Faster than ever, neuroscience is generating vast amounts of data that awai
t cross-referencing, comparison, integration and interpretation in the ende
avour to unravel the mechanisms of the brain. The complex, diverse and dist
ributed nature of these data requires the development of advanced neuroinfo
rmatics methodologies for databases and associated tools that are now begin
ning to emerge. This paper presents an overview of current issues in the re
presentation, integration and analysis of neuroscience data from molecular
to brain systems levels, including issues of implementation, standardizatio
n, management, quality control, copyright, confidentiality and acceptance.
Particular emphasis is given to integrative neuroinformatics approaches for
exploring structure-function relationships in the brain.