Q’kay: a manager for the quality assessment of large neuroimaging studies

Despite substantial efforts toward improving the tools to carry out the visual assessment of quality, as well as automation, the quality control (QC) of imaging data remains an onerous, yet critical step of analysis workflows, especially within large-scale studies. Indeed, the reliability and reproducibility of results can be improved by implementing QC checkpoints throughout the workflow (Niso et al. 2022, Provins et al. 2023). Here, we introduce Q’kay, a web service to deploy rigorous QC protocols on large datasets leveraging the individual reports generated by tools like MRIQC (Esteban et al., 2017) and fMRIPrep (Esteban et al., 2019).