- Modern scientific data management requires comprehensive support for the FAIR (Findable, Accessible, Interoperable, Reusable) principles. - Neuroshapes is a general approach, or design pattern, for supporting FAIR principles for diverse neuroscience data with the following benefits: - -
- - -The main goal is to provide design patterns, best practices as well as tools to promote: - -
-+# Get Started!+# Clone the repository
+$ git clone https://github.com/INCF/neuroshapes.git+$ cd neuroshapes
+# Run 'sbt'
+$ sbt
+# Run 'test'
+$ test
+# Export all the schemas to the dir /tmp/my-schemas+# using http://localhost:8080/v0 as base uri
+$ exportSchemas http://localhost:8080/v0 /tmp/my-schemas+
Modern scientific data management requires comprehensive support for the FAIR (Findable, Accessible, Interoperable, Reusable) principles. Neuroshapes is a general approach, or design pattern, for supporting FAIR principles for diverse neuroscience data with the following benefits:
Neuroshapes captures the contextual information necessary to:
The main goal is to provide design patterns, best practices as well as tools to promote:
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This SIG aims to coordinate community efforts for the development of open, use case driven and shared validatable data models (schemas, vocabularies) to enable the FAIR principles (Findable, Accessible, Interoperable and Reusable) for basic, computational and clinical neuroscience (meta)data.
Utilizing Neuroshapes in conjuction with BBP Nexus
