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## Pipeline Development and Limitations
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The Element's table architecture was generalized from existing project-specific
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pipelines such as International Brain Laboratory's `channel_locations.json` as well as the Allen
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Institute's [atlas
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files](https://community.brain-map.org/t/allen-mouse-ccf-accessing-and-using-related-data-and-tools/359),
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and pair these data sets.
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pipelines such as International Brain Laboratory's [iblapps](https://github.com/int-brain-lab/iblapps/wiki/) as well as the Allen
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Institute's [atlas files](https://community.brain-map.org/t/allen-mouse-ccf-accessing-and-using-related-data-and-tools/359).
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One notable consession was made in development: acronyms in DataJoint do not perfectly map on to the Allen Institute's published standard. By default, DataJoint databases are not case sensitive. Instead, acronyms are convered to [snake case](https://en.wikipedia.org/wiki/Snake_case) to avoid naming collisions. While we depart from the standard, preliminary interviews with users indicate no bias toward the official standard. Visit our [localization notebook](https://github.com/datajoint/workflow-array-ephys/blob/main/notebooks/08-electrode-localization.ipynb) for a demonstration of converting between the case sensitive and snake case standards.
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