REMBI: Recommended Metadata for Biological Images—enabling reuse of microscopy data in biology,Nature Methods

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REMBI: Recommended Metadata for Biological Images—enabling reuse of microscopy data in biology
Nature Methods ( IF 48.0 ) Pub Date : 2021-05-21 , DOI: 10.1038/s41592-021-01166-8
Ugis Sarkans ₁ , Wah Chiu ₂ , Lucy Collinson ₃ , Michele C Darrow ₄ , Jan Ellenberg ₅ , David Grunwald ₆ , Jean-Karim Hériché ₅ , Andrii Iudin ₁ , Gabriel G Martins ₇ , Terry Meehan _{1,

8} , Kedar Narayan _{9,

10} , Ardan Patwardhan ₁ , Matthew Robert Geoffrey Russell ₃ , Helen R Saibil ₁₁ , Caterina Strambio-De-Castillia ₁₂ , Jason R Swedlow ₁₃ , Christian Tischer ₁₄ , Virginie Uhlmann ₁ , Paul Verkade ₁₅ , Mary Barlow ₁ , Omer Bayraktar ₁₆ , Ewan Birney ₁ , Cesare Catavitello _{1,

17} , Christopher Cawthorne ₁₈ , Stephan Wagner-Conrad ₁₉ , Elizabeth Duke _{20,

21} , Perrine Paul-Gilloteaux _{22,

23} , Emmanuel Gustin ₂₄ , Maria Harkiolaki ₂₀ , Pasi Kankaanpää _{25,

26} , Thomas Lemberger ₂₇ , Jo McEntyre ₁ , Josh Moore ₁₃ , Andrew W Nicholls ₂₈ , Shuichi Onami ₂₉ , Helen Parkinson ₁ , Maddy Parsons ₃₀ , Marina Romanchikova ₃₁ , Nicholas Sofroniew ₃₂ , Jim Swoger ₃₃ , Nadine Utz ₃₄ , Lenard M Voortman ₃₅ , Frances Wong ₁₃ , Peijun Zhang _{20,

36} , Gerard J Kleywegt ₁ , Alvis Brazma ₁

Affiliation

European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
Department of Bioengineering, Stanford University, Stanford and SLAC National Accelerator Laboratory, Menlo Park, CA, USA.
Francis Crick Institute, London, UK.
SPT Labtech Ltd, Melbourn, UK.
Cell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
RNA Therapeutics Institute, University of Massachusetts Medical School, Worcester, MA, USA.
Instituto Gulbenkian de Ciencia Oeiras, Lisboa, Portugal.
Kymab Ltd., Babraham Research Campus, Cambridge, UK.
Center for Molecular Microscopy, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, MD, USA.
Institute of Structural and Molecular Biology, Birkbeck, University of London, London, UK.
Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA, USA.
Division of Computational Biology and Centre for Gene Regulation and Expression, University of Dundee, Dundee, UK.
Centre for Bioimage Analysis, European Molecular Biology Laboratory, Heidelberg, Germany.
School of Biochemistry, University of Bristol, Bristol, UK.
Wellcome Sanger Institute, Hinxton, UK.
Ebury UK, London, UK.
Nuclear Medicine and Molecular Imaging, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Carl Zeiss Microscopy GmbH, Jena, Germany.
Diamond Light Source, Harwell Science and Innovation Campus, Harwell, UK.
European Molecular Biology Laboratory, Hamburg, Germany.
Université de Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France.
Université de Nantes, CHU Nantes, Inserm, CNRS, SFR Santé, Inserm UMS 016, CNRS UMS 3556, Nantes, France.
Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium.
Turku BioImaging, University of Turku and Åbo Akademi University, Turku, Finland.
Euro-BioImaging ERIC, Turku, Finland.
EMBO, Heidelberg, Germany.
GlaxoSmithKline R&D, Stevenage, UK.
RIKEN Center for Biosystems Dynamics Research, Kobe, Japan.
Randall Centre for Cell and Molecular Biophysics, King's College London, London, UK.
National Physical Laboratory, Teddington, UK.
Chan Zuckerberg Initiative, Redwood City, CA, USA.
European Molecular Biology Laboratory, Barcelona, Spain.
German BioImaging e.V., University of Konstanz, Konstanz, Germany.
Department of Cell and Chemical Biology, Leiden University Medical Center, Leiden, the Netherlands.
Division of Structural Biology, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.

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.

中文翻译：

REMBI：推荐的生物图像元数据——使显微镜数据能够在生物学中重复使用

生物成像数据具有重用的巨大潜力，但要释放这种潜力，需要在公共数据库中系统地归档数据和元数据。我们提出元数据指南草案，以开始解决光学和电子显微镜中不同社区的需求。我们希望本出版物和拟议的生物图像推荐元数据 (REMBI) 将激发有关其实施和未来扩展的讨论。

更新日期：2021-05-22

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