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Building a FAIR image data ecosystem for microscopy communities
Isabel Kemmer1, Antje Keppler1, Beatriz Serrano-Solano1
1Euro-BioImaging ERIC Bio-Hub, European Molecular Biology Laboratory (EMBL) Heidelberg, Meyerhofstraße 1, 69117, Heidelberg, Germany.
Histochemistry and Cell Biology
|June 21, 2023
Summary
The microscopy community is developing solutions for big data challenges in bioimaging. Efforts focus on harmonized data handling and analysis to achieve FAIR bioimaging data principles.
Area of Science:
- Microscopy and Bioimaging
Background:
- Bioimaging generates large, complex datasets due to rapid advancements in microscopy.
- Current data handling, analysis, and management practices hinder the full utilization of bioimaging data.
Purpose of the Study:
- To outline community efforts addressing challenges in FAIR bioimaging data.
- To highlight collaborative synergies and the role of research infrastructures in advancing bioimaging.
Main Methods:
- Review of current initiatives and solutions within the microscopy community.
- Analysis of collaborative efforts among diverse stakeholders in the microscopy ecosystem.
Main Results:
- Development of strategies and solutions for FAIR bioimaging data.
- Identification of synergistic approaches and the role of research infrastructures like Euro-BioImaging.
Conclusions:
- The microscopy community is actively working towards FAIR bioimaging data principles.
- Collaboration and research infrastructures are crucial for overcoming big data challenges in bioimaging.
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