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Data sharing in autism neuroimaging presents scientific, technical, and social obstacles. We outline the desiderata for a data-sharing scheme that combines imaging with other measures of phenotype and with genetics, defines requirements for comparability of derived data and recommendations for raw data, outlines a core protocol including multispectral structural and diffusion-tensor imaging and optional extensions, provides for the collection of prospective, confound-free normative data, anddoi:10.1007/s10803-006-0352-2 pmid:17347882 pmcid:PMC3076291 fatcat:4rhdtfb3fnegnfmb5xvzith4ve