The Platform for *Productive Science*
We handle the data grind so you don’t have to.
Scientists spend most of their time wrangling data and code. Their work is ad hoc, fragile, and slow. That's holding back your lab.
DataJoint changes that.
We take care of the data pipeline – so your team can focus on the science, not the scaffolding.
Engineered for Science
DataJoint becomes the operational core of a lab’s scientific endeavors, unifying all critical components of a study in one system — metadata, lab recordings, complex processing, analysis, visualization — all backed by traceable provenance.
An operating platform with every *“essential component.”*
Frederick National Lab (FNL) identifies nine essential components to bridge the gap between bench science and data science:
1
Data and metadata access and storage
2
Web-based UI for parameter selection, algorithm customization, and visualization
3
Scalable computation, flexible across on-prem and cloud resources
4
Support for computational workflows and pipelines and data provenance
5
Sharing of pipelines between collaborators and access control for pipelines in development and production
6
Reproducibility of the software environment and the corresponding analysis
7
Support for clinical regulations (HIPAA expected late 2025)
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8
Supports DevOps best practices and tools like version control, unit testing, CI/CD, and IDEs
9
User authentication and granular access control for data and pipelines
"Integration of data, software, and computational resources in one environment will … shorten the time to make scientific discoveries."
*Computational Database*
The solution to process integrity in scientific research.
At the heart of the DataJoint platform is a new technology: the Computational Database. This isn't just storage; it’s an active, intelligent system engineered to deliver structured, reproducible, and scalable management across the entire research lifecycle. It defines your experiment’s data models, code, and process, and unifies the management of your data with its processing and analysis.
The Computational Database forges a dynamic, queryable, living record of your study – far beyond a mere data archive.
Relational Database Management System
Structures and manages the data, enforcing critical relationships to ensure referential integrity.
Object Storage System
Manages data files (e.g., raw images, videos), under RDMS control to maintain organization and context.
Source Code Management System
Manages source code for the pipeline’s data models, dependencies, and computational steps; includes version control and CI/CD automation.
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Workflow Orchestration System
Monitors the pipeline, executes compute steps just-in-time on appropriate infrastructure, propagates changes to metadata to ensure internal consistency and referential integrity.
Interactive Science Environment
Pipeline Explorer
See your entire experiment laid out like a google map - zoom in or out to see what matters most in the moment, or pick just one session to focus deeply.
Custom Dashboards
View experiment progress and work with animals, sessions, data summaries, processed results, pipeline status, quality metrics, charts, and more.
Jupyter Notebooks
Unlock new insights with embedded notebooks and powerful querying of your pipeline; can use any available computing instance, including GPU.
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Collaboration
Inherently multi-user with robust security options and ability to invite guest users to a project. Coming soon: securely share a slice of your data directly with other labs.
Publishing
Easily export data to standard formats and integrate with NIH repositories like DANDI.
Drowning in data? *Pipelines are your lifeline!*
Modern research creates massive datasets and overwhelming complexity. DataJoint tames the chaos and prepares your lab for the AI age.
