Nipoppy: a framework for the organization and decentralized processing of neuroimaging-clinical data

Michelle Wang Presenter
McGill University
Montreal, Quebec 
Canada
 
Tuesday, Jun 25: 12:00 PM - 1:15 PM
1136 
Oral Sessions 
COEX 
Room: Grand Ballroom 103 
Many of the existing software platforms for reproducible neuroimaging data processing are centralized (i.e. requiring data to be uploaded to a third-party server) [1,2], which is not always possible due to concerns about data privacy and ownership. Moreover, processing of prospective studies with ongoing data collection is challenging: since different software tools and versions can produce different results [3], care needs to be taken to ensure that the new data are processed in the same way as the already processed data. We introduce Nipoppy, a collaborative and open framework that can help achieve decentralized processing of ongoing studies with neuroimaging and clinical data. Nipoppy aims to facilitate every stage of data organization and processing, be flexible and extensible to handle various types of datasets and pipelines, and promote methods transparency and reusability of neuroimaging-clinical data.