Background: Biomedical imaging research increasingly involves acquiring, managing and processing large\namounts of distributed imaging data. Integrated systems that combine data, meta-data and workflows are crucial\nfor realising the opportunities presented by advances in imaging facilities.\nMethods: This paper describes the design, implementation and operation of a multi-modality research imaging\ndata management system that manages imaging data obtained from biomedical imaging scanners operated at\nMonash Biomedical Imaging (MBI), Monash University in Melbourne, Australia. In addition to Digital Imaging and\nCommunications in Medicine (DICOM) images, raw data and non-DICOM biomedical data can be archived and\ndistributed by the system. Imaging data are annotated with meta-data according to a study-centric data model\nand, therefore, scientific users can find, download and process data easily.\nResults: The research imaging data management system ensures long-term usability, integrity inter-operability and\nintegration of large imaging data. Research users can securely browse and download stored images and data, and\nupload processed data via subject-oriented informatics frameworks including the Distributed and Reflective\nInformatics System (DaRIS), and the Extensible Neuroimaging Archive Toolkit (XNAT).
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