Connecting Data to Accelerate Cancer Research

The NCI Cancer Research Data Commons (CRDC) is a cloud-based data science infrastructure that provides secure access to a large, comprehensive, and expanding collection of cancer research data. Users can explore and use analytical and visualization tools for data analysis in the cloud.

200K+ Subjects / Participants 17PB+ Data 533 Studies 1.2K+ Public Tools and Workflows 100K+ Unique Users / Year
533 Studies 200K+ Subjects / Participants 1.2K+ Public Tools and Workflows 100K+ Unique Users / Year 17PB+ Data
  • CRDC Insights
    CRDC Components: Updates

    The CRDC team, whether engaged in activities specific to the CRDC Data Commons, NCI Cloud Resources, or CRDC’s Core Services, remains focused on advancing its mission of making data and resources securely accessible to the cancer research community. The team has provided updates. Read more below.

  • CRDC Insights
    Proteomic Data Commons 2.0

    The Proteomic Data Commons (PDC) has upgraded its portal with new features that make it easier for researchers to explore proteomic data and link it with other cancer research data types. This updated 2.0 version enhances navigation, adds more information for each study, and offers clearer connections to related study data in other CRDC data commons.

  • CRDC Insights
    SB-CGC Tutorial Featured in New Bioinformatics Textbook

    A team from Seven Bridges Cancer Genomics Cloud (SB-CGC) developed an RNA sequencing tutorial, which is featured in Cancer Bioinformatics, a new textbook published by Springer Nature. Led by SB-CGC’s Rowan F. Beck, PhD, the team’s tutorial guides users through the essentials of RNA sequencing analysis with tools available on their platform.

  • CRDC Insights
    CRDC Components: Updates

    The CRDC team, whether engaged in activities specific to the CRDC Data Commons, NCI Cloud Resources, or CRDC’s Core Services, remains focused on advancing its mission of making data and resources securely accessible to the cancer research community. The team has provided updates. Read more below.

  • CRDC Insights
    Proteomic Data Commons 2.0

    The Proteomic Data Commons (PDC) has upgraded its portal with new features that make it easier for researchers to explore proteomic data and link it with other cancer research data types. This updated 2.0 version enhances navigation, adds more information for each study, and offers clearer connections to related study data in other CRDC data commons.

  • CRDC Insights
    SB-CGC Tutorial Featured in New Bioinformatics Textbook

    A team from Seven Bridges Cancer Genomics Cloud (SB-CGC) developed an RNA sequencing tutorial, which is featured in Cancer Bioinformatics, a new textbook published by Springer Nature. Led by SB-CGC’s Rowan F. Beck, PhD, the team’s tutorial guides users through the essentials of RNA sequencing analysis with tools available on their platform.

Explore

Data Commons

Share, analyze, and visualize harmonized genomic data, including TCGA, TARGET, and CPTAC.

Share, analyze, and visualize proteomic data, such as CPTAC and The International Cancer Proteogenome Consortium (ICPC).

Share, analyze, and visualize multi-modal imaging data from both clinical and basic cancer research studies.

Share data from canine clinical trials, including the PRE-medical Cancer Immunotherapy Network Canine Trials (PRECINCT) and the Comparative Oncology Program.

Store and share data from NCI-funded Clinical and Translational Studies.

Hosting and sharing NCI data of multiple data types not a match for other CRDC Data Commons.

Core Resources and Services

Enables users to query and connect data distributed across the CRDC for integrative analysis.

Provides secure user authentication and authorization and permanent digital object identifiers for data objects.

Enables users to query and connect data distributed across the CRDC for integrative analysis.

ABOUT CRDC

CRDC is built for researchers

  • Enable the cancer research community to share diverse data types
  • Provide secure access to data
  • Facilitate the generation of innovative tools
  • Adhere to FAIR principles of data stewardship: Findable, Accessible, Interoperable, and Reusable