African Literary Metadata
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ALMEDA signs Memorandum of Understanding with AfLIA (African Library and Information Associations and Institutions)

We are delighted to announce that AfLIA (African Library and Information Associations and Institutions) and ALMEDA have formalised a collaboration in which ALMEDA will create an online course for AfLIA members titled ‘From Collections to Data Publications: a workflow for Librarians and Archivists’. The course aims to train librarians and archivists to publish datasets on materials of interest in their collections that are not captured in their cataloguing system. By publishing metadata about these collections as Open Data, the course aims to enable better accessibility of local collections.

A further ambition of the MoU is to collaborate on the development of an AI tool for enabling metadata creation on digitised assets.

Postdoc News: Gloria Ajami Makokha works with the British Institute in Eastern Africa

Read the BIEA’s recent blog on this collaboration.

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New dataset: Two Tone Magazine, Zimbabwe

This dataset covers poems published in Two Tone magazine from its first volume in 1964 to its final issue in September 1982. Two Tone was founded by Phillippa Berlyn and Olive Robertson and was published by the National Arts Foundation of Rhodesia/Zimbabwe and the Department of English at University of Rhodesia/Zimbabwe. An interesting aspect…

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Messy Data, Ephemeral Literatures, and the Future African Archive, Centre of African Studies, University of Copenhagen, 6 May 2026

Ashleigh Harris will present ALMEDA’s work with ‘Messy Data’ at the Centre of African Studies, University of Copenhagen at 15:00 on 6 May 2026. Abstract: A significant portion of African Literature and expressive cultures – from the late 19th century to the present – has been produced as print, audio, video,…

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Linked Open Data and the Future of the African Literary Archive, Campus Condorcet, Paris and Online, 10 April 14:00-16:00 CET.

Join us for a talk by Ashleigh Harris on the ways in which the ALMEDA project uses Linked Open Data and the Semantic Web to create sustainable data on African Literature and expressive culture.

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