Purpose

This repo will be used to experiment with using machine-learning techniques to create useful metadata for Opening-the-Archives items that are metadata-deficient.

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Usage

• Using macOS, python3.8 (for python server compatibility), install from config/requirments_p38_mac.txt:

• Getting a notebook running locally:

    % jupyter notebook
  

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Data-query

Query to obtain raw data:

https://repository.library.brown.edu/api/search/?q=rel_is_member_of_collection_ssim:%22bdr:318399%22%20AND%20-rel_is_part_of_ssim:*%20AND%20ds_ids_ssim:MODS&rows=99999

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Colab info

Resources for working with Colab...

• integrating colab and github:

  • https://gist.github.com/johannes-staehlin/a3de7f6c389c669e068557b70ae9290c
  • https://hunter420.hashnode.dev/clone-from-git-in-colab-upload-on-drive

• using copilot with colab:

  • https://bevel-pufferfish-154.notion.site/Getting-started-with-Copilot-7be0d614295a4836b84fb9cf7c909227

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