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Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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[Webinar] A journey to FAIR bioimage data

Authors: Weidtkamp-Peters, Stefanie; Boissonnet, Tom; Schmidt, Christian;

[Webinar] A journey to FAIR bioimage data

Abstract

Presentation slides from an EMBL-EBI Webinar Talk within the webinar series: "How to organise and share my imaging data? - Multimodal data management for marine biologists, environmental scientists and imaging specialists" Abstract / Description Bioimaging is a pervasive and indispensable methodological approach in the life and biomedical sciences. Due to the development of new technologies and the easier access to compute resources, bioimaging experiments have become a big data discipline, facing the same challenges as other omics technologies within the life sciences. However, to fully exploit the potential of bioimage data, it is necessary to make the data FAIR. In this webinar we will present viable solutions for storing, processing, analysing, and, first and foremost, sharing bioimaging data. We will introduce services provided to the scientific community, that are dealing with various aspects of the bioimage data life cycle such as: - Where to get support for bioimage data management- Local bioimage data management: OMERO and beyond- Annotation of bioimage data: metadata, ontologies, REMBI etc- Linking your image data with experimental protocols and analysis results- Large data living in the cloud: ome.zarr- Publication of bioimage data Who is this course for? This webinar is suitable for marine biologists and environmental scientists collecting samples from the natural environment, generating, visualising, annotating and analysing large, multimodal datasets such as imaging data, and sharing their data by submitting them to public data repositories. The webinar will support you to set up an efficient data flow that is aligned with FAIR principles. This event is part of a webinar series organised by the STANDFLOW project, an initiative supported by EMBL’s Planetary biology Transversal Theme. STANDFLOW is about a collaborative effort towards creating a standardised data management workflow. The project primarily utilises imaging data derived from samples collected through the TREC (Traversing European Coastlines) and the Roscoff Culture Collection. For details on all topics covered in this series and registration information, please visit the following link: How to organise and share my imaging data?: Multimodal data management for marine biologists, and environmental scientists and imaging specialists Outcomes By the end of the webinar you will be able to: Find resources and support for bioimage data management Get started with bioimage data annotation Identify the dos and don'ts for bioimage data publication (taken from: https://www.ebi.ac.uk/training/events/journey-fair-bioimage-data/)

This work is funded the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)- under the National Research Data Infrasstructure – NFDI 46/1 – 501864659- under the project I3D:bio, grant number 462231789

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green