This module focuses on aspects of the FAIR data principles: Findability, Accessibility, Interoperability, and Reusability.
This module aims to provide a brief introduction to the REMBI guidelines.
Recommended Metadata for Biological Images (REMBI) is a set of guidelines for a metadata within light and electron microscopy to enable FAIR sharing of scientific data. REMBI aims to enable wider sharing and reuse of bioimaging data and is planned to be adopted by initiatives such as BioImage Archive, EMPIAR, Cell-IDR and Tissue-IDR databases.
Presenter: Aybuke Kupcu Yoldas, European Bioinformatics Institute, United Kingdom
Open access Nature Methods article describing REMBI and the proposed metadata guidelines within light and electron microscopy to enable reuse of bioimaging data.
FAIRsharing registry contains REMBI entry accessible at the link above.
This module aims to provide detailed instructions for using the REMBI guidelines.
Presenter: Laura Cooper, University of Warwick, United Kingdom
Presenter: Laura Cooper, University of Warwick, United Kingdom
Presenter: Laura Cooper, University of Warwick, United Kingdom
Presenter: Laura Cooper, University of Warwick, United Kingdom
Presenter: Laura Cooper, University of Warwick, United Kingdom
Presenter: Laura Cooper, University of Warwick, United Kingdom
Presenter: Laura Cooper, University of Warwick, United Kingdom
Presenter: Laura Cooper, University of Warwick, United Kingdom
Presenter: Laura Cooper, University of Warwick, United Kingdom
Presenter: Laura Cooper, University of Warwick, United Kingdom
This project has been made possible in part by a grant from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation.
