Javascript is required

Release of Whyqd Hub 0.1.0

Gavin Chait, 27 February 2023

whyqd provides an intuitive method for schema-to-schema data transforms for research data reuse, and for restructuring ugly data to conform to a standardised metadata schema. It supports data managers and researchers looking to rapidly, and continuously, ensure schema interoperability for tabular data using a simple series of steps. Once complete, you can import wrangled data into more complex analytical systems or full-feature wrangling tools.

You can already use the whyqd Python distribution, and today marks the release of this Whyqd Hub platform for 'no-code' data and team management for data science.

Read more about this project and our roadmap.

The notes for this 0.1.0 release:

We will be at Research Data Alliance's 20th Plenary in Gothenburg from 20 to 24 March. If you're going to be there and would like to meet, please contact us.

Until next time, let's go have some coffee.

©️ Gavin Chait 2023. Licensed under CC BY-SA 4.0.