University of Bonn Project
On October 1, 2021 DataJoint formally joined efforts with Prof. Dr. Tobias Rose’s group at Bonn University to develop automated workflows for a new family of neuroscience experiments. The five-year project “Information Infrastructure — Architectures for Data Management and Computational Support” will provide common solutions for research data management to neuroscience labs through the University’s new Collaborative Research Center.
In the first year of the project, the teams will develop workflows for the following experiment modalities:
Head-fixed laser-scanning two-photon calcium imaging with ScanImage
Temporal synchronization of recordings from ScanImage and Bonsai acquisition systems
FaceCam movie decomposition (based on independent-component analysis or similar)
Pose estimation in freely moving behavior using DeepLabCut
Locomotion (treadmill speed)
Auditory stimulation
Visual stimulation
Air puff administration
To streamline interoperability with existing infrastructure, we will also develop a programming interface for importing animal data from SciOnics’ PyRat colony management software into DataJoint schemas. Additional web interfaces will be developed for data entry and visualization using the existing DataJoint Labbook framework.
We anticipate that the solutions from this project will serve as precursors for standard modules disseminated under the DataJoint Elements program.
References
DFG Guide to Information Management in Collaborative Research Centres
DFG’s Guidelines for Safeguarding Good Research Practice. Code of Conduct.
Lopes, Gonçalo, et al. "Bonsai: an event-based framework for processing and controlling data streams." Frontiers in neuroinformatics 9 (2015): 7.
