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The CDH Cultural Heritage Data School aims to bring together participants from the wider Galleries, Libraries, Archives and Museums (GLAM) sector and academia to explore the methods used to create, visualise and analyse digital archives and collections.

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 school will be tailored to the learning needs of participants with content selected from but not limited to the following:

  • Metadata creation and enrichment

  • Digital text mark-up and TEI

  • Text-mining

  • Social network visualisation and analysis

  • Geomapping and archival photography

  • Digital Images and machine learning

  • Digital data preservation


The 2020 Data School teaching team includes:

  • Dr Anne Alexander (Director of Learning, CDH; Ethics of Big Data Research Group, University of Cambridge)

  • Dr Hugo Leal (Coordinator of the Cambridge Data Schools; CDH Methods Fellow; Research Associate, CRASSH, University of Cambridge)

  • Dr Oliver Dunn (CDH Methods Fellow; Postdoctoral Research Fellow, Faculty of History)

  • Huw Jones (Library Digital Humanities Coordinator, CDH Lab)