Link-Cov-P Dataset

What Covid-19 bibliometric data are you using for this project?

Our goal is to provide (1) an up-to-date and (2) comprehensive bibliometric database on covid-19 publications with daily updates (22 299 cases as of today). We consolidate and link Covid-19 related publications from more than three authoritative sources. In other words, our Record Linkage database is building on a number of ongoing and important projects; LitCovid and CORD-19, and World Health Organization's Global research on coronavirus disease (COVID-19).

Getting Started

For researchers or data scientists looking to explore the dataset, you only need to donwload:

• the latest version of the Link-Cov-P dataset

For those interested in the "back-end" of things, or in helping the development of this project, please get in touch with me:

• The current dev priorities for me goes to the full development of the Daily Scientific Citation Tracker.
• That said, in the spirit of open-source, I will start with providing a detailled methodology write-up and then, when time permit, I want to do a reformatting of the Python code taking care of the daily Record Linkage.

Prerequisites

• currently, just a CSV download, no source code

Installing

• currently, just a CSV download, no source code

Contributing

Plese feel free to email me if you have any questions or if you are interested in contributing.

Authors

• Francois Lachapelle - subFIELD.lab

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

At its foundation, this project is a Record Linkage initiative. Therefore, it would not be possible without the great work of researchers at:

• Goldbloom et al., 2020 - CORD-19
• Lu, Chen, & Allot, 2020 - LitCovid
• Garnica-Carreno, Jose, 2020 [WHO]

For advisory support:

• John McLevey - UWaterloo
• Adam Howe - Statistics Canada | UBC