BY-COVID and RO-Crate collaboration brings new topic: FAIR Data, Workflows & More

Posted on: 11 May 2023

As part of the BY-COVID project, the RO-Crate team and BY-COVID members have brought several RO-Crate related tutorials into the Galaxy Training Network, under a brand new Findable Accessible Interoperable Reusable (FAIR) topic!

What are RO-Crates?

RO-Crate is a community effort to establish a lightweight approach to packaging research data with their metadata. It is based on annotations in JSON-LD, and aims to make best-practice in formal metadata description accessible and practical for use in a wider variety of situations, from an individual researcher working with a folder of data, to large data-intensive computational research environments. – RO-Crate Specification

These are the way to package up your research in a well annotated and FAIR manner.

There are a number of “profiles” within RO-Crates, we are currently focused on the “Workflow Run” profile but we encourage you to look into the other profiles

What’s new for you?

As part of this collaboration we bring you several new tutorials:

These tutorials are meant to help you learn how to use and create RO-Crates in your own work.

Where can I learn more?

These tutorials will be taught at Smörgåsbord 3 so if you want to learn more, go sign up now!

I want more FAIR Training!

While the addition of the RO-Crates tutorials marks the creation of a new Galaxy Training Network topic, FAIR training, it currently only has tutorials focused on Research Objects and specifically the workflow profile. But watch this space! More tutorials are coming soon.


These individuals or organisations provided funding support for the development of this resource

BY-COVID is an EC funded project that tackles the data challenges that can hinder effective pandemic response.

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No. 101046203 (BY-COVID)

logo of by covid with subtitle reading beyond covid

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