Sold by: Rearc
Deployed on AWS
In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community.
Overview
The source code outlining how this product gathers, transforms, revises and publishes its datasets is available at https://github.com/rearc-data/covid-19-open-research .
Product Description
In response to the COVID-19 pandemic, the Allen Institute for AI has partnered with leading research groups to prepare and distribute the COVID-19 Open Research Dataset (CORD-19), a free resource of over 44,000 scholarly articles, including over 29,000 with full text, about COVID-19 and the coronavirus family of viruses for use by the global research community.
This dataset is intended to mobilize researchers to apply recent advances in natural language processing to generate new insights in support of the fight against this infectious disease. The corpus will be updated weekly as new research is published in peer-reviewed publications and archival services like bioRxiv, medRxiv, and others.
Data Sources
This resource includes the metadata.csv file released weekly by the Allen Institute for AI, which documents COVID-19 updates and new research published in peer-reviewed publications. The columns of the dataset are:
cord_uid, sha,source_x, title,doi, pmcid, pubmed_id, license, abstract, publish_time, authors, journal, microsoft_academic_paper_id, who_covidence, has_pdf_parse, has_pmc_xml_parse, full_text_file, url
To explore addtional COVID-19 resources distributed by the Allen Institute for AI, please click here .
More Information
- Source: Allen Institute for AI
- Dataset License
- COVID-19 Open Research Dataset Homepage
- Frequency: Weekly
- Format: CSV
Contact Details
- If you find any issues with or have enhancement ideas for this product, open up a GitHub issue and we will gladly take a look at it. Better yet, submit a pull request. Any contributions you make are greatly appreciated ❤️.
- If you are looking for specific open datasets currently not available on ADX, please submit a request on our project board here .
- If you have questions about the source data, please contact feedback@semanticscholar.org .
- If you have any other questions or feedback, send us an email at data@rearc.io .
About Rearc
Rearc is a cloud, software and services company. We believe that empowering engineers drives innovation. Cloud-native architectures, modern software and data practices, and the ability to safely experiment can enable engineers to realize their full potential. We have partnered with several enterprises and startups to help them achieve agility. Our approach is simple — empower engineers with the best tools possible to make an impact within their industry.
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Dimensions summary
This listing is free. It has one dimension, Product Access (Units), which grants subscribers access to the dataset. There are no tiers, usage charges, or add-ons to compare. You subscribe once to get access, and no cost scales with usage or quantity. The vendor sources and publishes free public datasets so you can consume them through AWS in a consistent way.
Top-of-mind questions for buyers
It grants you subscription access to the dataset published through AWS. You subscribe once to consume the data. There is no metering, so the number of units does not scale your cost. Access lets you pull the dataset into your own data pipeline for analysis.
No. This listing is free and has one access dimension with no usage metering. Your cost does not rise with query volume, data pulled, or the number of people accessing it. Nothing triggers a charge or tier change, since there are no usage-based or quantity-based fees.
The subscription itself carries no charge. The vendor sources and publishes the public dataset for you to consume through AWS. Any underlying AWS costs for storing or processing the data in your own environment would follow standard AWS service rates, separate from this free listing.
www.rearc.io
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Delivery details
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
COVID-19 Open Research Dataset (CORD-19) | Allen Institute for AI | All historical revisions | All future revisions | Not included | Not included |
Resources
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