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International Digital Oral History Lab Project

MeDoraH

Advancing digital humanities research methodology through semantic web technologies and computational oral history analysis

About MeDoraH

Building upon Hidden Histories' foundational work, MeDoraH represents an innovative advancement in digital humanities research methodology. This collaborative venture between University College London and TU Darmstadt introduces cutting-edge semantic web technologies and digital methods to oral history research.

MeDoraH enriches the existing Hidden Histories interview corpus by incorporating ten new German-language interviews, broadening our understanding beyond the Anglophone world.

Methodological Innovation: The project pioneers a novel methodological framework combining traditional oral history approaches with advanced computational techniques, enabled by a comprehensive knowledge graph and specialized ontologies.

Through innovative natural language processing across English and German sources, MeDoraH creates structured representations of oral history interviews adhering to FAIR data principles.

Technical Infrastructure & Impact

This technical infrastructure supports sophisticated analyses while preserving the nuanced nature of oral history research. Our interactive portal enables researchers, digital humanists, and oral historians to explore this enhanced interview corpus, facilitating novel investigations into the formation and evolution of digital humanities as a field.

Project outputs include semantically enriched interview transcriptions, a pioneering oral history ontology, and new methodological frameworks for digital oral history research.

Project Resources

Explore MeDoraH's comprehensive resources and methodological contributions to digital oral history research:

Metadata Structure

Discover the comprehensive metadata framework underpinning MeDoraH's approach to oral history data.

Metadata

FAIR Data Principles

Access structured representations of oral history interviews following FAIR data principles for enhanced discoverability.

Access Data

Publications & Outputs

Browse publications, research outputs, and scholarly contributions from the MeDoraH project.

Publications