The Finno-Ugric Data Sharing Space

A Prototype for Multilingual Cultural Knowledge Incubation with Advanced Data Governance and Wikimedia Integration

The Finno-Ugric Data Sharing Space connects dispersed cultural heritage knowledge across collections, languages and institutions.
The Finno-Ugric Data Sharing Space connects dispersed cultural heritage knowledge across collections, languages and institutions.
The Finno-Ugric Data Sharing Space (FinFAIR) is an experimental environment for connecting fragmented cultural heritage without centralising collections or curatorial authority. It combines federated knowledge infrastructure with human review, provenance and governance to create inspectable Heritage Digital Twins.

From Fragmented Heritage to Federated Digital Twins

Finno-Ugric heritage is dispersed across museums, archives, research collections, community resources and private holdings in several countries. These collections use different languages, identifiers, descriptive traditions and semantic models. Our aim is not to replace them with a universal database, but to make selected knowledge findable, inspectable and interoperable while preserving its provenance and local stewardship.

The project has evolved from an early Wikibase prototype into a testbed for Heritage Digital Twinning and semantic knowledge production. Our current work starts from heterogeneous source material, represents proposed interpretations as candidate assertions, subjects them to competent human review, and connects the resulting warranted knowledge through bounded federation.

The Finno-Ugric Data Sharing Space is developed through practical demonstrators, conference contributions and open working papers.
The Finno-Ugric Data Sharing Space is developed through practical demonstrators, conference contributions and open working papers.

EADH 2026

At the European Association for Digital Humanities conference in Kraków 2026 we present the current stage of this work through the paper From Fragmented Heritage to Federated Digital Twins, a hands-on workshop on building Heritage Digital Twins with open-source tools, and a poster bringing together the wider research programme.

The Dēliņi farmstead demonstrator provides the principal tutorial case. It connects buildings, museum reconstructions, photographs, archival documentation and other heterogeneous evidence while keeping distinctions between heritage entities, their representations and the knowledge established about them explicit. You can view and try out our worked tutorial examples to bring data into the format required by the ECCCH: Building Heritage Digital Twins with Open-Source Tools.

The practical environment combines our Wikibase-based Finno-Ugric Data Sharing Space, finnougric.net with the Sampo-UI for exploration, and Betwixt for human review and semantic knowledge stabilisation.

The Finno-Ugric Data Sharing Space is developed through practical data projects, digitisation efforts, conference contributions and open working papers.
The Finno-Ugric Data Sharing Space is developed through practical data projects, digitisation efforts, conference contributions and open working papers.

Work in progress

Four working papers develop the methodological foundations behind the demonstrators:

  • Semantic knowledge production — candidate assertions, evidence, competent review and warranted knowledge.
  • Review algebra — transitions from one stabilised knowledge state to another through explicit review.
  • Bounded federation — exchanging warranted knowledge across independently governed graphs without requiring centralisation or complete semantic agreement.
  • Betwixt vocabulary — a lightweight semantic model for intermediate assertions, mappings, review outcomes and provenance.

Together, this work explores a simple principle: federate warranted knowledge, not databases. Collections and ontologies can remain plural while the evidence, provenance and review history needed to inspect shared knowledge travel with it.

The project is an open research collaboration. We welcome cultural heritage collections, researchers and Wikimedia communities interested in Heritage Digital Twins, multilingual knowledge, federated cultural heritage data and accountable human–AI knowledge production.

References

Daniel Antal, Kata Gábor, Pigozne Ieva, Bogáta Tímár (2026). Federating Open Knowledge through Wikibase: The Case of The Finno-Ugric Data Sharing Space. Digital Humanities in the Nordic and Baltic Countries Publications. https://doi.org/10.5617/dhnbpub.12939

Daniel Antal, Michal Grochal, and Christos Varvantakis. 2024. ‘Building a Music Data Sharing Space with Wikibase’. Zenodo. https://doi.org/10.5281/zenodo.8046977.

Curry, Edward. 2020. ‘Dataspaces: Fundamentals, Principles, and Techniques’. In Real-Time Linked Dataspaces: Enabling Data Ecosystems for Intelligent Systems, 45–62. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-030-29665-0_3.

EBU, and Gaia-X. 2022. ‘Dataspace for Cultural and Creative Industries. Position Paper. v.2.0’. Gaia-X. https://gaia-x.eu/wp-content/uploads/2022/10/EBU_position-paper_Media-Data-Space.pdf.

Nagel, Lars, and Douwe Lycklama, eds. 2021. ‘Design Principles for Data Spaces. Position Paper. Version 1.0.’ Open DEI. https://doi.org/10.5281/zenodo.5244997.

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