Aiming　at　the　characteristics　of　human　thinking　centric　studies,　Brain　Informatics　(BI)　adopts　a　multi-aspect　data　analysis　approach　for　realizing　systematic　human　brain　data　analysis.　However,　the　existing　expert-driven　and　individual　capabilities　based　approach　cannot　realize　a　holistic　multi-aspect　brain　data　analysis　because　of　the　limitation　of　individual　capabilities　of　researchers.　In　this　paper,　we　propose　a　Data-Brain　driven　approach　for　multi-aspect　mining　process　planning,　by　which　various　brain　data　and　analytical　methods　in　BI　community　can　be　dynamically　integrated　to　get　all　of　the　possible　mining　workflows.　This　Data-Brain　driven　approach　can　reduce　the　dependency　on　individual　capabilities　and　guide　the　holistic　multi-aspect　data　analysis.　©　2010　IEEE.