A place to experiment with data packages

Each data package is in its own directory with a structure

my-data-package-directory
  |
  |- data
  |    |
  |    |- my-data.csv
  |    |- more-data.csv
  |
  |- datapackage.json
  |- README.md

Data packages:

• were originally produced by Data Curator unless noted in the README.md for that data package
• may have been hand-edited if Data Curator produced incorrect result. The difference between the original and hand-edited version will help improve Data Curator
• follow the Frictionless Data specification
• are automatically validated by Goodtables.io

On your computer:

• create a data package using Data Curator (it's best if the data package name is unique across this repository)
• use the Export Data Package command to create a datapackage.zip
• rename datapackage.zip to my-data-package-name.zip
• unzip the files
• add all the files to this repository
• update goodtables.yml to include the data package in the automatic validation

• Collectively the data packages in this repository are:
• If the data is not valid, get details of the errors at goodtables.io
• the validation performed is controlled by goodtables.yml
• It would be nice to have individual badges for each data package

• Go to Data Package Viewer and enter the url of one of the datapackage.json files
• here's an example

• Use data-desktop to install datahub-cli
• use the following commands to publish to datahub.io (docs, blog)

$ cd my-data-package-directory
$ data push

Report a bug or Request a new feature