Data Commons Technology

Data commons co-locate data, storage and computing infrastructure with commonly used tools for analyzing and sharing data to create an open interoperable resource for the research community.

 Data Management

 Data Management

  • Data access controls
  • Standardized data and metadata retrieval 
  • Organized data artifacts through a common data model
  • Data portability and peering through a digital ID service
  • Data submission tools
  • Data versioning
  • Data replication and backup


  • Alignment against common reference genome builds
  • Scalable adaptions of community analysis tools
  • Reproducibility and portability through containerization
  • QC metrics and realignment tool logs
  • Leveraging new standards such as common workflow language
 Modern Architecture

 Modern Architecture

  • Integration with 3rd party applications
  • Virtualization and containerization
  • Compatibility with public cloud storage and tools
  • Scalable storage and compute infrastructure
  • Compliance with rigorous federal security requirements

Our data sharing technology powers several large-scale research platforms





  • Children's Hospital of Philadelphia (CHOP)
  • Ontario Institute for Cancer Research (OICR)
  • Open Commons Consortium (OCC)



  • African-American Cardiovascular Pharmacogenetic Consortium (ACCOuNT)
  • Blood Profiling Atlas in Cancer (BloodPAC) Consortium
  • Cohen Veterans Bioscience
  • DREAM Challenge
  • Gabriella Miller Kids First Pediatric Research Program
  • GenoMEL Melanoma Genetics Consortium
  • Institute for Genomics and Systems Biology (IGSB)
  • International Cancer Genome Consortium (ICGC)
  • International Neuroblastoma Research Group (INRG)
  • National Cancer Institute (NCI)
  • National Aeronautics and Space Administration (NASA)
  • National Oceanic and Atmospheric Administration (NOAA)
  • OICR Cloud Collaboratory
  • Open Science Data Cloud (OSDC)