A registry of publicly available datasets on AWS
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README.md

Registry of Open Data on AWS

A repository of publicly available datasets that are available for access from AWS resources. Note that datasets in this registry are available via AWS resources, but they are not provided by AWS; these datasets are owned and maintained by a variety government organizations, researchers, businesses, and individuals.

What is this for?

When data is shared on AWS, anyone can analyze it and build services on top of it using a broad range of compute and data analytics products, including Amazon EC2, Amazon Athena, AWS Lambda, and Amazon EMR. Sharing data in the cloud lets data users spend more time on data analysis rather than data acquisition. This repository exists to help people promote and discover datasets that are available via AWS resources.

How are datasets added to the registry?

Each dataset in this repository is described with metadata saved in a YAML file in the /datasets directory. We use these YAML files to provide three services:

The YAML files use this structure:

Name:
Description:
Contact:
ManagedBy:
UpdateFrequency:
Tags:
  -
License:
Resources:
  - Description:
    ARN:
    Region:
    Type:
DataAtWork:
  - Title:
    URL:
    AuthorName:
    AuthorURL:

The metadata required for each dataset entry is as follows:

Field Type Description
Name String The public facing name of the dataset
Description String A high-level description of the dataset
Documentation URL A link to documentation of the dataset
Contact String May be an email address, a link to contact form, a link to GitHub issues page, or any other instructions to contact the producer of the dataset
ManagedBy String The name of the organization who is responsible for the data ingest process
UpdateFrequency String An explanation of how frequently the dataset is updated
Tags List of strings Tags that topically describe the dataset. A list of supported tags is maintained in the tags.yaml file in this repo. If you want to recommend a tag that is not included in tags.yaml, please submit a pull request to add it to that file.
License String An explanation of the dataset license and/or a URL to more information about data terms of use of the dataset
Resources List of lists A list of AWS resources that users can use to consume the data. Each resource entry requires the metadata below:
Resources > Description String A technical description of the data available within the AWS resource, including information about file formats and scope.
Resources > ARN String Amazon Resource Name for resource, e.g. arn:aws:s3:::commoncrawl
Resources > Region String AWS region unique identifier, e.g. us-east-1
Resources > Type String Can be CloudFront Distribution, DB Snapshot, S3 Bucket, or SNS Topic. A list of supported resources is maintained in the resources.yaml file in this repo. If you want to recommend a resource that is not included in resources.yaml, please submit a pull request to add it to that file.
DataAtWork (Optional) List of lists A list of links to example usages of the data. Example usages can be code samples, tutorials, demos, or applications.
DataAtWork > Title String The title of the example usage of the data.
DataAtWork > URL URL A link to the example.
DataAtWork > AuthorName String Name of person or entity that created the example.
DataAtWork > AuthorURL String (Optional) URL for person or entity that created the example.

Note also that we use the name of each YAML file as the URL slug for each dataset on the Registry of Open Data on AWS website. E.g. the metadata from 1000-genomes.yaml is listed at https://registry.opendata.aws/1000-genomes/

Example entry

Here is an example of the metadata behind this dataset registration: https://registry.opendata.aws/gdelt/

Name: Global Database of Events, Language and Tone (GDELT)
Description: |
  This project Project monitors the world's broadcast, print,
  and web news from nearly every corner of every country in
  over 100 languages and identifies the people, locations,
  organizations, counts, themes, sources, emotions, counts,
  quotes, images and events driving our global society every
  second of every day.
Documentation: http://www.gdeltproject.org/
Contact: http://www.gdeltproject.org/about.html#contact
UpdateFrequency: Daily
Tags:
  - events
License: http://www.gdeltproject.org/about.html#termsofuse
Resources:
  - Description: Project data files
    ARN: arn:aws:s3:::gdelt-open-data
    Region: us-east-1
    Type: S3 Bucket
  - Description: Notifications for new data
    ARN: arn:aws:sns:us-east-1:928094251383:gdelt-csv
    Region: us-east-1
    Type: SNS Topic
DataAtWork:
  - Title: Exploring GDELT with Athena
    URL: http://blog.julien.org/2017/03/exploring-gdelt-data-set-with-amazon.html
    AuthorName: Julien Simon
    AuthorURL: https://twitter.com/julsimon
  - Title: Running R on Amazon Athena
    URL: https://aws.amazon.com/blogs/big-data/running-r-on-amazon-athena/
    AuthorName: Gopal Wunnava
    AuthorURL: https://www.linkedin.com/in/gopal-wunnava-b11a77/
  - Title: Bootstrapping GeoMesa HBase on AWS S3
    URL: http://www.geomesa.org/documentation/tutorials/geomesa-hbase-s3-on-aws.html
    AuthorName: Commonwealth Computer Research, Inc.
    AuthorURL: https://www.ccri.com
  - Title: Creating PySpark DataFrame from CSV in AWS S3 in EMR
    URL: https://gist.github.com/jakechen/6955f2de51212163312b6430555b8e0b
    AuthorName: Jake Chen
    AuthorURL: https://github.com/jakechen

How can I contribute?

You are welcome to contribute dataset entries or usage examples to the Registry of Open Data on AWS. Please review our contribution guidelines.