Integrating　brain　big　data　is　an　important　issue　of　the　systematic　Brain　Informatics　study.　Provenances　provide　a　practical　approach　to　realize　the　information-level　data　integration.　However,　the　existing　neuroimaging　provenances　focus　on　describing　experimental　conditions　and　analytical　processes,　and　cannot　meet　the　requirement　of　integrating　brain　big　data.　This　paper　puts　forward　a　provenance　model　of　brain　data,　in　which　model　elements　are　identified　and　defined　by　extending　the　Open　Provenance　Model.　A　case　study　is　also　described　to　demonstrate　significance　and　usefulness　of　the　proposed　model.　Such　a　provenance　model　facilitates　more　accurate　modeling　of　brain　data,　including　data　creation　and　data　processing　for　integrating　various　primitive　brain　data,　brain　data　related　information　during　the　systematic　Brain　Informatics　study.