GLAM-Workbench/digitalnz

Current version: v1.0.0

Jupyter notebooks to work with data from DigitalNZ's API. For more information see the DigitalNZ section of the GLAM Workbench.

• Build a DigitalNZ API search query – experiment with the DigitalNZ search API
• Getting some top-level data from the DigitalNZ API – poke around at the top-level of DigitalNZ, mainly using facets to generate some collection overviews and summaries

• Harvest facet data from DigitalNZ – explores what facets are available from the DigitalNZ API and demonstrates how to harvest data from them
• Harvest data from Papers Past – harvest large amounts of data from Papers Past (via DigitalNZ) for further analysis

• Select a random(ish) record from DigitalNZ – examines the available facets, then uses them to reduce the size of the results set until it's possible to select a random record
• Find results by country in DigitalNZ – find records relating to particular countries by searching for geocoded locations using bounding boxes

• QueryPic DigitalNZ – a web app to visualise searches in Papers Past over time
• Visualise a search in Papers Past – create a simple visualisation showing the distribution of a search over time and by newspaper
• Papers Past newspapers in DigitalNZ – displays details of the Papers Past newspapers available through DigitalNZ
• Visualising open collections in DigitalNZ – assemble data relating to the usage status of collections and visualise the results in a suitably colourful burst of fireworks!

• Summary of facets
• Individual facets:
  • collection.csv
  • creator.csv
  • subject.csv
  • format.csv
  • placename.csv
  • decade.csv
  • content_partner.csv
  • language.csv
  • century.csv
  • usage.csv
  • rights.csv
  • year.csv
  • copyright.csv
  • dc_type.csv
  • category.csv
  • primary_collection.csv
• collections_by_partner.csv
• usage_by_collection_and_partner.csv

See the GLAM Workbench for more details.

See the GLAM Workbench or Zenodo for up-to-date citation details.

This repository is part of the GLAM Workbench. If you think this project is worthwhile, you can become a GitHub sponsor.