Posters.science - User Experience

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Authors: James O'Neill, Nahid Zeinali, Sanjay Soundarajan, Bhavesh J. Patel
Cited by: 0

Abstract

This document provides an overview of the user workflows for sharing and discovering scientific posters through Posters.science, a free and open-source platform designed to make scientific posters FAIR (Findable, Accessible, Interoperable, and Reusable) and AI-ready. The document covers the platform's homepage design, the multi-step poster sharing workflow (including AI-powered metadata extraction and repository integration), and the discovery interfaces (standard search, Smart Search with semantic embeddings, and analytics dashboards). This document serves as internal planning documentation for the FAIR Data Innovations Hub team and as a basis for gathering feedback from collaborators and potential users.

Fields of Study & Subjects

Research Data Management Practices Academic Publishing and Open Access Scientific Computing and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 January 2026
Language
EN