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How to initialize a data package using data tool
2018-05-14
anuveyatsu

In this article we explain how easy is adding a datapackage.json file for your data. You need to have data tool installed - download it and follow these instructions.

[!info]If you're not familiar with 'datapackage.json', Please, read this article - https://datahub.io/docs/data-packages.

Below is how our project looks like initially:

$ ls

README.md   sample.csv   sample.json

We will use data init command to create a datapackage.json file for this project below.

Default mode

By default, data init command runs in non-interactive mode. No arguments and options are required, it will scan current working directory and all nested directories for the available files:

$ data init

\> This process initializes a new datapackage.json file.

\> Once there is a datapackage.json file, you can still run 'data init' to update/extend it.

\> Press ^C at any time to quit.

\> Detected special file: README.md

\> sample.csv is just added to resources

\> sample.json is just added to resources

\> Default "ODC-PDDL" license is added. If you would like to add a different license, run 'data init -i' or edit 'datapackage.json' manually.

\> 💾 Descriptor is saved in "datapackage.json"

and now the project contains datapackage.json:

$ ls

README.md  datapackage.json  sample.csv  sample.json

If you take a look at datapackage.json, you'd mention that:

  • it uses name of the current working directory as name property and generates title from it
  • it adds sample.csv and sample.json files into resources list with schema for tabular data
  • it detects README.md and uses its content in readme property; description property is the first 100 characters of the readme
  • it adds default ODC-PDDL license

Interactive mode

If you need more control, e.g., you want to add only certain files, scan certain directories and add a different license, you can use init command in interactive mode:

$ data init -i

What's next?

You can now deploy your dataset to DataHub:

$ data push

Want to learn more? Visit our docs page - https://datahub.io/docs