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Problem: Users do not know what neurodata type they should use for a given experimental data type.
Proposed solution: Create a table that maps neurodata type (e.g., SpatialSeries within a Position container) to experimental data types ("position data", "animal running in maze") or in the other direction. We can start building this in a Google Doc for fast iteration and then move to a PR.
We can start building this in a Google Doc for fast iteration and then move to a PR.
Sounds good. To ease maintenance, I'm wondering whether it may be best to have this as a TSV in the schema repo. In that way we could make it required to update the table when modifying the schema. We could then also more easily render the table in multiple places (e.g., in tutorials in the PyNWB and MatNWB docs) without having to maintain it in multiple places.
Problem: Users do not know what neurodata type they should use for a given experimental data type.
Proposed solution: Create a table that maps neurodata type (e.g.,
SpatialSeries
within aPosition
container) to experimental data types ("position data", "animal running in maze") or in the other direction. We can start building this in a Google Doc for fast iteration and then move to a PR.cc @bendichter
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