As　a　crucial　step　in　understanding　human　intelligence,　Brain　Informatics　(BI)　focuses　on　thinking　centric　investigations　of　human　cognitive　functions　with　respect　to　multiple　activated　brain　areas　and　neurobiological　processes　for　a　given　task.　Although　it　has　been　recognized　that　systematic　human　brain　data　analysis　is　an　important　issue　of　BI　methodology,　the　existing　expert-driven　multi-aspect　data　analysis　excessively　depends　on　individual　capabilities　and　cannot　be　widely　adopted　in　BI　community.　In　this　paper,　we　propose　a　Data-Brain　driven　approach　for　systematic　brain　data　analysis,　which　is　implemented　by　using　the　Data-Brain,　Data-Brain　based　BI　provenances　and　Global　Learning　Scheme　for　BI.　Furthermore,　a　human　numerical　inductive　reasoning　centric　investigation　is　described　to　demonstrate　significance　and　usefulness　of　the　proposed　approach.　Such　a　Data-Brain　driven　approach　reduces　the　dependency　on　individual　capabilities　and　provides　a　practical　way　for　realizing　the　systematic　human　brain　data　analysis　of　BI　methodology.　(C)　2011　Elsevier　B.V.　All　rights　reserved.