talk · Tuesday 22 September · SAL B

Open Digital Curation Needs: openness, interoperability, provenance

Deborah Paul · Responsible AI, Open Digital Curation, and Round-Tripping for Biodiversity Data

Recording time 2:29:31–2:44:41Open on Vimeo ↗

The short versionOpen digital curation increases transparency, agency and trust and reduces latency, but needs new provenance practices for AI.

Overview

What this was about

Deborah (Debbie) Paul, from the team behind TaxonWorks, Catalogue of Life work and Global Names, argued that open digital curation - built on openness, interoperability, provenance and identifiers - empowers wider participation and shortens the path from spotting an error to fixing it. Examples included Bionomia profiles that keep deceased collectors' expertise attributed, an iNaturalist user fixing names directly in the Orthoptera Species File, and TaxonWorks features letting projects search and clone each other's controlled vocabularies linked to ontologies. She welcomed agents (including LLMs) with roles in the Darwin Core Data Package, raised questions about what provenance we must now track for AI use, and asked how shifting openness (API keys, CC0 to CC BY, logins) will affect interoperability.

Why it matters. Frames the symposium's themes and poses concrete open questions for standards around AI provenance and openness.

Key ideas

In the room

  • Her team works on TaxonWorks, Catalogue of Life and Global Names; about 25% of Catalogue of Life names reaching the GBIF backbone come from TaxonWorks workbenches.
  • Openness, interoperability and provenance all depend on identifiers and TDWG standards; most interoperability pieces now exist.
  • Bionomia lets expertise of people no longer active continue to be credited; an early-career researcher's Zenodo dataset updated via the Bionomia API has been downloaded over 1,000 times.
  • Human-mediated round-tripping: an iNaturalist user reports Orthoptera name issues directly in the Orthoptera Species File GitHub repo, shortening the time to fix.
  • TaxonWorks lets projects create controlled vocabulary terms linked to ontology URIs (e.g. 'petiole' in plants vs insects), and search and clone other projects' terms.
  • Darwin Core Data Package agents can be LLMs; agents need identifiers and roles, which aligns with TaxonWorks' person-role model.
  • Journal policies (e.g. Pensoft) ask authors to state AI use in methods and forbid reviewers putting unpublished manuscripts through AI.
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Notable moments

In their words

Transcript

Automatically generated captions can contain mistakes, especially in names and technical terms. Times are relative to the room recording.

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