DataJoint Works

DataJoint Works is a cloud-based platform that enables scientists to design and operate end-to-end computational workflows for neuroscience research.

DataJoint Works simplifies:

  • Design and setup of neuroscience experiments

  • Pipeline Operation for data acquisition and management

  • Data Analysis using an array of algorithms and visualization modules

  • Collaboration and Publishing that enables communication and visibility

DataJoint Works cloud-based platform.
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Design and setup. DataJoint Works simplifies the design and setup of your data pipeline by offering out of the box tools to quickly get your experiment up and running. Use one of our standard workflows or customize your own. Flexibility is a core feature of what DataJoint Works delivers to meet your unique needs.

Pipeline operation. DataJoint Works tracks instrument calibration, configuration and experimental parameters, to ensure your data acquisition maintains the integrity standards your research requires. Your data is organized, secure, and easily shareable within your lab or across global teams.

Data analysis. DataJoint Works allows researchers to use established methods for large-scale analysis and receive regular updates to stay current with the latest developments. With the ability to compare a variety of techniques, and invent and share new methods, researchers can stay ahead of the curve, collaborate effectively, and achieve breakthrough discoveries. 

Collaboration and publishing. DataJoint Works offers unparalleled visibility and transparency for researchers. Peers and collaborators can easily review your methods and analysis to validate your findings and prepare for publication.

DataJoint Works runs on Amazon Web Services (AWS), with secure data partitions and dedicated computation environments which are access-controlled according to lab, user, and project. Researchers can design and configure neuroscience experiments in DataJoint Works, upload data from their lab equipment, process the data using an array of algorithms and analyses, and explore, visualize, interpret, and share their results. All along, the research team retains complete visibility and control over the data and the analysis code.