csvcubed uses json with a schema that supports rich auto-complete to help you describe your data in a configuration file. Using an integrated development environment, like Visual Studio Code, you will be assisted in selecting the correct fields, their scope, and suggested contents upon which csvcubed can build a well-described CSVW.
Start your no missing dot json file with the current schema reference url to have access to auto-complete and validation within Visual Studio Code. I have started with this on the screen.
Next I'm going to paste in some possible config values to help describe our Sweden at Eurovision no missing data set.
You might notice that "title", "summary", and "description" are similar. We suggest that the
title contains a short human readable identifier for the dataset.
Summary be a single line of text summarizing the dataset. And
description be used as a longer free text field for a more thorough description of its contents.
Providing detailed information improves discoverability, and we recommend that everyone publishing a CSVW includes a link to a license. For example, creativecommons.org have many licenses which may be suitable for your data.
There were many other fields available to describe and improved discoverability of your data set. The guide documentation section on metadata is an excellent resource if you want further details.
Next we'll link data.