The curriculum will be structured around the digital collections and archives pipeline, covering the general principles and applied practices involved in the generation, exploration, visualisation, analysis and preservation of digital collections and archives. The programme will include the following modules:
- The digital project lifecycle
- Digital text mark-up and TEI
- Text-mining and Named Entity Recognition with Python
- Geodata, controlled vocabularies and principles of semantic data modelling
- Using machine learning to work with large-scale image collections
The 2021 Cultural Heritage Data School teaching team includes:
- Dr Anne Alexander (Director of Learning, CDH)
- Huw Jones (Library Digital Humanities Coordinator, CDH Labs)
- Chiara Capulli (Methods Fellow, CDH Learning)
- Dr Mary Chester-Kadwell (Senior Software Developer, CDH Labs and Cambridge University Library)
No previous experience of programming is required to participate in the Data School. We welcome applications from outside the UK.
Please note that because of the fast moving nature of Coronavirus, the Data School timetable and content may be subject to change because of staff availability. We also recognise that the current circumstances are putting extra pressure on many people, especially those with caring responsibilities, and we understand that not everyone will necessarily be able to make every session. This will not be a barrier to participation in the Data School.
Cambridge Digital Humanities is committed to democratising access to digital methods and tools and is offering the following subsidised participation fees to encourage applications from those who do not normally have access to this type of training. The fees include all teaching costs.
Standard Rate: £245
Small Organisations / Academic Staff: £145
Students / Unemployed / Community Projects / Unfunded Projects : £45
In addition, a small number of bursaries are available to those who can demonstrate financial need.
Further information with the full programme and application form is available via: https://www.cdh.cam.ac.uk/dataschool/cdh-cultural-heritage-data-school
Questions related to the application procedure or course content: Karen Herbane (Digital Humanities Learning and Events Coordinator): learningcdh.cam.ac.uk
ANN: Cambridge Cultural Heritage Data School (online, 17-30 Mar 21). In: ArtHist.net, Jan 14, 2021 (accessed Jan 17, 2021), <https://arthist.net/archive/24249>.