research data . Dataset . 2020

OpenAIRE Covid-19 publications, datasets, software and projects metadata.

Bardi, Alessia; Kuchma, Iryna; Brobov, Evgeny; Truccolo, Ivana; Monteiro, Elizabete; Casalegno, Carlotta; Clary, Erin; Romanowski, Andrew; Pavone, Gina; Artini, Michele; ...
Open Access English
  • Published: 12 Aug 2020
  • Publisher: Zenodo
Abstract
This dump provides access to the metadata records of publications, research data, software and projects that may be relevant to the Corona Virus Disease (COVID-19) fight. The dump contains records of the OpenAIRE COVID-19 Gateway, identified via full-text mining and inference techniques applied to the OpenAIRE Research Graph. The Graph is one of the largest Open Access collections of metadata records and links between publications, datasets, software, projects, funders, and organizations, aggregating 12,000+ scientific data sources world-wide, among which the Covid-19 data sources Zenodo COVID-19 Community, WHO (World Health Organization), BIP! FInder for COVID-19, Protein Data Bank, Dimensions, scienceOpen, and RSNA. The dump consists of a tar archive containing gzip files with one json per line. Each json is compliant to the schema available at https://doi.org/10.5281/zenodo.4723499.
Subjects
free text keywords: COVID-19, OpenAIRE, COVID-19, OpenAIRE, Scholarly communication, Open Science
Communities
  • COVID-19
Funded by
EC| OpenAIRE-Advance
Project
OpenAIRE-Advance
OpenAIRE Advancing Open Scholarship
  • Funder: European Commission (EC)
  • Project Code: 777541
  • Funding stream: H2020 | RIA
Validated by funder
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ZENODO
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Providers: ZENODO
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