REMBI: Recommended Metadata for Biological Images-enabling reuse of microscopy data in biology
: Sarkans Ugis, Chiu Wah, Collinson Lucy, Darrow Michele C., Ellenberg Jan, Grunwald David, Hériché Jean-Karim, Iudin Andrii, Martins Gabriel G., Meehan Terry, Narayan Kedar, Patwardhan Ardan, Russell Matthew Robert Geoffrey, Saibil Helen R., Strambio-De-Castillia Caterina, Swedlow Jason R., Tischer Christian, Uhlmann Virginie, Verkade Paul, Barlow Mary, Bayraktar Omer, Birney Ewan, Catavitello Cesare, Cawthorne Christopher, Wagner-Conrad Stephan, Duke Elizabeth, Paul-Gilloteaux Perrine, Gustin Emmanuel, Harkiolaki Maria, Kankaanpää Pasi, Lemberger Thomas, McEntyre Jo, Moore Josh, Nicholls Andrew W., Onami Shuichi, Parkinson Helen, Parsons Maddy, Romanchikova Marina, Sofroniew Nicholas, Swoger Jim, Utz Nadine, Voortman Lenard M., Wong Frances, Zhang Peijun, Kleywegt Gerard J., Brazma Alvis
Publisher: NATURE RESEARCH
: 2021
: Nature Methods
: NATURE METHODS
: NAT METHODS
: 5
: 1548-7091
: 1548-7105
DOI: https://doi.org/10.1038/s41592-021-01166-8
: https://www.nature.com/articles/s41592-021-01166-8
Bioimaging data have significant potential for reuse, but unlocking this potential requires systematic archiving of data and metadata in public databases. We propose draft metadata guidelines to begin addressing the needs of diverse communities within light and electron microscopy. We hope this publication and the proposed Recommended Metadata for Biological Images (REMBI) will stimulate discussions about their implementation and future extension.
