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Sourcing Archives as Data from APIs

Sourcing Archives as Data from APIs Online

This session is designed as a follow-up to the DSI workshop Reading Data from an API with Python and JSON, with support for learners interested in programming foundations and applications for digital health humanities research.

From 12-1pm we will open up for new learner questions and troubleshooting relating to getting started with programmatically sourcing archival collections data.

Starting at 1pm, we will provide a walkthrough on sourcing archival collections data from webservices provided by libraries and archives in order to practice understanding API documentation and applying processes used to successfully retrieve and parse (e.g., JSON to .csv, XML to .csv) useful data, as well as understanding when and why you’d want to do this.

Please feel free to join either or both halves of this session! This session will include opportunities throughout for questions and sharing insights and expertise.

Participants will find it helpful to have some familiarity with APIs, Python, and common data structures. Such familiarity can come from attending the DSI workshop on Reading Data from an API with Python and JSON, or consulting documentation on the CLE.

Date:
Tuesday, Feb 21 2023
Time:
12:00pm - 2:00pm
Time Zone:
Pacific Time - US & Canada (change)
Campus:
Online
Online:
This is an online event. Event URL will be sent via registration email.
Categories:
  Archives and Special Collections     Data Science Initiative  

Registration is required. There are 20 seats available.

Event Organizer

Profile photo of Kathryn Stine
Kathryn Stine