UBSN DMS is a complete solution for researchers to manage their research outputs. After conducting research in one of UBSN's facilities, users will be able to upload the data to an online platform that is easily accessible and secure. Users can download their data to their local computers or choose to use one of our remote services for processing data online.
General Architecture of UBSN Data Management System
UBSN DMS is composed of three components, including:
(1) the UBSN Data Archive for storing of data captured using our UBSN facilities,
(2) the Virtual Lab (vLAB) Remote Desktop Service for users to processing their data online, and
(3) the UBSN High Performance Computing Service for advanced heavy-duty data analysis.
The core component of the UBSN DMS is the UBSN Data Archive. It is based on a customized version of the popular open source imaging informatics software, namely the Extensible Neuroimaging Archive Toolkit (XNAT). XNAT was originally developed by the Neuroinformatics Research Group at Washington University (Marcus et al. 2007). It provides the following functions:
• Uploading of research data
• Organizing and sharing data
• Viewing and downloading data
• Securing and managing access to data
• searching and exploring large data set
• running complex processing on data using high-powered computing
Due to its high extensibility, XNAT can be customized to support a wide range of neuroscience research data, including those involved in ongoing and prospective projects in UBSN such as fMRI, DTI, EEG and fNIRS. It also provide application programming interface (API) so that researchers can write custom scripts on High Performance Computer Clusters based on popular programming languages such as Python to exchange data with the system and perform intensive data analysis on the clusters. Nowadays, XNAT is the backbone of the data management systems in many inter-institutional neuroscience projects such as the Human Connectome Project and the Brain-CODE project (Vaccarino et al. 2018).