We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

From Citizen Science to FAIRification: Wikibase Ecosystems for GLAM and Metadata Catalogues

Formal Metadata

Title
From Citizen Science to FAIRification: Wikibase Ecosystems for GLAM and Metadata Catalogues
Title of Series
Number of Parts
27
Author
License
CC Attribution - ShareAlike 4.0 International:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
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.