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 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.

UCL

Project Aeon

Aeon’s 2-meter arena simulates natural environments to study multi-animal social interactions: Researchers gain a front-row seat to the brain in action, unraveling natural behaviors through scalable, multi-animal tracking in massive arenas over months.

“DataJoint enables fast and intuitive data querying and an easy way to standardize data for sharing around the world."

Tiago Branco
Group Leader
Tom Mrsic-Flogel
Prof & Director

Researchers gain a front-row seat to the brain in action, unraveling natural behaviors through scalable, multi-animal tracking in massive arenas over months.

University of Houston

Nurminen Lab

Using electrophysiology and behavior tracking, we investigate visual cortex interactions and their role in perception. Automating electrophysiology processing speeds insights into how disrupted neural circuits impact visual perception.

“The reason I am paying for DataJoint is so that I can come back in ten years and won’t need to remember how my sessions were represented in the analysis.”

Lauri Nurminen
Ass't Professor

Using ephys and behavior tracking, the lab investigates visual cortex interactions and their role in perception.

Johns Hopkins University

Hussain Shuler Lab

DataJoint is enabling the Hussain Shuler Lab to develop better models for Alzheimer’s disease and how degeneration of the cholinergic system can impair decision-making.

"With DataJoint, we save months of compute time. Without DataJoint, some of our experiments are not even doable.”

Marshall Hussain Shuler
Assoc. Professor

Time spent on a pursuit is divided by opportunity and apportionment costs, determining its true value.

Indiana University Bloomington

Lu Lab

The Lu Lab explores how prenatal cannabis exposure impacts brain development, later behavior, and future therapies.

"DataJoint's open science approach will allow future comparisons of data from labs across the world."

Hui-Chen Lu
Director & Chair

3D brain slice visualization from a study exploring the neural impact of prenatal cannabis exposure

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.

Baylor

Reimer Lab

Simultaneous recordings of mouse on spherical treadmill with eye and whisker cameras, electrophysiology, calcium imaging, and visual stimuli.

"With DataJoint, we submitted for publication four months after discovery. Without DataJoint, it would have taken two years.”

Jake Reimer
Ass't Professor

Simultaneous recordings of mouse on spherical treadmill with eye and whisker cameras, electrophysiology, calcium imaging, and visual stimuli.

Accelerate Your Research

Find out how DataJoint can help.