2026/03/24 by Silvia Melina Velasquez, Georgina Fletcher, Jean‐Marie Burel +22 · 1 voice
Biochemistry, Genetics and Molecular Biology · Computer Science · Decision Sciences · #Cell Image Analysis Techniques #Research Data Management Practices #Scientific Computing and Data Management
paper · doi:10.1111/jmi.70078
openalex publication_date 2026/03/24 · openalex created_date 2026/03/25 · openalex updated_date 2026/07/30
Effective management of imaging data is critical to ensuring reproducibility, accessibility, and long-term value of image-based biological research. However, good data management remains a major challenge across imaging facilities, with lack of standardised practices and limited training opportunities. Additionally, there is a need to upskill Research Technical Professionals (RTPs) in areas such as image data stewardship, as well as opening new career pathways. Here, we report on an approach to identify and design a training curriculum for imaging data stewardship in the UK bioimaging community. An initial survey captured current practices, challenges, and training requirements. These findings were presented at a community event, where structured feedback activities further identified pain points across the imaging data life cycle, and prioritised training needs. These consultations resulted in a three-module training framework covering data management and metadata, data storage and sharing, and public repository submission. The iterative approach provided technical guidance for curriculum design and community input on delivery models, target audiences, and incentives for engagement. This work highlights the need for training resources that address critical skill gaps, increase RTP visibility and recognition, and improve the quality of image data management.