OGM Python Metadata Workflow

Interactive Python and Jupyter workflows for preparing OpenGeoMetadata Aardvark metadata for AGSL GeoDiscovery.

Maybe it will be a library some day?

Requirements:

• mise
• Python 3.12
• Jupyter Notebook (https://jupyter.org/install)
• Pandas (https://pandas.pydata.org/getting_started.html)
• Numpy* (https://numpy.org/install/)

*only needed for clean-validate

Environment

This repo uses mise to pin the Python version and a local .venv for dependencies.

mise install
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
python -m ipykernel install --user --name ogm-py --display-name "Python (ogm-py)"

export-aardvark-json

• CSV template for OGM Aardvark metadata
• Jupyter Notebook that transforms a metadata CSV into OGM Aardvark JSON files

clean-validate

• CSV of sample OGM Aardvark metadata that has missing or incorrect values
• Jupyter Notebook scans the metadata, fixes it, and produces a log of actions taken

metadata-profile

• aardvark.csv: Documentation of the OGM Aardvark profile
• referenceURIs.csv: Keys and values of the types of references specified in the OGM Aardvark profile and viewable with GeoBlacklight

archive

• archive/cuba-census: Older Cuba Census ingest packaging notebook retained for reference.