Mastering the Complexity of Cancer.

Oncology data is increasingly multimodal and multiscale. With DataJoint, research teams are unifying their data, applying AI, and acting faster on what they find.

Broken Links in the Cancer Data Chain

Cancer researchers are drowning in data but starved for structure. As Chung and Jaffray write in Cancer Research,

“Data are ubiquitous in cancer research but lack meaning without properly linked and described metadata."

They argue that what’s missing is not data volume or computing power—but a robust metadata supply chain. Without one, researchers face siloed datasets, untraceable results, and workflows that collapse under their own complexity.

The pain is felt across the field: patient records split from omics data, images detached from annotations, results that can’t be reproduced or reused. The cost is enormous—delayed discoveries, broken AI pipelines, and missed opportunities for intervention.

The current paradigm of ad-hoc aggregation and curation of data *needs to be replaced.*

David Jaffray, OhD
Chief Technology & Digital Officer
,
MD Anderson Cancer Center

The System That Oncology Demands

The National Cancer Institute and Frederick National Lab have defined what’s needed: an enterprise data science platform that can unify metadata, manage provenance, support reproducible workflows, and serve both biologists and data scientists.

DataJoint is that system.

Our platform delivers the core architecture the NCI calls for — integrating data repositories, compute environments, and algorithm pipelines into a single, reproducible supply chain. Click here for more about NCI's standard and the DataJoint platform.

Enabling technologies for enterprise scientific computing, from the National Cancer Institute. https://frederick.cancer.gov/news/enterprise-data-science-platforms-scientific-computing-and-machine-learning
UCSF

Cadwell Lab

Patch-seq helps scientists explore individual cells’ traits, like finding hidden instructions in a puzzle. By revealing its cellular diversity, this tech is a game-changer for fighting gliomas, one of the deadliest brain tumors.

“I am really happy with DataJoint support! We’ve tested our pipelines with real data … my lab can take it from here.”

Cathryn Cadwell
Ass't Professor

Patch-seq helps scientists explore individual cells’ traits, like finding hidden instructions in a puzzle.

Accelerate Your Research

Find out how DataJoint can help.