Cultural Data Hackathon

In October 2020 Goethe Institut and Credipple host a cultural data hackathon #HackUrCulturearrow-up-right to work on new digital engagement ideasarrow-up-right for galleries, libraries, archives, and museums (GLAM). This page summarises some of the resources identified with @PolicyActionZA to support this event.

Cultural and heritage data sources in South Africa

We've moved these to a separate working page here.

Examples of cultural and heritage data reuse

There are some examples of what can be done with open cultural data, mostly from the US (but please Tweet usarrow-up-right about others if you have seen them).

Map a triparrow-up-right using the New York Public Library (NYPL) Green Book items

Navigating the Green Book at NYPL

Southern Mosaicarrow-up-right is a visual story using data from the US Library of Congress

Southern Mosaic visualisation of artist locations and titles

Also by the New York Public Library, a visual groupingarrow-up-right of 180,000+ public domain items

The Metarrow-up-right has collaborated with Google to enable searching of archives using colour

A visual timelinearrow-up-right of the Harvard Art Museum collection

Tools to try

For visualisation, there are many to try out like Flourisharrow-up-right and Datawrapperarrow-up-right. If you're more technical and using Python or R, have a look at this summary of librariesarrow-up-right.

Have a look at these storytelling tools from Knightlabarrow-up-right including Timeline, StoryMap, Soundcite and Juxtapose.

For mapping relationships or networks as a story try GraphCommonsarrow-up-right, see this examplearrow-up-right of three musicians in a recording ecosystem. Kumuarrow-up-right is also popular for network visualisation.

For mapping, something like Keplerarrow-up-right 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 Tabulaarrow-up-right. OpenRefinearrow-up-right 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 TextRazorarrow-up-right, Intellexerarrow-up-right and Google's Natural Languagearrow-up-right.

Additional reading

Exploring Arts Engagement with (Open) Dataarrow-up-right by Tim Davies

Open cultural data: Curating GLAM in the digital agearrow-up-right in the Jakarta Post

Data as Culturearrow-up-right with ODI

A Nerd’s Guide To The 2,229 Paintings At MoMAarrow-up-right and the data on Githubarrow-up-right

How We Learned to Stop Worrying and Love Open Data: A Case Study in the Harvard Art Museums’ APIarrow-up-right by Harvard Art Museum

A list of 'Cool stuff made with cultural heritage APIsarrow-up-right'

120kMoMA - A data visualization study of The Museum of Modern Art collection dataset of 123,919 recordsarrow-up-right

Using Public Domain Materials in the Classroomarrow-up-right by New York Public Library

Blog on how people have used MoMA’s data so fararrow-up-right

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