Cultural and heritage data resources
Last updated
Last updated
Language data sources on (e.g. ) and
data on audience trends for TV and radio are now available online.
National Archives and Records Service of South Africa (NARSSA) search of more than 8.3 million items on the (partial) and the (complete).
South African Heritage Resources Agency (SAHRA) manages the
South African History Archives (SAHA)
HSRC Press (400+ titles)
Wits University
Various at the University of Cape Town.
Zamani Project is posting of heritage sites across Africa
South African Centre for Digital Language Resources (SADiLaR)
, an experimental digital research tool. It is designed to support historical enquiry into the five hundred years before colonialism in what is today KwaZulu-Natal and neighbouring regions. It convenes online diverse materials including, amongst other things, texts, images, recordings, excavated items and botanical material, as well as early vernacular publications.
According to the National Library of South Africa (NLSA), "all newspapers published in South Africa are collected by the NLSA" and a .
See developed for #HackUrCulture, hosted by the Goethe Institut Johannesburg and Credipple in October 2020.
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
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
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 .