Enter, manage and publish your metadata
Collaboratively create and edit the metadata through EBRAINS professional curation which supports you by input aids and built-in ontologies. Review data and publish revisions of your metadata to achieve high quality standards.
Access metadata programmatically
You want to query the metadata programmatically for your own application or reports? Make use of the easy-to-use KG Query mechanism and profit from the KG QueryBuilder - a UI that allows you to define your queries conveniently through your webbrowser.
Visualize and manage the Knowledge Graph
We have built visualizations to show different aspects of the Knowledge Graph. See Knowledge Graph statistics and learn about how we manage the Knowledge Graph.
What is the EBRAINS Knowledge Graph?
We built the EBRAINS Knowledge Graph (KG) to help you find and share the data you need to make your next discovery. We also built it to connect you to the software and hardware tools which will help you analyse the data you have and the data you find.
The EBRAINS Knowledge Graph supports rich terminologies, ontologies and controlled vocabularies. The system is built by design to support iterative elaborations of common standards and supports these by probabilistic suggestion and review systems.
The EBRAINS Knowledge Graph is a multi-modal metadata store which brings together information from different fields on brain research. At the core of the EBRAINS Knowledge Graph, a graph database tracks the linkage between experimental data and neuroscientific data science supporting more extensive data reuse and complex computational research than would be possible otherwise.
Find more information depending on:
- ... if you're looking for data
- ... if you want to annotate, manage and share data
- ... if you're a developer and you would like to integrate with the EBRAINS Knowledge Graph
- ... if you're looking how to run / administer the EBRAINS Knowledge Graph
- ... if you want to get deep into the technical details.
Or contact us by e-mail: email@example.com
This open source software code was developed in part or in whole in the Human Brain Project, funded from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under Specific Grant Agreements No. 720270 and No. 785907 (Human Brain Project SGA1 and SGA2).