Sarkans, U. and Chiu, W. and Collinson, L. and Darrow, M.C. and Ellenberg, J. and Grunwald, D. and Hériché, J.-K. and Iudin, A. and Martins, G.G. and Meehan, T. and Narayan, K. and Patwardhan, A. and Russell, M.R.G. and Saibil, Helen R. and Strambio-De-Castillia, C. and Swedlow, J.R. and Tischer, C. and Uhlmann, V. and Verkade, P. and Barlow, M. and Bayraktar, O. and Birney, E. and Catavitello, C. and Cawthorne, C. and Wagner-Conrad, S. and Duke, E. and Paul-Gilloteaux, P. and Gustin, E. and Harkiolaki, M. and Kankaanpää, P. and Lemberger, T. and McEntyre, J. and Moore, J. and Nicholls, A.W. and Onami, S. and Parkinson, H. and Parsons, M. and Romanchikova, M. and Sofroniew, N. and Swoger, J. and Utz, N. and Voortman, L.M. and Wong, F. and Zhang, P. and Kleywegt, G.J. and Brazma, A. (2021) REMBI: Recommended Metadata for Biological Images—enabling reuse of microscopy data in biology. Nature Methods , ISSN 1548-7091.
Abstract
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.
Metadata
| Item Type: | Article |
|---|---|
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Natural Sciences |
| Depositing User: | Administrator |
| Date Deposited: | 27 May 2021 13:40 |
| Last Modified: | 02 Aug 2023 18:10 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/44468 |
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