We’ve published a new paper using the Neuroimaging Data Model (NIDM) we’ve been developing for many years.  NIDM was started by an international team of cognitive scientists, computer scientists and statisticians, including PIs of this project, to develop a data format capable of describing all aspects of the data lifecycle, from raw data through analyses and provenance.  Our new published work shows how we’ve used NIDM to model mass univariate statistics in neuroimaging.

Maumet, C. et al. Sharing brain mapping statistical results with the neuroimaging data model. Sci. Data 3:160102 doi: 10.1038/sdata.2016.102 (2016).

For more NIDM info see: http://www.sciencedirect.com/science/article/pii/S105381191300596X

I am proud to announce this new P41 biotechnology research resource I am part of.   The Center for Reproducible Neuroimaging Computation, seeks to implement a shift in the way neuroimaging research is performed and reported. Through the development and implementation of a FAIR (Findable, Accessible, Interoperable and Reusable, Wilkinson et al., 2016) technology stack that supports a comprehensive set of data management, analysis, and utilization frameworks in support of both basic research and clinical activities, our overarching goal is to improve the reproducibility of neuroimaging science and extend the value of our national investment in neuroimaging research.

Stay tuned for interesting training materials and workshops on reproducibility!