REMBI: Recommended Metadata for Biological Images—enabling reuse of microscopy data in biology
2021; Nature Portfolio; Volume: 18; Issue: 12 Linguagem: Inglês
10.1038/s41592-021-01166-8
ISSN1548-7105
AutoresUğis Sarkans, Wah Chiu, Lucy Collinson, Michele C. Darrow, Jan Ellenberg, David Grünwald, Jean-Karim Hèriché, A. Iudin, Gabriel G. Martins, Terrence F. Meehan, Kedar Narayan, Ardan Patwardhan, Matthew R. G. Russell, Helen R. Saibil, Caterina Strambio‐De‐Castillia, Jason R. Swedlow, Christian Tischer, Virginie Uhlmann, Paul Verkade, Mary Barlow, Omer Ali Bayraktar, Ewan Birney, Cesare Catavitello, Christopher Cawthorne, Stephan Wagner-Conrad, Elizabeth Duke, Perrine Paul‐Gilloteaux, Emmanuel Gustin, Maria Harkiolaki, Pasi Kankaanpää, Thomas Lemberger, Johanna McEntyre, Josh Moore, Andrew W. Nicholls, Shuichi Onami, Helen Parkinson, Maddy Parsons, Marina Romanchikova, Nicholas Sofroniew, Jim Swoger, Nadine Utz, Lenard M. Voortman, Frances Wong, Peijun Zhang, Gerard J. Kleywegt, Alvis Brāzma,
Tópico(s)Scientific Computing and Data Management
ResumoBioimaging 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.
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