DataJoint Elements

This resource ("Resource") provides an efficient approach for neuroscience labs to create and manage scientific data workflows: the complex multi-step methods for data collection, preparation, processing, analysis, and modeling that researchers must perform in the course of an experimental study. The work is derived from the developments in leading neuroscience projects and uses the DataJoint framework for defining, deploying, and sharing their data workflows.

An overview of the principles of DataJoint workflows and the goals of DataJoint Elements are described in the position paper "DataJoint Elements: Data Workflows for Neurophysiology".

Project Structure

• Management and Policies
• Design Principles
• Glossary

Components

The Resource provides the following main components:

DataJoint

the open-source framework for data pipelines and automated computational workflows + related documentation, tools, and utilities.

DataJoint Elements

a collection of curated modules for assembling workflows for the major modalities of neurophysiology experiments + related documentation, tools, and utilities.

Elements

• Lab management https://github.com/datajoint/element-lab
• Animal management https://github.com/datajoint/element-animal
  • Example workflow https://github.com/datajoint/workflow-animal
• Experiment session https://github.com/datajoint/element-session
• Extracellular array electrophysiology https://github.com/datajoint/element-array-ephys
  • Example workflow https://github.com/datajoint/workflow-array-ephys
• Calcium imaging https://github.com/datajoint/element-calcium-imaging
  • Example workflow https://github.com/datajoint/workflow-calcium-imaging
• Miniscope imaging https://github.com/datajoint/element-miniscope
  • Example workflow https://github.com/datajoint/workflow-miniscope

The DataJoint framework

• DataJoint for Python https://github.com/datajoint/datajoint-python
• DataJoint for MATLAB https://github.com/datajoint/datajoint-matlab
• DataJoint Documentation https://docs.datajoint.io
• DataJoint Tutorials https://tutorials.datajoint.io
• Docker image for MySQL server configured for use with DataJoint: https://github.com/datajoint/mysql-docker

Interfaces

• Pharus — a REST API for interacting with DataJoint databases https://github.com/datajoint/pharus
• DataJoint Labbook — a front-end web interface for viewing and entering data https://github.com/datajoint/datajoint-labbook

Online Training

• Interactive online tutorials https://playground.datajoint.io