The adage: 'all data is spatial' is especially pertinent in the field of neuroscience, since neuronal data must be indexed by the neuroanatomical location of phenomena or entities under study. Brain atlases are very widely used as laboratory tools, being some of the most highly cited publications in science. This project seeks to use brain atlases as a method for indexing data from the literature in a neuroinformatics system. This data includes both textual and graphical information, ranging from highly detailed maps constructed from vector-based spatial primitives, histological photographs and drawings, to textual reports of experimental findings in the literature (which we will analyze on a large scale). This project will develop a collaborative environment to enable neuroscientists to use these valuable maps within the community as a whole by contributing data to a shared system with an open-source system that permits querying, overlaying, viewing and annotating such data in an integrated manner. This project is funded by NIMH from 2009-2014 (RO1-MH079068-01A2).