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  Data sharing in neuroimaging research

Poline, J.-B., Breeze, J. L., Ghosh, S., Gorgolewski, K. J., Halchenko, Y. O., Hanke, M., et al. (2012). Data sharing in neuroimaging research. Frontiers in Neuroinformatics, 6: 9. doi:10.3389/fninf.2012.00009.

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 Creators:
Poline, Jean-Baptiste1, 2, Author
Breeze, Janis L.3, Author
Ghosh, Satrajit4, Author
Gorgolewski, Krzysztof J.5, Author           
Halchenko, Yaroslav O.6, Author
Hanke, Michael7, Author
Haselgrove, Christian8, Author
Helmer, Karl G.9, Author
Keator, David B.10, Author
Marcus, Daniel S.11, Author
Poldrack, Russell A.12, Author
Schwartz, Yannick1, Author
Ashburner, John13, Author
Kennedy, David N.8, Author
Affiliations:
1Neurospin, French Alternative Energies and Atomic Energy Commission (CEA), Gif-sur-Yvette, France, ou_persistent22              
2Henry H. Wheeler Jr. Brain Imaging Center, University of California, Berkeley, CA, USA, ou_persistent22              
3International Neuroinformatics Coordinating Facility (INCF), Karolinska Institute, Stockholm, Sweden, ou_persistent22              
4McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, USA, ou_persistent22              
5School of Informatics, University of Edinburgh, United Kingdom, ou_persistent22              
6Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, USA, ou_persistent22              
7Institute of Psychology, Otto von Guericke University Magdeburg, Germany, ou_persistent22              
8Division of Informatics, Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, USA, ou_persistent22              
9Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA, ou_persistent22              
10Department of Psychiatry and Human Behavior, University of California, Irvine, CA, USA, ou_persistent22              
11Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA, ou_persistent22              
12Imaging Research Center, University of Texas, Austin, TX, USA, ou_persistent22              
13Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom, ou_persistent22              

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Free keywords: Brain imaging; Data sharing; Standards; Magnetic resonance imaging; fMRI; EEG-MEG
 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.

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Language(s): eng - English
 Dates: 2011-10-132012-03-092012-04-05
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: PMC: 3319918
PMID: 22493576
DOI: 10.3389/fninf.2012.00009
 Degree: -

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Title: Frontiers in Neuroinformatics
  Abbreviation : Front Neuroinform
Source Genre: Journal
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Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 6 Sequence Number: 9 Start / End Page: - Identifier: ISSN: 1662-5196
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5196