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dc.contributor.authorBreeze, Janis L.
dc.contributor.authorPoline, Jean-Baptiste
dc.contributor.authorKennedy, David N.
dc.date2022-08-11T08:10:28.000
dc.date.accessioned2022-08-23T17:10:27Z
dc.date.available2022-08-23T17:10:27Z
dc.date.issued2012-07-12
dc.date.submitted2013-01-08
dc.identifier.citationBreeze et al.: Data sharing and publishing in the field of neuroimaging. GigaScience 2012 1:9. doi:10.1186/2047-217X-1-9 <a href="http://dx.doi.org/10.1186/2047-217X-1-9" target="_blank">Link to article on publisher's site</a>
dc.identifier.doi10.1186/2047-217X-1-9
dc.identifier.urihttp://hdl.handle.net/20.500.14038/46050
dc.description.abstractThere is growing recognition of the importance of data sharing in the neurosciences, and in particular in the field of neuroimaging research, in order to best make use of the volumes of human subject data that have been acquired to date. However, a number of barriers, both practical and cultural, continue to impede the widespread practice of data sharing; these include: lack of standard infrastructure and tools for data sharing, uncertainty about how to organize and prepare the data for sharing, and researchers’ fears about unattributed data use or missed opportunities for publication. A further challenge is how the scientific community should best describe and/or reference shared data that is used in secondary analyses. Finally, issues of human research subject protections and the ethical use of such data are an ongoing source of concern for neuroimaging researchers. One crucial issue is how producers of shared data can and should be acknowledged and how this important component of science will benefit individuals in their academic careers. While we encourage the field to make use of these opportunities for data publishing, it is critical that standards for metadata, provenance, and other descriptors are used. This commentary outlines the efforts of the International Neuroinformatics Coordinating Facility Task Force on Neuroimaging Datasharing to coordinate and establish such standards, as well as potential ways forward to relieve the issues that researchers who produce these massive, reusable community resources face when making the data rapidly and freely available to the public. Both the technical and human aspects of data sharing must be addressed if we are to go forward.
dc.language.isoen_US
dc.publisherBioMed Central Ltd.
dc.rights© 2012 Breeze et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.subjectMagnetic Resonance Imaging
dc.subjectNeuroimaging
dc.subjectBrain
dc.subjectInformation Dissemination
dc.subjectNeurology
dc.subjectNeuroscience and Neurobiology
dc.subjectPsychiatry
dc.subjectPsychiatry and Psychology
dc.titleData sharing and publishing in the field of neuroimaging
dc.typeResponse or Comment
dc.source.journaltitleGigaScience
dc.source.volume1
dc.source.issue9
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1579&amp;context=psych_pp&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/psych_pp/578
dc.identifier.contextkey3568828
refterms.dateFOA2022-08-23T17:10:27Z
html.description.abstract<p>There is growing recognition of the importance of data sharing in the neurosciences, and in particular in the field of neuroimaging research, in order to best make use of the volumes of human subject data that have been acquired to date. However, a number of barriers, both practical and cultural, continue to impede the widespread practice of data sharing; these include: lack of standard infrastructure and tools for data sharing, uncertainty about how to organize and prepare the data for sharing, and researchers’ fears about unattributed data use or missed opportunities for publication. A further challenge is how the scientific community should best describe and/or reference shared data that is used in secondary analyses. Finally, issues of human research subject protections and the ethical use of such data are an ongoing source of concern for neuroimaging researchers.</p> <p>One crucial issue is how producers of shared data can and should be acknowledged and how this important component of science will benefit individuals in their academic careers. While we encourage the field to make use of these opportunities for data publishing, it is critical that standards for metadata, provenance, and other descriptors are used. This commentary outlines the efforts of the International Neuroinformatics Coordinating Facility Task Force on Neuroimaging Datasharing to coordinate and establish such standards, as well as potential ways forward to relieve the issues that researchers who produce these massive, reusable community resources face when making the data rapidly and freely available to the public. Both the technical and human aspects of data sharing must be addressed if we are to go forward.</p>
dc.identifier.submissionpathpsych_pp/578
dc.contributor.departmentDepartment of Psychiatry


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