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IPNI & PhytoKeys Integration

IPNI & PhytoKeys Integration. Nicky Nicolson (RBG Kew). What is IPNI?. Nomenclator for vascular plants. Collaboration btw RBG Kew (UK), Harvard University Herbaria (US) and Australian National Botanic Garden, Canberra (AU) Composed of three things: Data Expertise Services. What data?.

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IPNI & PhytoKeys Integration

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  1. IPNI & PhytoKeys Integration Nicky Nicolson (RBG Kew)

  2. What is IPNI? Nomenclator for vascular plants. Collaboration btw RBG Kew (UK), Harvard University Herbaria (US) and Australian National Botanic Garden, Canberra (AU) Composed of three things: • Data • Expertise • Services

  3. What data? • What data types: • ICN governed nomenclatural acts • Standardised author list • Publications • Which groups: • Vascular plants • Which ranks: • Family and below

  4. How is data entered? • Data entry: • From literature scanning, journals received by library at Kew, Harvard, Canberra • User reports of missing nomenclatural acts, usually accompanied by a link to digitised literature page (BHL) • How many? • About 7400 names entered in average year • About 6100 nomenclatural acts published / year • … of these about 2800 are tax. novs.

  5. Curation - after data entry • Fullaudithistory on core objects – names / authors / publications. • Average 300,000 edits on name records / year • Standardisation effort ongoing: • Assessment of nomenclatural status • Epithet • Author citation • Publication title • Collation • Year

  6. Current Phytokeys “integration” • Phytokeys staff email details to IPNI • IPNI editor creates record and returns IDs to Phytokeys • ID embedded in publication email != integration

  7. Future Phytokeys integration • Phytokeys submits structured (XML) message to IPNI service • IPNI service creates record “on-demand” and returns ID to Phytokeys in structured response • ID embedded in publication IPNI retains control of un-suppression No human communication – but we need to still have the opportunity to correct

  8. Evaluating it Benefits • Nomenclatural problems resolved pre-publication (workflow slower, but quality higher) • IPNI editorial role switched from keying to checking • IPNI identifiers seeded into literature • Published data more usable • Useful (automated) route into IPNI Costs (some but far smaller) : • Development / testing time

  9. Future • Extend this model to work with other publishers • A step towards registration? This changes the game: • Currently: a name missed is to IPNI's detriment - our dataset is deficient • With registration: a name missed will not be valid under the code

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