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Copy file name to clipboardExpand all lines: docs/source/philosophy/data_organization.md
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@@ -54,14 +54,14 @@ All data acquired in a single acquisition session will be stored together. This
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All primary data assets have the following naming convention:
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“<subject-id>_<acquisition-start-datetime>”
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`<subject-id>_<acquisition-start-datetime>`
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A few points:
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- Format <acquisition-start-datetime>: yyyymmdd_HH-MM-SS
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- Format `<acquisition-start-datetime>: yyyymmdd_HH-MM-SS`
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- This should be the start of acquisition, in the local time zone.
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- The local time-zone is documented in metadata files
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- All tokens (e.g. <subject-id>) must not contain underscores or illegal filename characters. Subject ID is not strictly necessary – only the timestamp is essential. However, it is part of the current naming convention because it helps people visually browse for data.
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- All tokens (e.g. `<subject-id>`) must not contain underscores or illegal filename characters. Subject ID is not strictly necessary – only the timestamp is essential. However, it is part of the current naming convention because it helps people visually browse for data.
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Primary data assets are organized as follows:
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@@ -127,14 +127,14 @@ Example for exaSPIM data:
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Anything computed in a single run should be logically grouped in a folder. The folder should be named:
Processed outputs are usually the result of a multi-stage pipeline handling a single data modality. Utilize a modality-specific <process-label>. Other common process labels include:
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Processed outputs are usually the result of a multi-stage pipeline handling a single data modality. Utilize a modality-specific `<process-label>`. Other common process labels include:
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- “curation” - tags assigned to input data (e.g. merge/split/noise calls for ephys units)
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