From Citizen Science to FAIRification: Wikibase Ecosystems for GLAM and Metadata Catalogues
| MediaWiki Users and Developers Conference Fall 2025 | |
|---|---|
| From Citizen Science to FAIRification: Wikibase Ecosystems for GLAM and Metadata Catalogues | |
| Talk details | |
| Description: | From Irish Ogham stones to software registries, this talk highlights how Wikibase enables community participation, semantic modelling, and FAIR data practices across GLAM and Metadata Catalogues. Real-world use cases illustrate how Wikibase instances interconnect as sustainable hubs in an interdisciplinary knowledge ecosystem. |
| Speaker(s): | Florian Thiery |
| Type: | Talk |
| Audience: | Everyone, Developers, Community, Academics |
| Event start: | 2025/10/29 10:10:00 |
| Event finish: | 2025/10/29 10:30:00 |
| Length: | 20 minutes |
| Video: | click here |
| Keywords: | linked data, wikibase, wikidata |
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This talk explores how Wikibase functions as a Semantic Knowledge Base within GLAM and computational archaeology, embedded in a broader interdisciplinary knowledge ecosystem. Three illustrative clusters are presented:
(a) Community‑based Wikibase Instances – using community-driven platforms such as Wikidata, FactGrid, and Semantic Kompakkt to engage Citizen Scientists through federated queries. We will share a case study involving Irish Ogham inscriptions and Irish Holy Wells, enriched with SfM 3D models.
(b) Research‑focused instances on wikibase.cloud – demonstrating the modelling of uncertainty using the fuzzy‑sl Wikibase, and the integration of 3D object Wikibases, e.g. via SquirrelBase.
(c) Community‑driven reference hubs for FAIRification tools and software catalogues – showcasing the implementation of FAIRification tools like re3dragon (the “dragon lair”) and upcoming software registries such as chublets.software – based on open‑archaeo – contributing to NFDI4Objects and the NFDI software ecosystem via nfdi.software.
Together, these examples illustrate how Wikibase supports interoperability, citizen science, and the FAIR (and FAIR4RS) principles, forming a sustainable ecosystem of knowledge bases across domains. The talk will share insights on data modelling, tool integration, federated access, and sustainability challenges of interdisciplinary infrastructures.