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. 2013 Feb 6;7:9.
doi: 10.3389/fnins.2013.00009. eCollection 2013.

Making Data Sharing Count: A Publication-Based Solution

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Free PMC article

Making Data Sharing Count: A Publication-Based Solution

Krzysztof J Gorgolewski et al. Front Neurosci. .
Free PMC article

Abstract

The neuroimaging community has been increasingly called up to openly share data. Although data sharing has been a cornerstone of large-scale data consortia, the incentive for the individual researcher remains unclear. Other fields have benefited from embracing a data publication form - the data paper - that allows researchers to publish their datasets as a citable scientific publication. Such publishing mechanisms both give credit that is recognizable within the scientific ecosystem, and also ensure the quality of the published data and metadata through the peer review process. We discuss the specific challenges of adapting data papers to the needs of the neuroimaging community, and we propose guidelines for the structure as well as review process.

Keywords: credit assignment; data paper; data quality; data sharing; peer review.

Figures

Figure 1
Figure 1
The current model of data sharing (top) offers limited practical return for the data generator (top left). Data papers (center) enable researchers to publish and be cited for their efforts, thereby providing a clear mechanism for professional recognition (left).

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