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From biodiversity data to knowledge in the age of AI: where do ontologies and standards fit?
AI can generate data and candidate knowledge, but only standards, ontologies, provenance and governance let data become trusted evidence and therefore knowledge, which is why TDWG matters more than ever.
Ramona Walls ↗
Sámi perspectives on biodiversity data governance: when biodiversity data travel, does their governance travel with them?
Biodiversity data about lands, ecosystems and species can be Indigenous data, so infrastructures must ask whether context, authority and responsibilities travel with the data as FAIR makes them easier to reuse.
Máret J. Heatta ↗
Closing the Loop: The DiSSCo Annotation Validation Framework for Trustworthy Data Round-Tripping
DiSSCo proposes impact-based, layered validation so trusted annotations are promoted automatically and only high-impact ones need expert review.
Wouter Addink ↗
Everything is coded: How to prevent a game of telephone in a system full of interfaces
Shared understanding of what data means must be established at the start of a pipeline; standard formats alone won't stop meaning drifting between people.
Franziska Schuster, Jasper ↗