Cultural and heritage data resources

Data sources

Language data sources on Hugging Facearrow-up-right (e.g. isiZuluarrow-up-right) and Kagglearrow-up-right

Broadcast Research Council of South Africaarrow-up-right 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 'new' databasearrow-up-right (partial) and the 'old' databasearrow-up-right (complete).

South African Heritage Resources Agency (SAHRA) manages the South African Heritage Resources Information System (SAHRIS)arrow-up-right

South African History Archives (SAHA) collectionsarrow-up-right

HSRC Press open access book collectionarrow-up-right (400+ titles)

Wits University Historical Papers Research Archivearrow-up-right

Various digital collectionsarrow-up-right at the University of Cape Town.

Zamani Project is posting GIS spatial data packages and 3D modelsarrow-up-right of heritage sites across Africa

South African Centre for Digital Language Resources (SADiLaR) collection of language resourcesarrow-up-right

Repository of the 500 Year Archivearrow-up-right, 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 digital archive is being implementedarrow-up-right.

Example cultural data applications

See this exhibition of projectsarrow-up-right 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 Tweet usarrow-up-right about others if you have seen them).

Artefact project for HackUrCulture

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

Additional reading on open cultural data

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

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.

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