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REMBI – Recommended Metadata for Biological Images

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.

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

Register now at REMBI – Recommended Metadata for Biological Images.

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