Cultural Data Hackathon
Last updated
Last updated
In October 2020 Goethe Institut and Credipple host a cultural data hackathon #HackUrCulture to work on new digital engagement ideas for galleries, libraries, archives, and museums (GLAM). This page summarises some of the resources identified with @PolicyActionZA to support this event.
We've moved these to a separate working page here.
There are some examples of what can be done with open cultural data, mostly from the US (but please Tweet us about others if you have seen them).
Map a trip using the New York Public Library (NYPL) Green Book items
Southern Mosaic is a visual story using data from the US Library of Congress
Also by the New York Public Library, a visual grouping of 180,000+ public domain items
The Met has collaborated with Google to enable searching of archives using colour
A visual timeline of the Harvard Art Museum collection
For visualisation, there are many to try out like Flourish and Datawrapper. If you're more technical and using Python or R, have a look at this summary of libraries.
Have a look at these storytelling tools from Knightlab including Timeline, StoryMap, Soundcite and Juxtapose.
For mapping relationships or networks as a story try GraphCommons, see this example of three musicians in a recording ecosystem. Kumu is also popular for network visualisation.
For mapping, something like Kepler is easier to use. For more detail on working with spatial data see this page.
If you want to get data tables out of PDFs you can try Tabula. OpenRefine is good for cleaning data.
If you want to analyse text in books or articles (e.g. to identify people and places) there are lots of tools to try like TextRazor, Intellexer and Google's Natural Language.
Exploring Arts Engagement with (Open) Data by Tim Davies
Open cultural data: Curating GLAM in the digital age in the Jakarta Post
Data as Culture with ODI
A Nerd’s Guide To The 2,229 Paintings At MoMA and the data on Github
How We Learned to Stop Worrying and Love Open Data: A Case Study in the Harvard Art Museums’ API by Harvard Art Museum
A list of 'Cool stuff made with cultural heritage APIs'
120kMoMA - A data visualization study of The Museum of Modern Art collection dataset of 123,919 records
Using Public Domain Materials in the Classroom by New York Public Library