CONP Portal | Dataset


RECOVER: REaching patients with a COncussion Visiting the Emergency Room to enhance care
Creators: Ontario Brain Institute
Contact: Brain-CODE, datarelease@braincode.ca
Licenses: Refer to Brain-CODE Governance Policy
Version: 1.0
Formats: BVAL BVEC CSV DOCX JSON NIfTI
Size: 5.2 GB
No of Files: 672
No of Subjects: 16
Metadata file: DATS.json
Is About: Homo sapiens
Acknowledges: Ontario Brain Institute, Government of Ontario
Spatial Coverage: Canada
Other Dates: Start Date: 2021-04-01 00:00:00 -- End Date: 2022-03-31 00:00:00
Description:
The Concussion Ontario Network: Neuroinformatics to Enhance Clinical care and Translation (CONNECT) is a collaborative network of 10 clinical sites across Ontario that aim to ensure new knowledge of concussion is translated into better diagnosis and care for the benefit of all Ontarians. Given that the pathophysiology of concussion is largely unknown, a systems approach could provide a holistic framework for the study of concussion. Therefore, the overall purpose of the RECOVER pilot study is to demonstrate the ability to characterize ultra-early acute concussion in adults using a harmonized multi-scale system approach by collecting data that are potential predictors of persistent post-concussion symptoms (PPCS) over a 12- week period.

Dataset README information

README.md

RECOVER: REaching patients with a COncussion Visiting the Emergency Room to enhance care

Dr. Andrew Baker, Dr. Cindy Hunt, Dr. Anil Dosaj, Alicja Michalak, Dr. Alun Ackery, Dr. Nathan Churchill, Dr. Michael Cusimano, Dr. Tom Schweizer, Dr. Karl Zabjek

Overview

The Concussion Ontario Network: Neuroinformatics to Enhance Clinical care and Translation (CONNECT) is a collaborative network of 10 clinical sites across Ontario that aim to ensure new knowledge of concussion is translated into better diagnosis and care for the benefit of all Ontarians. Given that the pathophysiology of concussion is largely unknown, a systems approach could provide a holistic framework for the study of concussion. Therefore, the overall purpose of the RECOVER pilot study is to demonstrate the ability to characterize ultra-early acute concussion in adults using a harmonized multi-scale system approach by collecting data that are potential predictors of persistent post-concussion symptoms (PPCS) over a 12- week period.

Data organization

Data is organized into packages by Timepoint, Imaging Scan Type, and Clinical Data Collection Domain.

Access information

To gain access to Brain-CODE Controlled Data Release data, Study Investigators will submit requests via Data Release Portals at www.braincode.ca. These requests will be reviewed by the Brain-CODE Data Access Committee and the Brain-CODE Steering Committee. Learn more about these Committees in the Brain-CODE Governance Policy (https://braininstitute.ca/docs/Brain-CODE-Governance-Policy-version-FINAL.pdf).

Visit the Brain-CODE Knowledge Base to learn more about our data releases.

Download Using DataLad

CircleCI status

The following instructions require a basic understanding of UNIX/LINUX command lines. Future portal functionality may include downloads directly from the web browser. Dataset download is currently enabled through DataLad.

Note: The conp-dataset requires version >=0.12.5 of DataLad and version >=8.20200309 of git-annex.

To install DataLad on your system, please refer to the install section of the DataLad Handbook (installation via miniconda is recommended in order to obtain the latest version of DataLad).

1) Initiate the CONP dataset

To initiate the CONP dataset (conp-dataset), run the following command in the directory where you want CONP datasets to be installed:

datalad install https://github.com/CONP-PCNO/conp-dataset.git

2) Install the braincode_CONNECT_RECOVER dataset

To install the dataset, go into the created conp-dataset directory and run datalad install on the dataset braincode_CONNECT_RECOVER:

cd conp-dataset
datalad install projects/braincode_CONNECT_RECOVER

3) Download the braincode_CONNECT_RECOVER dataset

Now that the DataLad dataset has been installed, go into the dataset directory under projects/braincode_CONNECT_RECOVER.

cd projects/braincode_CONNECT_RECOVER

Note that files visible in the dataset are symlinks and will need to be downloaded manually using the datalad get command in the dataset directory:

datalad get <filepath>

Note, if you run datalad get * command, all the files present in the dataset directory will be downloaded.

For more information on how DataLad works, please visit the DataLad Handbook documentation .