Our Partners
At the heart of our success lies the invaluable collaboration with our data partners. Their expertise, dedication, and unwavering commitment have been instrumental in propelling our initiatives forward. None of the groundbreaking discoveries and advancements we've achieved would have been conceivable without their pivotal contributions. Together, we form a formidable alliance, driving innovation, shaping the future of pediatric healthcare, and ultimately, positively impacting countless lives. We extend our sincerest gratitude to our partners for their indispensable role in our shared journey towards excellence.
The Kids First Data Resource Center (Kids First DRC) provides robust genetic and clinical data for pediatric cancer and congenital disorders. Kids First data is accessible to researchers worldwide, free of charge, to help us understand these diseases better.
The Pediatric Neuro-Oncology Consortium (PNOC) is an international consortium with centers within the United States, Europe, Asia and Australia. We are dedicated to bringing new therapies to children and young adults with brain tumors. Our goal is to improve outcomes by translating the latest findings in brain tumor biology into better treatments for these children.
Data Driven Discovery (D³b)’s scientific expertise and diverse research platforms target pediatric cancers and rare diseases of childhood development, with pediatric brain tumors as an area of research emphasis. Its multidisciplinary team unites the fields of basic science, translational research, precision medicine, bioinformatics and genomic research.
The INCLUDE Data Coordinating Center (DCC) is making it easier for scientists and the Down syndrome community to work together. Matching the latest technology with shareable resources, researchers use the Data Hub to enhance healthcare and change lives.
Over 30 types of pediatric brain and spinal cord tumor clinical and molecular data, biospecimens, and cell-lines are available at no cost to academic researchers. Our open science model has shortened research time by up
to 20 years.
The Common Fund Data Ecosystem (CFDE) aims to enable broad use of Common Fund data to accelerate discovery. Common Fund programs generate a wide range of diverse and valuable data sets and knowledge designed to be used by the research community