RADIANT Public Data

Description

The Real-time Analysis and Discovery in Integrated And Networked Technologies (RADIANT) initiative seeks to develop an extensible, federated framework for rapid exchange of multimodal clinical and research data on behalf of accelerated discovery and patient impact. Coordination and implementation of initial RADIANT deployments will leverage a network of more than 35 partnered health care systems and participating patient families within the Children’s Brain Tumor Network (CBTN) and the Pediatric Neuro-Oncology Consortium (PNOC). This data set is composed of public multi-modal data provisioned by RADIANT. The initial bolus of data is from CBTN and consists of clinical data extracted/abstracted from electronic medical records, omic data such as genomics, transcriptomics and proteomics and radiology and pathology imaging data. Data are collected or generated as part of consent-based, IRB-approved observational or interventional studies with the goal of making it available globally to researchers across a broad number of disciplines.

Update Frequency

Data is updated on a regular basis by the RADIANT teams to make data available as rapidly as possible.

License

NIH Genomic Data Sharing Policy: https://grants.nih.gov/grants/guide/notice-files/not-od-14-124.html

Documentation

https://cbtn.org/research-resources

Managed By

The Center for Data-Driven Discovery in Biomedicine (D3b) at the Children's Hospital of Philadelphia

See all datasets managed by The Center for Data-Driven Discovery in Biomedicine (D3b) at the Children's Hospital of Philadelphia.

Contact

research@cbtn.org

How to Cite

RADIANT Public Data was accessed on DATE from https://registry.opendata.aws/radiant.

Usage Examples

Tools & Applications

• CAVATICA by Seven Bridges Genomics
  
• Flywheel (CHOP D3b) by Flywheel
  
• PedcBioPortal by cBioPortal
  
• RADIANT Source Code by RADIANT Team
  

Publications

• A road map for the treatment of pediatric diffuse midline glioma by Carl Koschmann, Wajd N Al-Holou, Marta M Alonso, et al.
  
• Generation and multi-dimensional profiling of a childhood cancer cell line atlas defines new therapeutic opportunities by Claire Xin Sun, Paul Daniel, Gabrielle Bradshaw et al.
  
• Germline analysis of an international cohort of pediatric diffuse midline glioma patients by Marion K Mateos, Pamela Ajuyah, Noemi Fuentes-Bolanos, et al.
  
• Multi-scale signaling and tumor evolution in high-grade gliomas by Jingxian Liu, Song Cao, Kathleen J Imback, et al.
  
• Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma by Anahita Gathi Kazerooni, Adam Kraya, Komal S Rathi, Meen Chul Kim, et al.
  
• OpenPBTA: The Open Pediatric Brain Tumor Atlas by Joshua A Shapiro, Krutika S Gaonkar, Stephanie J Spielman, et al.
  
• The children's brain tumor network (CBTN) - Accelerating research in pediatric central nervous system tumors through collaboration and open science. by Jena V Lilly, Jo Lynne Rokita, Jennifer L Mason, et al.
  
• The landscape of primary mismatch repair deficient gliomas in children, adolescents, and young adults: a multi-cohort study by Logine Negm, Jiil Chung, Liana Nobre, et al.
  
• Use of External Control Cohorts in Pediatric Brain Tumor Clinical Trials by Ashley S Margol, Annette M Molinaro, Arzu Onar-Thomas, et al.