NIDM is an open data-exchange standard that applies semantic-web technology — RDF and the W3C PROV provenance model — to describe and share neuroimaging data, the provenance of analysis workflows, and statistical results. It was co-developed within the international neuroinformatics community (INCF) to make brain-imaging results structured, machine-readable, and reproducible.
My doctoral and postdoctoral work co-founded and built out NIDM, including distributed, provenance-tracking computation over brain-imaging data and the integration of NIDM into large studies such as NCANDA.