REDASA COVID-19 Open Data
Provided by: REDASA Consortium, Imperial College London, UK, part of the AWS Open Data Sponsorship Program
Provided by: REDASA Consortium, Imperial College London, UK, part of the AWS Open Data Sponsorship Program
REDASA COVID-19 Open Data
Provided by: REDASA Consortium, Imperial College London, UK, part of the AWS Open Data Sponsorship Program
Provided by: REDASA Consortium, Imperial College London, UK, part of the AWS Open Data Sponsorship Program
This product is part of the AWS Open Data Sponsorship Program and contains data sets that are publicly available for anyone to access and use. No subscription is required. Unless specifically stated in the applicable data set documentation, data sets available through the AWS Open Data Sponsorship Program are not provided and maintained by AWS.
Description
The REaltime DAta Synthesis and Analysis (REDASA) COVID-19 snapshot contains the output of the curation protocol produced by our curator community. A detailed description can be found in our paper . The first S3 bucket listed in Resources contains a large collection of medical documents in text format extracted from the CORD-19 dataset , plus other sources deemed relevant by the REDASA consortium. The second S3 bucket contains a series of documents surfaced by Amazon Kendra that were considered relevant for each medical question asked. The final S3 bucket contains the GroundTruth annotations created by our curator community.
License
CC-BY-4.0
How to cite
REDASA COVID-19 Open Data was accessed on DATE from https://registry.opendata.aws/redasa-covid-data .
Update frequency
Yearly updates
Support information
Managed by: REDASA Consortium, Imperial College London, UK
Contact: redasa-open-data@imperial.ac.uk
General AWS Data Exchange support
Resources on AWS
Description
This is the raw data repository containing a common crawl of CORD-19 papers and other sources identified by the REDASA Project.
Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::pansurg-curation-raw-open-dataAWS Region
eu-west-2AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://pansurg-curation-raw-open-data/Description
For all the questions curated during the REDASA project, we created a Kendra index. The documents available in this S3 bucket were surfaced by the Kendra index as being relevant to the research medical question.
Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::pansurg-curation-workflo-kendraqueryresults50d0eb-open-dataAWS Region
eu-west-2AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://pansurg-curation-workflo-kendraqueryresults50d0eb-open-data/Description
An S3 bucket that contains the final curation data in GroundTruth format
Resource type
S3 Bucket
Amazon Resource Name (ARN)
arn:aws:s3:::pansurg-curation-final-curations-open-dataAWS Region
eu-west-2AWS CLI Access (No AWS account required)
aws s3 ls --no-sign-request s3://pansurg-curation-final-curations-open-data/Usage examples
Publications
- Using a Secure, Continually Updating, Web Source Processing Pipeline to Support the Real-Time Data Synthesis and Analysis of Scientific Literature: Development and Validation Study by Uddhav Vaghela, Simon Rabinowicz, Paris Bratsos, Guy Martin, Epameinondas Fritzilas, et al.
Tools & Applications