Topic: EBRAINS Knowledge Graph

The Allen Gene Expression ISH dataset has been a highly impactful resource for Neuroscientists. Mapping the location within the brain of more than 20,000 genes, it has transformed our understanding of the relationship between gene expression and neuroanatomical structures. Nevertheless, at nearly 20 years old, the accuracy of aligning or matching the ISH section images to the corresponding regions or structures in the atlas was limited by the registration technology available at the time. As a result, the registrations provided by the Allen Institute are accurate to approximately 300 μm. Here

The shift towards open science enables the exploration of an increasing variety of neuroscience datasets. The diversity of data formats, ways to organize and describe data, however, pose a significant challenge for reproducing and reusing scientific outputs. To address this, we developed an efficient data curation workflow for sharing FAIR and integrated neuroscience data. This workflow is well documented and continuously refined to meet researchers' needs.The aim of the data curation process is to build the best possible metadata representation of the data for discoverability and reuse. Accor