Finding　and　learning　related　research　is　a　necessary　work　in　Brain　Informatics　studies.　However,　the　keyword-based　search　on　brain　and　mental　big　data　center　often　brings　a　large　amount　of　unnecessary　results.　It　is　very　difficult　to　find　needed　research　from　those　results　for　researchers.　This　paper　proposes　a　Brain　Informatics　research　recommendation　system　based　on　the　Data-Brain　and　BI　provenances.　By　choosing　interest　aspects　from　the　Data-Brain　and　applying　the　unification　of　search　and　reasoning　based　on　Data-Brain　interests,　the　more　accurate　search　can　be　realized　to　find　really　related　literatures　for　supporting　systematic　Brain　Informatics　studies.　©　2014　Springer　International　Publishing.