Building an Open Resources Repository for COVID-19 Research

24 Pages Posted: 29 Apr 2020 Last revised: 26 Jun 2020

See all articles by Tao Hu

Tao Hu

Harvard University

Weihe Wendy Guan

Harvard University

Xinyan Zhu

Wuhan University

Yuanzheng Shao

Wuhan University

Lingbo Liu

Wuhan University

Jing Du

Wuhan University

Hongqiang Liu

Shandong University of Science and Technology

Huan Zhou

Wuhan University

Jialei Wang

Wuhan University

Bing She

University of Michigan, Ann Arbor

Luyao Zhang

Duke Kunshan University

Zhibin Li

Harvard University

Peixiao Wang

Fuzhou University

Yicheng Tang

Hefei University of Technology - School of Management

Ruizhi Hou

East China Normal University (ECNU)

Yun Li

George Mason University

Dexuan Sha

George Mason University

Yifan Yang

University of California San Diego

Ben Lewis

Harvard University

Devika Kakkar

Harvard University

Shuming Bao

China Data Center

Date Written: April 8, 2020

Abstract

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.

Keywords: COVID-19, open data, data repository, GIS, spatial data

Suggested Citation

Hu, Tao and Guan, Weihe Wendy and Zhu, Xinyan and Shao, Yuanzheng and Liu, Lingbo and Du, Jing and Liu, Hongqiang and Zhou, Huan and Wang, Jialei and She, Bing and Zhang, Luyao and Li, Zhibin and Wang, Peixiao and Tang, Yicheng and Hou, Ruizhi and Li, Yun and Sha, Dexuan and Yang, Yifan and Lewis, Ben and Kakkar, Devika and Bao, Shuming, Building an Open Resources Repository for COVID-19 Research (April 8, 2020). Available at SSRN: https://ssrn.com/abstract=3587704 or http://dx.doi.org/10.2139/ssrn.3587704

Tao Hu (Contact Author)

Harvard University ( email )

1875 Cambridge Street
Cambridge, MA 02138
United States

Weihe Wendy Guan

Harvard University ( email )

1875 Cambridge Street
Cambridge, MA 02138
United States

Xinyan Zhu

Wuhan University ( email )

Wuhan
China

Yuanzheng Shao

Wuhan University ( email )

Wuhan
China

Lingbo Liu

Wuhan University ( email )

Wuhan
China

Jing Du

Wuhan University ( email )

Wuhan
China

Hongqiang Liu

Shandong University of Science and Technology ( email )

Qingdao, Shandong
China

Huan Zhou

Wuhan University ( email )

Wuhan
China

Jialei Wang

Wuhan University ( email )

Wuhan
China

Bing She

University of Michigan, Ann Arbor ( email )

2350 Hayward Street
Ann Arbor, MI 48109
United States

Luyao Zhang

Duke Kunshan University ( email )

No. 8 Duke Avenue
Kunshan, Jiangsu 215316
China

HOME PAGE: http://scholars.duke.edu/person/luyao.zhang

Zhibin Li

Harvard University ( email )

1875 Cambridge Street
Cambridge, MA 02138
United States

Peixiao Wang

Fuzhou University ( email )

fuzhou, 350000
China

Yicheng Tang

Hefei University of Technology - School of Management ( email )

Hefei,, 230009,
China

Ruizhi Hou

East China Normal University (ECNU) ( email )

North Zhongshan Road Campus
3663 N. Zhongshan Rd.
Shanghai, 200062
China

Yun Li

George Mason University ( email )

4400 University Drive
Fairfax, VA 22030
United States

Dexuan Sha

George Mason University ( email )

4400 University Drive
Fairfax, VA 22030
United States

Yifan Yang

University of California San Diego ( email )

9500 Gilman Drive
La Jolla, CA 92093
United States

Ben Lewis

Harvard University ( email )

1875 Cambridge Street
Cambridge, MA 02138
United States

Devika Kakkar

Harvard University ( email )

1875 Cambridge Street
Cambridge, MA 02138
United States

Shuming Bao

China Data Center ( email )

330 Packard St
Ann Arbor, MI 48104
United States
734-647-9610 (Phone)
734-763-0335 (Fax)

HOME PAGE: http://chinadatacenter.org

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