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openMINDS electrophysiology metadata model

openMINDS_ephys

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The openMINDS_ephys repository is part of the open Metadata Initiative for Neuroscience Data Structures (openMINDS). It extends openMINDS, by providing metadata schemas for in-depth descriptions of electrophysiology experiments.

To generally learn more about the openMINDS metadata framework please go to ➡️ ReadTheDocs.
There you can also explore directly the ➡️ openMINDS_ephys schema specifications.

How to cite

For specifically referencing the openMINDS_ephys metadata model, please use the following RRID Portal record:

openMINDS ephys metadata model (RRID:SCR_026250)

Please reference in addition openMINDS in general, using our main RRID Portal record:

openMINDS metadata framework (RRID:SCR_023173)

How to contribute

The openMINDS metadata framework is an open-source project and community contributions are highly appreciated. If you want to contribute please follow our ➡️ contribution guidelines.

Schema contributions to openMINDS_ephys should be raised and discussed on the ➡️ issue tracker

General usage questions should be raised and discussed in our ➡️ community forum.
Alternatively you can email us: [email protected]

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 the Specific Grant Agreements SGA-1 (No.720270), SGA-2 (No.785907), and SGA-3 (No. 945539).

The framework is further developed as part of the EBRAINS 2.0 project, funded from the European Union's Research and Innovation Program Horizon Europe under Grant Agreement GA (No.101147319).

The framework also receives support from the BigBrain Project, funded by HIBALL.

Collaboration partners

The openMINDS metadata framework 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).

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A metadata model for capturing in-depth descriptions of electrophysiology experiments.

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