Major step taken toward an open and shared digital brain atlasing framework

Easier data sharing and integration has the potential to transform collaborative research
Modern brain research generates immense quantities of data across different levels of detail, from gene activity to large-scale structure, using a wide array of methods. Each method has its own type of data and is stored in different databases. Integrating findings across levels of detail and from different databases, for example to find a link between gene expression and disease, is therefore challenging and time consuming. In addition, combining data from multiple types of brain studies provides a basis for new insights and is crucial for the progress of neuroscience research. Far too often, scientific progress is hindered by technical barriers to integrating data from different experiments and laboratories.
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