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Assessing record quality and completeness in geoscience collections
Element-level views of MIDS information elements are more useful than raw scores for targeting data improvement in large geoscience collections.
Adam Mansur ↗
From Images to Structured Data: A Scalable AI Workflow for Natural History Museums
A simple 'just do it' AI transcription pipeline with schema prompts, an intent step and full provenance can make label digitisation scale.
Anne Koivunen ↗
How is digitisation doing? Monitoring the increase in digitised collections using MIDS
MIDS can monitor global digitisation progress, and GBIF data show completeness improving unevenly and sometimes going backwards.
Elspeth Haston ↗
Towards Scalable Trait Measurements from Digitized Specimens
Matching rulers to an annotated reference set lets specimen images be calibrated to real-world units with under 1% error in 96% of cases.
Kenzo Milleville ↗
Understanding geological specimen use for effective digitisation strategies
Evidence from inquiries, loans and publications shows geological specimens have diverse, sometimes unexpected uses, which should shape which data are digitised first.
Rachel Walcott, Adam Mansur ↗
A framework for aligning collections data with the global data ecosystem from data creation to extension in the Smithsonian National Museum of Natural History Department of Paleobiology
Making paleo collections work in the global data ecosystem needs an iterative, full life-cycle framework, not one-off digitisation.
Holly Little ↗
Bridging the Gap: Strategies for Integrating Person Identifiers into Collection Databases
Wikidata's community-built person data can be used to pre-structure candidate matches, but expert judgement and institutional priorities remain essential for identifying collectors.
Frederik Berger ↗
Drawers in the dark harboring data that could spark - finding the sweet spot in collection digitization and mobilizing metadata from museum's collections
Plan digitisation for the easy 95%, capture a minimal dataset, and decide when good enough beats perfection.
Nora Lentge-Maaß ↗