WissKI Dashboard
The Africa Multiple Cluster of Excellence holds research data on projects, people, institutions, and 2,900+ research items across four partner universities — but WissKI at the University of Bayreuth, the knowledge-base front end, offers limited options for visual exploration. This dashboard makes the underlying data browsable, filterable, and comparable through interactive charts, maps, and network graphs.
What you can explore
- Research sections and projects: Browse the six thematic areas (Affiliations, Arts & Aesthetics, Knowledges, Learning, Mobilities, Moralities) with Gantt timelines and beeswarm charts showing project distribution by section and year
- Research items: Full-text search over 2,900+ research items with faceted filtering (subjects, tags, countries, projects, languages) and per-item knowledge graphs
- People and institutions: Researcher directory with profiles linking to projects and items; institution pages showing partnerships and contributor roles
- Geography: Country, region, and city browsing with interactive maps and item counts
- Cross-collection comparison: Side-by-side visualisations (timelines, subject distributions, resource types) for any two universities or projects
Visualisations
Sixteen chart types — stacked timelines, bar and pie charts, word clouds, heatmaps, Sankey flow diagrams, sunburst hierarchies, chord diagrams, and force-directed network graphs — are available across the dashboard. All entities are deeply cross-linked: clicking a person, project, subject, or location badge navigates to its detail page, and optional deep-links connect items back to their source records in WissKI.
Architecture
Built with SvelteKit 5, ECharts 6, and Tailwind CSS 4, the interface reads MongoDB exports and university collection metadata to provide two main modes: Browse (searchable directories for projects, research items, people, institutions, locations, languages, subjects, resource types, and genres) and Visualise (an overview dashboard, per-collection explorer, side-by-side comparison, and force-directed network graphs).