REMBI: Recommended Metadata for Biological Images-enabling reuse of microscopy data in biology

Nat Methods. 2021 Dec;18(12):1418-1422. doi: 10.1038/s41592-021-01166-8.

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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Animals
  • Computational Biology / methods*
  • Congresses as Topic
  • Cryoelectron Microscopy / methods
  • Data Mining / methods
  • Databases, Factual
  • Diagnostic Imaging / methods
  • Humans
  • Image Processing, Computer-Assisted / methods*
  • Metadata*
  • Microscopy
  • Software