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. 2012 Apr 5:6:9.
doi: 10.3389/fninf.2012.00009. eCollection 2012.

Data sharing in neuroimaging research

Jean-Baptiste Poline  1 , Janis L Breeze, Satrajit Ghosh, Krzysztof Gorgolewski, Yaroslav O Halchenko, Michael Hanke, Christian Haselgrove, Karl G Helmer, David B Keator, Daniel S Marcus, Russell A Poldrack, Yannick Schwartz, John Ashburner, David N Kennedy
Affiliations

Data sharing in neuroimaging research

Jean-Baptiste Poline et al. Front Neuroinform. .

Abstract

Significant resources around the world have been invested in neuroimaging studies of brain function and disease. Easier access to this large body of work should have profound impact on research in cognitive neuroscience and psychiatry, leading to advances in the diagnosis and treatment of psychiatric and neurological disease. A trend toward increased sharing of neuroimaging data has emerged in recent years. Nevertheless, a number of barriers continue to impede momentum. Many researchers and institutions remain uncertain about how to share data or lack the tools and expertise to participate in data sharing. The use of electronic data capture (EDC) methods for neuroimaging greatly simplifies the task of data collection and has the potential to help standardize many aspects of data sharing. We review here the motivations for sharing neuroimaging data, the current data sharing landscape, and the sociological or technical barriers that still need to be addressed. The INCF Task Force on Neuroimaging Datasharing, in conjunction with several collaborative groups around the world, has started work on several tools to ease and eventually automate the practice of data sharing. It is hoped that such tools will allow researchers to easily share raw, processed, and derived neuroimaging data, with appropriate metadata and provenance records, and will improve the reproducibility of neuroimaging studies. By providing seamless integration of data sharing and analysis tools within a commodity research environment, the Task Force seeks to identify and minimize barriers to data sharing in the field of neuroimaging.

Keywords: EEG-MEG; brain imaging; data sharing; fMRI; magnetic resonance imaging; standards.

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Figures

Figure 1
Figure 1
Electronic Data Capture (EDC) workflow for data sharing in neuroimaging research.
See this image and copyright information in PMC

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