This workshop introduces Wikibase — the open-source software behind Wikidata — as a shared workspace for interdisciplinary, mixed-methods research. The central argument is that genuine integration happens when a team works around the same “digital table” from day one, rather than combining separate outputs at the end. Wikibase provides that table: a single platform where qualitative narratives and structured data live together, with full version history and provenance.

The session distils the book How to Use Wikibase for Mixed-Methods Research (Bailo, Booth & Williams, Edward Elgar, 2026) into a practical sequence. It covers the core data model (items, properties, triple statements, qualifiers and references), the design of a shared ontology that serves both qualitative and computational team members, and the idea of data layering — adding structure over unstructured sources rather than replacing them.

The hands-on portion builds a live knowledge graph end to end, following the book’s Chapter 6 study of how MPs communicate across parliamentary and social-media platforms: creating a free Wikibase.cloud instance, defining the ontology as properties, bulk-importing data with QuickStatements, querying the graph with SPARQL, and extending it through human-in-the-loop classification and retrieval-augmented generation. The throughline is that the shared structure is itself part of the method, not just the tool.