Neuroimaging research data life-cycle management
Chapel Hill, NC : iRODS Consortium
IniRODS User Group Meeting 2017 Proceedings, pp. 13-22
iRODS User Group Meeting 2017 (Utrecht, Netherlands, June 13 - June 15, 2017)
Article in monograph or in proceedings
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DCCN Technical Group
PI Group MR Techniques in Brain Function
SW OZ DCC SMN
iRODS User Group Meeting 2017 Proceedings
Subject150 000 MR Techniques in Brain Function; 180 000 Predictive Brain; Action, intention, and motor control; DI-BCB_DCC_Theme 2: Perception, Action and Control
Research Data Management (RDM) aims to improve the efficiency and transparency in the scientific process and to fullfil the requirements of the funding agencies and (local) regulations. Failures in reproducing some key empirical phenomena have resulted in the research process being questioned. In response to this, many research instititions have prioritized the development of RDM. In the neuroscience and neuroimaging domains, RDM is confronted with challenges in managing large volume and diverse data, which furthermore may contain sensitive personal information. At the Donders Institute (DI), we have developed an iRODS-based research data repository, an essential component for realising a RDM workflow that spans the whole research lifecycle. The objectives of this workflow are: (1) long-term data preservation for internal reuse, (2) documenting the analysis pipeline, allowing for collaboration, and reproduction of the published results, and (3) easy sharing of data and analysis pipelines with researchers around the world.
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