Linked Open Culture: How Wikimedia Bridges Art, Research, and Open Science

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Linked Open Culture: How Wikimedia Bridges Art, Research, and Open Science

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In this Vienna-recorded episode, hosts Marta and Gabi talk with Dr. Kasia Makowska (Wikimedia Polska) about how Wikimedia projects — especially Wikidata — are transforming open cultural data and supporting research in the humanities and arts.

Continuing our focus on Open Science practices within the SCIROS project, we explore how Wikidata’s structured, multilingual knowledge base helps researchers connect artworks, collections, and institutions worldwide. Kasia discusses how Wikimedia supports FAIR data principles, what makes community-driven infrastructures sustainable, and why multilingual open data is essential for inclusive knowledge sharing.

💡 Highlights:
• How Wikidata contributes to Open Science in SSH
• GLAM–Wikimedia collaborations and open culture initiatives
• The global “Sum of All Paintings” project
• Multilingual data and decentralizing knowledge
• Practical advice for researchers and curators opening their data

🎧 The Big Open Science Podcast continues to explore how openness shapes research workflows, infrastructures, and innovation across the humanities and social sciences.

Core resources

Wikidata: https://www.wikidata.org
WikiProject Sum of All Paintings: https://www.wikidata.org/wiki/Wikidata:WikiProject_sum_of_all_paintings
Scolia (Wikidata scholarly profiles): https://scolia.toolforge.org
Wikimedia Projects blog post on Wikidata and GLAM: https://diff.wikimedia.org/2016/08/23/wikidata-glam/
Wikimedia Polska: https://pl.wikimedia.org
GLAM-Wiki Poland: https://pl.wikimedia.org/wiki/GLAM

Events & learning

Webinar “Wikidata from a research perspective” (Dec 11) – scientific webinar on using Wikidata in research:
https://www.facebook.com/events/1488540905770149
Conference Open Knowledge: Wikimedia & Research – research, open data, and Wikimedia infrastructures:

Facebook: https://www.facebook.com/WikimediaPolska/posts/pfbid02G5gSQVXAgojoKwzG8CKdqjZdgdyFNVt9UUWFbgShXLs3mnqnyrjsw2RYvCA8yaEwl

LinkedIn: https://www.linkedin.com/posts/wikimedia-polska_wikimediapolska-openknowledge-openscience-activity-7400069691723091968-McUN

Episode transcript: https://sciros.hypotheses.org/1832

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