Cultural Data Hackathon
Last updated
Last updated
In October 2020 Goethe Institut and Credipple host a cultural data hackathon to work on 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 .
There are some examples of what can be done with open cultural data, mostly from the US (but please about others if you have seen them).
using the New York Public Library (NYPL) Green Book items
is a visual story using data from the US Library of Congress
Also by the New York Public Library, a of 180,000+ public domain items
has collaborated with Google to enable searching of archives using colour
A of the Harvard Art Museum collection
For visualisation, there are many to try out like and . If you're more technical and using Python or R, have a look at this .
Have a look at these storytelling including Timeline, StoryMap, Soundcite and Juxtapose.
For mapping relationships or networks as a story try , see of three musicians in a recording ecosystem. is also popular for network visualisation.
For mapping, something like is easier to use. For more detail on working with spatial data see .
If you want to get data tables out of PDFs you can try . 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 , and .
by Tim Davies
in the Jakarta Post
with ODI
and the
by Harvard Art Museum
A list of ''
120kMoMA -
by New York Public Library
Blog on