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A practical guide to bioimaging research data management in core facilities.

Christian Schmidt1, Tom Boissonnet2, Julia Dohle3

  • 1Enabling Technology Department, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Journal of Microscopy
|May 16, 2024
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Summary

Making bioimaging data findable, accessible, interoperable, and reusable (FAIR) is crucial for scientific advancement. Imaging core facilities are key to implementing FAIR data principles in life and biomedical sciences research.

Keywords:
FAIROMERObioimagingdata stewardshipresearch data management

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Area of Science:

  • Life and Biomedical Sciences
  • Microscopy and Image Analysis

Background:

  • Bioimage data is vital for data-driven discovery across scientific disciplines.
  • Implementing FAIR data principles (findable, accessible, interoperable, reusable) is essential but challenging for researchers and infrastructure.
  • Imaging core facilities are strategically positioned to lead FAIR data management transformation.

Purpose of the Study:

  • To provide an imaging-core-facility-centric perspective on adopting FAIR principles in bioimaging data management.
  • To outline current strategies and experiences in Germany for facilitating FAIR bioimage data adoption.
  • To highlight available tools and services for FAIR bioimage data management and future directions.

Main Methods:

  • Review of strategies and experiences from imaging core facilities in Germany.
  • Focus on the role of German BioImaging - Society for Microscopy and Image Analysis (GerBI-GMB).
  • Analysis of cross-institutional working groups and funded projects.

Main Results:

  • Imaging core facilities are central to advancing FAIR bioimage data management.
  • Germany has initiated cross-institutional efforts to enhance FAIR data capabilities.
  • Tools and services for FAIR implementation are becoming available, with future directions identified.

Conclusions:

  • Imaging core facilities are pivotal in driving the adoption of FAIR data principles in bioimaging.
  • Collaborative, cross-institutional initiatives are crucial for successful FAIR data implementation.
  • Continued development and strategic deployment of tools and services are necessary for the future of FAIR bioimage data.