The Multimodal and Functional Imaging Laboratory (MAFIL) is one of the critical facilities at CEITEC MUNI and part of the extensive national research infrastructure Czech-BioImaging and the European research infrastructure Euro-BioImaging. Its main task is to provide access to medical imaging technologies – primarily magnetic resonance imaging accompanied by various electrophysiological methods.

The primary objective of this thesis is to improve the neuroimaging data and metadata processing workflow for MAFIL. This enhancement aims to promote the adoption of FAIR principles, thereby facilitating the sharing and utilization of research data. The key goal is to develop a backend application that converts input neuromedical data into the Brain Imaging Data Structure (BIDS) format, which is ideal for data publication. An essential part of this process is integrating previously explored and tested methods for anonymizing neuromedical image data and supplementing them with anonymization-enabled (meta)data elements.