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- Roni Choudhury (Kitware)
- Nicholas Cain (Allen Institute)
- Michael Grauer (Kitware)
- Ariel Rokem (UW)
- Lydia Ng (Allen Institute)
The ESV takes in an NWB file, then using the SlicerDicer, it extracts data from the file and creates a visualization to help scientists inspect and understand the contents of the file.
- Build on the ESV prototype to provide useful views, filtering and exploration abilities.
- Use this as a starting point to think about what kinds of structuring would be useful to put into a tool that converts raw data into NWB files, so that the structure is readily apparent when seen with the ESV.
- Figure out how to incorporate knowledge about how the experiment was performed, and how the steps correspond to contents of the NWB file, for aiding in visualization.
- Demo current capabilities with example dataset.
- Have scientists on the project team bring their own use cases and files they want to inspect.
- Decide what are the most valuable features to add to the ESV for the new use cases and implement those.
- Look at Neuroshape as a model for how to describe experimental structure
- Work with Marina and Justin to determine a one-off, example structure for one of their experiments
- Update the ESV prototype to reflect this structure, and also allow access to data in the NWB file
- Forum: https://github.com/orgs/NeurodataWithoutBorders/teams/experimentalstructureviewer
- Source code: https://github.com/dorukozturk/nwbsd/tree/master/esv
- Documentation: https://github.com/dorukozturk/nwbsd/tree/master/esv/README.md
- Test data: none yet