JSON Schema for Machine Actionable Scientific Posters
Abstract
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
Fields of Study & Subjects
Research Data Management Practices
Digital Humanities and Scholarship
Academic Publishing and Open Access
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026
- Language
- EN