DataJoint

DataJoint is an operating platform for scientific data, computation, and analysis, designed to help research labs perform, streamline, and protect their work. By combining instruments, code, data, and computation into automated workflows, DataJoint enables research that is transparent, reproducible, and AI-ready. The platform is trusted by premier research institutions — including labs at UCSF, Johns Hopkins, Harvard Medical School, the University of Houston, and Indiana University — and is built to handle the most complex and valuable scientific data.

DataJoint serves as the foundation for high-impact research across systems neuroscience, oncology, and large-scale biomedical initiatives, providing stable and scalable infrastructure for science that spans decades, disciplines, and institutions.

Maximising Scientific Impact

• Accelerates time to publication by months or even years
• Enables labs to take on more complex and ambitious experiments that would otherwise be infeasible
• Allows researchers to update code or try new algorithms without disrupting existing workflows
• Helps labs make better use of their time and talent

Streamlining Research Operations

• Replaces ad hoc processes with structured, automated workflows
• Cuts 80–90% of time spent cleaning and processing data
• Automates repetitive work from data acquisition through to analysis
• Eliminates errors through standardised workflows and quality assurance
• Maintains continuity as teams and projects evolve over time

Ensuring Process Integrity and Reproducibility

• Records the details needed to reconstruct every data transformation
• Links data, code, and process together to ensure full reproducibility
• Supports compliance with the NIH Data Management and Sharing Policy
• Structures data for long-term reuse and AI interpretation

Validated Workflows for Specialised Domains

• Systems Neuroscience: Integrates physiology, imaging, microscopy, optogenetics, motion analysis, behaviour, histology, morphology, multi-omics, EEG/EMG, and more
• Biomedical Moonshots: Provides stable, scalable infrastructure for science spanning decades, disciplines, and institutions
• Oncology: Enables research teams to unify their data, apply AI, and act faster on findings

AI and Agentic Capabilities

• Designed to make lab data infrastructure ready for AI interpretation and downstream use
• DataJoint has launched an Agentic AI control layer for scientific workflows, enabling defensible and reproducible AI in regulated R&D environments
• Actively expanding into pharmaceutical R&D with agentic AI capabilities

DataJoint is deployed across leading academic and research institutions and is positioned to support compliance with evolving data management mandates such as the NIH Data Management and Sharing Policy. The platform is suitable for biology-focused labs that may lack dedicated IT resources, providing a managed, structured environment that makes complex data pipelines accessible to scientists across disciplines.