Li, Zhibin Wang, Peixiao Tang, Yicheng Hou, Ruizhi Li, Yun Sha, Dexuan Yang, Yifan Lewis, Ben Kakkar, Devika Bao, Shuming |
author_facet | Hu, Tao Guan, Weihe Wendy Zhu, Xinyan Shao, Yuanzheng Liu, Lingbo Du, Jing Liu, Hongqiang Zhou, Huan Wang, Jialei She, Bing Zhang, Luyao Li, Zhibin Wang, Peixiao Tang, Yicheng Hou, Ruizhi Li, Yun Sha, Dexuan Yang, Yifan Lewis, Ben Kakkar, Devika Bao, Shuming |
author_sort | Hu, Tao |
collection | PubMed |
description | The COVID-19 outbreak is a global pandemic declared by the World Health Organization, with rapidly increasing cases in most countries. A wide range of research is urgently needed for understanding the COVID-19 pandemic, such as transmissibility, geographic spreading, risk factors for infections, and economic impacts. Reliable data archive and sharing are essential to jump-start innovative research to combat COVID-19. This research is a collaborative and innovative effort in building such an archive, including the collection of various data resources relevant to COVID-19 research, such as daily cases, social media, population mobility, health facilities, climate, socioeconomic data, research articles, policy and regulation, and global news. Due to the heterogeneity between data sources, our effort also includes processing and integrating different datasets based on GIS (Geographic Information System) base maps to make them relatable and comparable. To keep the data files permanent, we published all open data to the Harvard Dataverse (https://dataverse.harvard.edu/dataverse/2019ncov), an online data management and sharing platform with a permanent Digital Object Identifier number for each dataset. Finally, preliminary studies are conducted based on the shared COVID-19 datasets and revealed different spatial transmission patterns among mainland China, Italy, and the United States. |
format | Online Article Text |
id | pubmed-8969556 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Tao Hu et al., published by Sciendo. Published by Elsevier Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-89695562022-04-01 Building an Open Resources Repository for COVID-19 Research Hu, Tao Guan, Weihe Wendy Zhu, Xinyan Shao, Yuanzheng Liu, Lingbo Du, Jing Liu, Hongqiang Zhou, Huan Wang, Jialei She, Bing Zhang, Luyao Li, Zhibin Wang, Peixiao Tang, Yicheng Hou, Ruizhi Li, Yun Sha, Dexuan Yang, Yifan Lewis, Ben Kakkar, Devika Bao, Shuming Data Inf Manag Research Article The COVID-19 outbreak is a global pandemic declared by the World Health Organization, with rapidly increasing cases in most countries. A wide range of research is urgently needed for understanding the COVID-19 pandemic, such as transmissibility, geographic spreading, risk factors for infections, and economic impacts. Reliable data archive and sharing are essential to jump-start innovative research to combat COVID-19. This research is a collaborative and innovative effort in building such an archive, including the collection of various data resources relevant to COVID-19 research, such as daily cases, social media, population mobility, health facilities, climate, socioeconomic data, research articles, policy and regulation, and global news. Due to the heterogeneity between data sources, our effort also includes processing and integrating different datasets based on GIS (Geographic Information System) base maps to make them relatable and comparable. To keep the data files permanent, we published all open data to the Harvard Dataverse (https://dataverse.harvard.edu/dataverse/2019ncov), an online data management and sharing platform with a permanent Digital Object Identifier number for each dataset. Finally, preliminary studies are conducted based on the shared COVID-19 datasets and revealed different spatial transmission patterns among mainland China, Italy, and the United States. Tao Hu et al., published by Sciendo. Published by Elsevier Ltd 2020-09-01 2022-03-31 /pmc/articles/PMC8969556/ /pubmed/35382104 http://dx.doi.org/10.2478/dim-2020-0012 Text en © 2020 Tao Hu et al., published by Sciendo Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Research Article Hu, Tao Guan, Weihe Wendy Zhu, Xinyan Shao, Yuanzheng Liu, Lingbo Du, Jing Liu, Hongqiang Zhou, Huan Wang, Jialei She, Bing Zhang, Luyao Li, Zhibin Wang, Peixiao Tang, Yicheng Hou, Ruizhi Li, Yun Sha, Dexuan Yang, Yifan Lewis, Ben Kakkar, Devika Bao, Shuming Building an Open Resources Repository for COVID-19 Research |
title | Building an Open Resources Repository for COVID-19 Research |
title_full | Building an Open Resources Repository for COVID-19 Research |
title_fullStr | Building an Open Resources Repository for COVID-19 Research |
title_full_unstemmed | Building an Open Resources Repository for COVID-19 Research |
title_short | Building an Open Resources Repository for COVID-19 Research |
title_sort | building an open resources repository for covid-19 research |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8969556/ https://www.ncbi.nlm.nih.gov/pubmed/35382104 http://dx.doi.org/10.2478/dim-2020-0012 |
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