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docs: add editable Orinoco Lite poster for US-RSE 2026 - #20

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@leej3 leej3 commented Sep 9, 2026

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AI-generated draft — not reviewed by John

Adds the editable Orinoco Lite poster beside its US-RSE abstract in
2026-usrse/. The poster compares the Psychoinformatics and CON operating
models, explains the GitHub curation design, and labels measured development
results and remaining work. The submitted abstract and presenter order are
preserved.

The SVG contains selectable text, named layers, and embedded vector artwork.
Editing/export notes and a venue README link make it discoverable. A narrow
Git attribute keeps the editable source directly available in Git; generated
PDFs continue to follow the directory's existing ignore rule. The 48 × 36 inch
canvas is provisional pending conference printing requirements.

Validation: Snapper passed; SVG XML and local document links checked; all 84
text objects remain editable. The source matches the visually inspected draft,
whose PDF was verified as one 48 × 36 inch page with searchable text.

Place the vector poster beside its submitted abstract and document editing,
PDF export, and the scope of its development-site results. Keep the SVG in
ordinary Git so reviewers can inspect the editable source directly.

Co-Authored-By: Codex Desktop 26.901.51231 (runtime codex-cli 0.153.4) / gpt-6-astra <codex@openai.com>
Codex-Reasoning-Effort: ultra
@leej3

leej3 commented Sep 9, 2026

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Current feedback:

  • Screenshots of front page, graph etc.

  • Workflows on either side (add screenshots so people what we are talking about) including shacl vue editor

  • We should use Orinoco's own graphic for metadata curation (svg on hub)

  • Could also point to reprotube video with steffan (inm-7)

  • explain Dump things server

  • Add QR codes for links (get bids example of creation from Yarik)

  • Shrink titile and put Con logo in middle etc.

  • remove stuff at bottom to make space for content we want

  • Decide the guidance on submodule/git-annex usage.

  • Demonstrate second output for the data store. Can use upstream examples if we don't have time.

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