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Efforts to expand sharing of neuroimaging data have been growing exponentially in recent years. There are several different types of data sharing which can be considered to fall along a spectrum, ranging from simpler and less informative to more complex and more informative. In this paper we consider this spectrum for three domains: data capture, data density, and data analysis. Here the focus is on the right end of the spectrum, that is, how to maximize the information content while addressingdoi:10.1186/s13742-014-0042-5 pmid:25653850 pmcid:PMC4316396 fatcat:lqac6bj6cjc5dc4lhvwn4zdkvy