While Wikipedia is foundational internet infrastructure, its structured data complement, Wikidata, drives an equally powerful, less visible impact. This panel showcases applications for publishing metadata within this collaborative ecosystem. We evaluate the impact of making Linked Open Data accessible to local researchers and AI systems.
Speakers address FAIR open data principles, strategies to mitigate systemic information gaps, and the value of public access to reference datasets for elevating marginalized demographics and promoting scholarly dissemination.
Each presenter, an active Wikipedia and Wikidata editor, shares a case study:
- Dorothy Howard / user:Hexatekin (Pratt Institute): Focuses on accommodations for neurodivergent users, presenting data modeling approaches designed to enhance accessibility for neurodiversity in architecture.
- Robin Isadora Brown / user:RobinIsadorable (Trans Music Archive): Develops data models for transgender musicians. This highlights ethical challenges: while public figures openly share identities, permanent demographic tagging in structured datasets introduces privacy and safety complications.
- Lane Rasberry / user:Bluerasberry (University of Virginia): Explores WikiCite, outlining technical challenges and opportunities in accurately linking individuals with their academic works, publications, and affiliated institutions.
August 26th, 9am – 10am EDT (13:00-14:00 UTC)
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