REcommended Metadata for Biological Imaging (REMBI)
Date: 13 October 2026 @ 09:00 - 17:00
Duration: P1DT8H
Language of instruction: English
Research Data Management is a huge challenge for the whole scientific community. Biological imaging data is notoriously diverse and complex. Meeting FAIR (Findable, Accessible, Interoperable, Reusable) imaging data principles is often a burden for biologists, given the broad scope of preservation, sharing, and metadata organization.Fortunately, public repositories like BioImage Archive support scientists in addressing these challenges by providing a secure place for their imaging data following a metadata schema - REcommended Metadata for Biological Imaging (REMBI). This workshop aims to explore the REMBI schema together by working directly with participants' data examples. Whether you manage yours or someone else's bioimaging data, or have just started a project with a prospect of acquiring bioimaging data, this workshop is for you. You are welcome to bring your own dataset to work with during the workshop. Make your ot your collaborators' bioimaging data FAIR; bring a laptop. Using an interactive, gamified approach, we will understand and apply REMBI standards to the imaging data.
Keywords: imaging
Venue: Leuven - Campus Gasthuisberg, Herestraat 49
City: Leuven
Country: Belgium
Postcode: 3000
Learning objectives:
- “Apply REMBI recommendations to increase the FAIR principles of a biological imaging dataset”
- “Classify metadata elements from a biological imaging dataset into the appropriate REMBI modules”
- “Describe the purpose structure and key principles of REMBI”
- “Evaluate the applicability and limitations of the REMBI framework for diverse bioimaging use cases and propose solutions for metadata challenges”
- “Prepare and submit a biological imaging dataset with the required metadata for deposition in the BioImage Archive”
Organizer: VIB (https://ror.org/03xrhmk39)
Event types:
- Workshops and courses
Instructors: 
Alexandra Zakieva
Activity log
