Published January 28, 2026
| Version 0.1.0
Software
Open
JSON Schema for Machine Actionable Scientific Posters
Authors/Creators
-
1.
California Medical Innovations Institute
- 2. FAIR Data Innovations Hub
Description
Scientific posters are a primary means of scholarly communication at conferences. Given that posters are usually shared in PDF or similar formats and that their structure varies greatly from poster to poster, their content remains largely inaccessible to programmatic discovery and analysis. We propose here a JSON schema for representing posters that enables:
- Machine-actionable analysis of poster content
- FAIR compliance when sharing posters
- AI-ready, structured representation for automated processing
Other
Funding: The Navigation Fund - Poster Sharing and Discovery Made Easy with Posters.science. Validated on 10 manually annotated scientific posters with 90% passing rate. Average metrics: word_capture=0.964, ROUGE-L=0.880, number_capture=0.914.
Files
poster-json-schema-v0.1.0.zip
Files
(617.1 kB)
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md5:68753b7961bfb5ff192d9559ffb8b0c2
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Additional details
Related works
- Is part of
- Other: https://posters.science (URL)
- Is supplement to
- Software: https://github.com/fairdataihub/poster2json (URL)
Funding
Software
- Repository URL
- https://github.com/fairdataihub/poster-json-schema
- Programming language
- JavaScript
- Development Status
- Active