What will you learn?

Navigating the intricacies of making your bioimage data FAIR (Findable, Accessible, Interoperable, and Reusable) can seem overwhelming. This session offers strategies for effectively sharing your data and breaking down the required metadata into manageable tasks based on the REMBI (Recommended Metadata for Biological Images) guidelines.

Who is this for?

This course welcomes anyone utilising imaging techniques to advance their understanding of biological systems.

Course prerequisites 

None.

However, participants are encouraged to familiarise themselves with the Galaxy platform and available training materials.

Questions and contact

Should you have any questions, please contact us at [email protected]

---

This course is funded as part of the UKRI Innovation Scholars. Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1)