Our data commons is unique in its ability to accept any data, in any format and harmonize it with others from across the field. No more standardizing formats, outdated schemas, or unusable data. Our platform is equipped to handle any type of biological or clinical data related to cancer including:
Biological Data
Both processed data (such as BAM, VCF, and TSV files) and raw data (including FASTQ files).
Clinical Data
Imaging files (e.g., DICOM) and clinical records that can contribute to meaningful research.
We want to make submitting data easy so we offer flexible options to make data submission as seamless as possible.
At the Pattern Data Commons, we believe that the key to accelerating cancer research lies in the open, responsible sharing of data. Our open-source data commons is built by the leading experts in data harmonization across cancer centers and research institutions. It brings together data from across the field of rare cancer research and provides support in analysis of paired clinical and molecular data . By working closely with our partners, we aim to build a publicly available rare cancer data commons that fosters collaboration, drives innovation, and ultimately improves outcomes for patients.
Open Access Data
We share publicly because we know the immense, immediate good it can do. Until now, researchers and clinicians have been limited by outdated technology or restrictive agreements on who can see or use cancer data. We will see profoundly accelerated progress when researchers from across the field - from academic institutions, cancer centers, biotech and pharmaceutical companies - can all easily access and use rare cancer data to develop new drugs.
By partnering with us, you’re contributing to our collaborative effort to fight cancer with data-driven solutions. Together, we can create a world where researchers and clinicians have the resources they need, patients are seen and heard, and every dataset becomes a step toward a breakthrough.
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