Welcome to the openMINDS documentation!

openMINDS is a metadata framework for linked data. The framework comprises:

Schema specifications for multiple, interlocked metadata models
Instance libraries for serviceable, well-defined terms and constructs
Supportive tooling for handling openMINDS in Python or MATLAB

Applying the openMINDS framework to your own data collection, requires you to design a graph representation (linked data model) of your data. What this means and how to approach this challenge is described in Getting started.

Note

This project is under active development. As an open-source project community contributions are highly appreciated (cf. contribution guidelines).

Funding and acknowledgements

The openMINDS metadata framework development started in the Human Brain Project (HBP), funded from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under Specific Grant Agreement (SGA) No. 720270, No. 785907, and No. 945539.

The framework currently receives funding from the European Union’s Research and Innovation Program Horizon Europe under Grant Agreement No. 101147319 (EBRAINS 2.0 project).

The framework also receives support from the Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL).

Collaboration partners

openMINDS is closely collaborating with the InterLex Project of the SciCrunch Data and Resource Infrastructure and the KnowledgeSpace hosted by the International Neuroinformatics Coordinating Facility (INCF).