CommonLocalizerMetadataTemplates

In2PrimateBrains Common Localizer Metadata Templates

NOTE: This repository is a work in progress.

The recommended way to view this repository and templates is through the hosted GitHub pages at https://in2primatebrains.github.io/CommonLocalizerMetadataTemplates/

Common Localizer Protocols

Common localizers are a set of standardized tasks and conditions performed by In2PB labs, generating recordings that can be aggregated and compared, across different brain regions and with different recording modalities.

Metadata Templates

This repository contains metadata templates to be used to describe the data generated by these localizer protocols.

There are metadata templates for the following types of data:

Category	OpenView	CEDAR JSON	odML	Create instance using CEDAR Workbench
Dataset Description	OpenView	CEDAR JSON	odML	Create instance
Subject	OpenView	CEDAR JSON	odML	Create instance
Session and Trials	OpenView	CEDAR JSON	odML	Create instance
Task and Events	OpenView	CEDAR JSON	odML	Create instance
Electrophysiology	OpenView	CEDAR JSON	odML	Create instance
Eye Tracking	OpenView	CEDAR JSON	odML	Create instance
Video Recording	OpenView	CEDAR JSON	odML	Create instance

Using the Metadata Templates

CEDAR Workbench

• Cedar Workbench Orientation
• Filling out metadata templates

In2PB Specific Instructions

If you are part of the In2PB consortium, you can use the dedicated CEDAR Workbench In2PrimateBrains account to create metadata instances.

Please contact reema.gupta[@]lmu.de to recieve the credentials for this account.

Once you have the credentials, please refer to the repo on either GIN or GitHub for detailed instructions. Note that the linked repositories are private and only accessible to In2PB organization members on either platform.

odML Templates

• odML Python API - The odML Python API is a library to work with odML templates and documents in Python.
• Tutorials on using odML - The tutorials here provide an overview of the odML data model and how to use the odML Python API to create, manipulate, and save odML documents.
• odMLtables - odML tables is a tool for interfacing with odML documents in a tabular format. You can use the CSV templates in this repository to create odML documents using odMLtables.
• More information on odML data model

Templates in other formats

The metadata templates are also available in other formats such as a CSV, simple JSON, and YAML. Note that these formats are bare representations of the metadata templates and do not contain all attributes related to the metadata fields that are present in the CEDAR JSON format. Please write to us if you intend to use these formats.

Giving Feedback

If you have any feedback or suggestions for the metadata templates, please create an issue in this repository or contact reema.gupta[@]lmu.de.