A distributed workflow for managing and processing neuroimaging dataIn every large-scale neuroscience project, storing, managing, and processing a large amount of neuroimaging data can be a challenge especially when the data is heterogeneous, and sourced from multiple sites. Besides getting all the acquired data together in one convenient place and having people from different centers distributed worldwide working on the processing and analysis of the data, one has to deal with the regulations for access control and de-identification for the different locations of the contributing sites. In this whitepaper, we describe one such neuroscience project and we present our solution at QMENTA implemented together with the UCSF School of Medicine, Department of Neurology. In the end,

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