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The topic of this draft may not meet Wikipedia's general notability guideline. Please help to demonstrate the notability of the topic by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. Notability should be established before publishing this draft or submitting it via the articles for creation process. Find sources: "EpiMedDat" – news · newspapers · books · scholar · JSTOR (May 2026) (Learn how and when to remove this message)

EpiMedDat is a freely accessible online collaborative scientific database for the collection of historical data on highly infectious diseases in pre-modern times, especially in the late Middle Ages.

EpiMedDat emerged from a project funded by the Volkswagen Foundation between 2022 and 2026 at the Leibniz Institute for the History and Culture of Eastern Europe (GWZO), Department of Humans and Environment, founded and supervised by Dr. Martin Bauch and Prof. Dr. Thomas Wozniak. It received considerable support by the TG 70 Programme of the State of Saxony in 2023-2024, helping to expand the database.^[1]

The EpiMedDat database is being created as a MediaWiki in cooperation with various employees and project partners.

It already contains substantial material on East and East Central Europe between the twelfth and fifteenth centuries.^[2]

2026, EpiMedDat was rebuilt using Semantic MediaWiki, where facts from the wiki pages are stored and can be retrieved inside the wiki as well as exported in different formats (e. g. JSON or RDF). Data is available as RDF dump, synchronized with FactGrid, and available at Zenodo.^[3]

• List of wikis
• Semantic MediaWiki

• Bauch, Martin, and András Vadas. 2024. “Absence and Presence: The Black Death and Subsequent Plague Waves in Fourteenth–Fifteenth-Century East Central Europe – A Short Introduction”. Historical Studies on Central Europe 4 (1):4-8. doi:10.47074/HSCE.2024-1.01.
• Bauch, Martin, and Christian Oertel. 2024. “Late Medieval Plague Waves in Eastern Germany and Bohemia: Combining Narrative, Administrative, Epigraphic and Pictorial Sources With Quantitative Approaches ”. Historical Studies on Central Europe 4 (1):30-67. doi;10.47074/HSCE.2024-1.03.
• Hein M, Usmar N, Engel A, Rabiger-Völlmer J, Schmidt J, Silbermann M, et al. (2026) What the landscape can tell: An integrative stratigraphic prospection approach to localize a Black Death mass grave in Erfurt/Central Germany. PLoS One 21(1): e0337410. doi:10.1371/journal.pone.0337410

• Official website

Category:Semantic wikis