• element-lab features a DataJoint pipeline design for lab related information, such as Lab, User, Project, Protocol, Source.

• element-lab is not a complete workflow by itself, but rather a modular design of tables and dependencies.

• element-lab can be flexibly attached to any DataJoint workflow.

• See the Element Lab documentation for the background information and development timeline.

• For more information on the DataJoint Elements project, please visit https://elements.datajoint.org. This work is supported by the National Institutes of Health.

pip install element-lab

If you already have an older version of element-lab installed using pip, upgrade with

pip install --upgrade element-lab

• element-lab is not a complete workflow by itself, but rather a modular design of tables and dependencies that can be flexibly attached to any DataJoint workflow.

• See the workflow-calcium-imaging and workflow-array-ephys repositories for example usages of element-lab.

• If your work uses DataJoint and DataJoint Elements, please cite the respective Research Resource Identifiers (RRIDs) and manuscripts.

• DataJoint for Python or MATLAB

  • Yatsenko D, Reimer J, Ecker AS, Walker EY, Sinz F, Berens P, Hoenselaar A, Cotton RJ, Siapas AS, Tolias AS. DataJoint: managing big scientific data using MATLAB or Python. bioRxiv. 2015 Jan 1:031658. doi: https://doi.org/10.1101/031658

  • DataJoint (RRID:SCR_014543) - DataJoint for <Select Python or MATLAB> (version <Enter version number>)

• DataJoint Elements

  • Yatsenko D, Nguyen T, Shen S, Gunalan K, Turner CA, Guzman R, Sasaki M, Sitonic D, Reimer J, Walker EY, Tolias AS. DataJoint Elements: Data Workflows for Neurophysiology. bioRxiv. 2021 Jan 1. doi: https://doi.org/10.1101/2021.03.30.437358

  • DataJoint Elements (RRID:SCR_021894) - Element Lab (version <Enter version number>)