  Background: The clinical documentation of cystoscopy includes visual and
textual materials. However, the secondary use of visual cystoscopic data for
educational and research purposes remains limited due to inefficient data
management in routine clinical practice. Methods: A conceptual framework was
designed to document cystoscopy in a standardized manner with three major
sections: data management, annotation management, and utilization management. A
Swiss-cheese model was proposed for quality control and root cause analyses. We
defined the infrastructure required to implement the framework with respect to
FAIR (findable, accessible, interoperable, re-usable) principles. We applied
two scenarios exemplifying data sharing for research and educational projects
to ensure the compliance with FAIR principles. Results: The framework was
successfully implemented while following FAIR principles. The cystoscopy atlas
produced from the framework could be presented in an educational web portal; a
total of 68 full-length qualitative videos and corresponding annotation data
were sharable for artificial intelligence projects covering frame
classification and segmentation problems at case, lesion and frame levels.
Conclusion: Our study shows that the proposed framework facilitates the storage
of the visual documentation in a standardized manner and enables FAIR data for
education and artificial intelligence research.
