CONP Portal | Dataset


CP-NET: Hemi-NET Clinical Database Release
Creators: Ontario Brain Institute
Contact: Brain-CODE, datarelease@braincode.ca
Licenses: Refer to Brain-CODE Governance Policy
Version: 1.0
Formats: PDF CSV TXT
Size: 47.2 GB
No of Files: 14
No of Subjects: 320
Primary Publication: Neurodevelopmental profiles of children with unilateral cerebral palsy associated with middle cerebral artery and periventricular venous infarctions. Darcy Fehlings et al. Developmental Medicine & Child Neurology. 10.1111/dmcn.14818
Metadata file: DATS.json
Is About: Homo sapiens
Acknowledges: Ontario Brain Institute, Cerebral Palsy Neuroscience Discovery Network, Government of Ontario
Spatial Coverage: Canada
Other Dates: Start Date: 2017-02-22 00:00:00 -- End Date: 2022-01-01 00:00:00
Description:
This controlled data release focuses on CP-NET's initial Clinical Database which solely focused on children and youth, aged 2-18, with a confirmed diagnosis of hemiplegic cerebral palsy (CP). The Hemi-NET Clinical Database has data on 320 children and youth from across Ontario. The released data is organized around the following platforms: (1) Clinical Risk Factor Platform: clinically relevant neonatal and obstetric risk factors from obstetrical and neonatal health charts, (2) Genomics Platform: saliva samples acquired from the index child and both biological parent(s), (3) Neuroimaging Platform: standardized coding of clinically acquired neuroimaging, (4) Neurodevelopmental Platform: standardized assessments of gross motor, fine motor, language, cognitive, behavioural function, and self-reported quality of life.

Dataset README information

README.md

CP-NET: Hemi-NET Clinical Database Release

Cerebral Palsy Neuroscience Discovery Network (CP-NET)

Overview

This controlled data release focuses on CP-NET's initial Clinical Database which solely focused on children and youth, aged 2-18, with a confirmed diagnosis of hemiplegic cerebral palsy (CP). The Hemi-NET Clinical Database has data on 320 children and youth from across Ontario. The released data is organized around the following platforms: (1) Clinical Risk Factor Platform: clinically relevant neonatal and obstetric risk factors from obstetrical and neonatal health charts, (2) Genomics Platform: saliva samples acquired from the index child and both biological parent(s), (3) Neuroimaging Platform: standardized coding of clinically acquired neuroimaging, (4) Neurodevelopmental Platform: standardized assessments of gross motor, fine motor, language, cognitive, behavioural function, and self-reported quality of life.

Data organization

Data is organized into packages by Imaging Scan Type, Genomic Data 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.

Citation

Fehlings D, Krishnan P, Ragguett RM, deVeber G, Gorter JW, Hunt C, Kim M, Mesterman R. McCormick A, CP-NET Group. Neurodevelopmental profiles of children with unilateral cerebral palsy associated with middle cerebral artery and periventricular venous infarctions. Dev Med Child Neurol; 2021, 63: 729-735. https://doi.org/10.1111/dmcn.14818

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_CP-NET dataset

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

cd conp-dataset
datalad install projects/braincode_CP-NET

3) Download the braincode_CP-NET dataset

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

cd projects/braincode_CP-NET

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 .