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Imaging data management

A community effort to implement FAIR principles

    • Course overview
    • Search within this course
    • Let's begin with sharing our learnings and resources
      • What you will learn
    • Scientific method and data life cycle
      • Data life cycle
        • Principles of research data management
      • Understanding FAIR and Open data
        • Go FAIR, go open, go smart: case studies
      • Check your learning I
    • Technical and practical aspects of data management
      • A journey to FAIR bioimage data
      • Data management in a bioimage informatics data flow
      • Check your learning II
    • Towards a standardised open imaging data format: OME–Zarr
      • An introduction to Bio-Formats, OME-TIFF, and OME-Zarr
      • Tools for working with OME-Zarr
      • Check your learning III
    • Data storage: Public Repositories, REMBI, and Ontologies
      • Open FAIR data: the role of public data archives
      • REcommended Metadata for Biological Imaging (REMBI)
        • Using REMBI in your project
        • Imaging data annotations
      • Using ontologies for FAIR data
        • Public resources and tips for biological ontologies
      • Check your learning IV
    • Working together
      • Working together: A step by step process
      • Check your learning V
    • Identity yourself in the data world
    • Summary and acknowledgements
    • Authors' affiliations
    • Your feedback
    • Resources and references

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