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Building an Open Resources Repository for COVID-19 Research

Publication ,  Journal Article
Hu, T; Zhang, L; Guan, WW; Zhu, X; Shao, Y; Liu, L; Du, J; Liu, H; Zhou, H; Wang, J; She, B; Li, Z; Wang, P; Tang, Y; Hou, R; Li, Y ...
Published in: Data and Information Management
July 9, 2020

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 (), 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.

Duke Scholars

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Published In

Data and Information Management

DOI

EISSN

2543-9251

Publication Date

July 9, 2020

Volume

4

Issue

3

Start / End Page

130 / 147

Publisher

Walter de Gruyter GmbH

Related Subject Headings

  • 4610 Library and information studies
  • 4609 Information systems
  • 4605 Data management and data science
 

Citation

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Hu, T., Zhang, L., Guan, W. W., Zhu, X., Shao, Y., Liu, L., … Bao, S. (2020). Building an Open Resources Repository for COVID-19 Research. Data and Information Management, 4(3), 130–147. https://doi.org/10.2478/dim-2020-0012
Hu, Tao, Luyao Zhang, Weihe Wendy Guan, Xinyan Zhu, Yuanzheng Shao, Lingbo Liu, Jing Du, et al. “Building an Open Resources Repository for COVID-19 Research.” Data and Information Management 4, no. 3 (July 9, 2020): 130–47. https://doi.org/10.2478/dim-2020-0012.
Hu T, Zhang L, Guan WW, Zhu X, Shao Y, Liu L, et al. Building an Open Resources Repository for COVID-19 Research. Data and Information Management. 2020 Jul 9;4(3):130–47.
Hu, Tao, et al. “Building an Open Resources Repository for COVID-19 Research.” Data and Information Management, vol. 4, no. 3, Walter de Gruyter GmbH, July 2020, pp. 130–47. Manual, doi:10.2478/dim-2020-0012.
Hu T, Zhang L, Guan WW, Zhu X, Shao Y, Liu L, Du J, Liu H, Zhou H, Wang J, She B, Li Z, Wang P, Tang Y, Hou R, Li Y, Sha D, Yang Y, Lewis B, Kakkar D, Bao S. Building an Open Resources Repository for COVID-19 Research. Data and Information Management. Walter de Gruyter GmbH; 2020 Jul 9;4(3):130–147.
Journal cover image

Published In

Data and Information Management

DOI

EISSN

2543-9251

Publication Date

July 9, 2020

Volume

4

Issue

3

Start / End Page

130 / 147

Publisher

Walter de Gruyter GmbH

Related Subject Headings

  • 4610 Library and information studies
  • 4609 Information systems
  • 4605 Data management and data science