Euro-BioImaging, alongside Simula, EPFL and the University of Bergen, is proud to announce the launch of FAIR Image Analysis Across Sciences, an initiative supported by the OSCARS project. Selected through OSCARS' competitive first open call of cascading grants, this project aims to break down disciplinary barriers in image analysis by developing robust, reusable, and interoperable workflows that align with the FAIR principles (Findable, Accessible, Interoperable, and Reusable). The project aims to foster cross-domain collaboration, enabling bioimaging, environmental sciences, and astrophysics scientists to share and reuse image analysis tools and workflows.
A Cross-Disciplinary Approach to Image Analysis
Scientific disciplines rely on imaging data to advance knowledge, yet fragmentation in tools and methodologies limits interoperability. The FAIR Image Analysis Across Sciences initiative will tackle these challenges by:
Developing and standardising FAIR workflows to be widely shared and reused across disciplines.
Leveraging open-source platforms such as Galaxy, WorkflowHub, and other FAIR-enabling resources from Science Clusters.
Promoting sustainability and accessibility, ensuring that global researchers can benefit from and contribute to these resources.
The FAIR Image Analysis Across Sciences project will empower researchers to accelerate discoveries, reduce duplication of effort, and increase reproducibility. This initiative represents a significant step forward in scientific collaboration and underscores the growing need for sustainable and FAIR image analysis practices worldwide.
Major EU funding for user access & AI development, staff training, data stewardship & many more exciting new services!
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