DEMOCRATIZING ACCESS TO PEDIATRIC GENOMICS DATA
CAVATICA is a data analysis and sharing platform designed to accelerate discovery in a scalable, cloud-based compute environment where data, results, and workflows are shared among the world's research community. CAVATICA and its partners continuously seek to find ways to collaborate, share, interoperate, and connect with any and all other data platforms in order to empower data across diseases, ages and geography supporting researchers and patients across the United States and throughout the world.
08-15-2017: CAVATICA will be a central data analysis and sharing platform as part of the NIH Common Fund’s Gabriella Miller Kids First Pediatric Research Program (Kids First) Data Resource Center (DRC). The DRC is charged with the deployment of a Data Resource Portal and analytics environment. Beta launch of the portal and its integration with CAVATICA will occur throughout the Summer of 2018 (beta.kidsfirstdrc.org). CAVATICA will function as part of the Kids First DRC's integrated NIH-Trusted Partner data access, integration and sharing environment to host more than 20,000 whole genomes across pediatric cancer and structural birth defects by the end of 2018 including large scale pediatric brain tumor datasets provided by the Children’s Brain Tumor Tissue Consortium and the Pacific Pediatric Neuro-Oncology Consortium.
10-17-2016: CAVATICA's full launch lets researchers access and analyze key pediatric disease data.
In partnership with the Cancer Moonshot, the Children’s Brain Tumor Tissue Consortium, the Pacific Pediatric Neuro-Oncology Consortium, and Seven Bridges announce the release of CAVATICA, the data analysis platform designed to facilitate the rapid integration of data from multiple diseases affecting children, including cancer and other rare diseases like congenital disorders, epilepsy, and autism. CAVATICA’s organizing principles are based on the fundamental concept of patients as partners and the scientific community’s responsibility to empower patients to fully participate in data-driven research and further partner to empower patients’ data through a commitment to collaborative discovery.