Medley of Metadata Workflows

This repository contains set of Jupyter Notebooks for batch metadata processes.

Requirements:

• Python 3
• Jupyter Notebook (https://jupyter.org/install)
• Pandas (https://pandas.pydata.org/getting_started.html)
• Numpy* (https://numpy.org/install/)

*only needed for 04_clean-validate

01_CSV-2-JSON

• CSV template for OGM Aardvark metadata
• Jupyter Notebook that transforms the CSV into OGM Aardvark JSONs

02_JSON-2-CSV

• directory of sample OGM Aardvark JSONs, taken from the OpenGeoMetadata shared repositories.
• Jupyter Notebook that transforms the JSONs into a CSV

03_harvest-DCAT

• CSV listing a few ArcGIS Hubs, including each site's DCAT JSON API and default metadata values
• Jupyter Notebook that harvests metadata from the ArcGIS Hubs and writes a CSV

04_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

aardvark-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