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COVID-19 Knowledge Graph -- Dataset for SMCDC 2021 Challenge 2

    Drahomira Herrmannova | Oak Ridge National Laboratory
    Ramakrishnan Kannan | Oak Ridge National Laboratory
    Seung-Hwan Lim | Oak Ridge National Laboratory
    Thomas E Potok | Oak Ridge National Laboratory
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Description

This repository contains the data for the 2021 Smoky Mountains Computational Sciences Data Challenge (SMCDC21) Challenge 2 -- Finding Novel Links in COVID-19 Knowledge Graph. The total size of all files in this repository is 285MB. Challenge website: https://smc-datachallenge.ornl.gov/2021-challenge-2/ More information about the challenge and the data: https://github.com/ORNL/smcdc-2021-covid-kg

Funding Information

DOE Contract Number

AC05-00OR22725

Originating Research Organization

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization

Office of Science (SC)

Details

DOI

https://doi.org/10.13139/OLCF/1782714

Release Date

May 13, 2021

Subject

60 APPLIED LIFE SCIENCES, 96 KNOWLEDGE MANAGEMENT AND PRESERVATION, 97 MATHEMATICS AND COMPUTING

Dataset

Dataset Type

SM Specialized Mix

Cite This Dataset:

Herrmannova, D., Kannan, R., Lim, S., Potok, T. (2021). COVID-19 Knowledge Graph -- Dataset for SMCDC 2021 Challenge 2. Oak Ridge National Laboratory. https://doi.org/10.13139/OLCF/1782714.

Acknowledgements

This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Advanced Scientific Computing Research programs in the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.