This session will showcase how we are continuing to reduce administrative burden, improve data quality, and enhance flexibility across the platform.
What’s new in 7.4
CV Import powered by AI
Quickly populate profiles by uploading a CV or pasting text, with Elements automatically extracting and mapping publications, grants, teaching, and professional activities. Built-in matching helps prevent duplicates, while a flexible review workflow enables users to validate and import items in bulk or individually.
Enhanced Item Evaluation Module
Expanded capabilities support more flexible and scalable assessment workflows, with bulk import tools, external review support, and streamlined progression between stages reducing administrative effort and improving visibility.
Additional updates
- Awards Management – Improvements to classifications, including alignment with Symplectic Elements label schemes, percentage-based tracking, and expanded reporting capabilities.
- Preferred record – A new item-level approach that overrides default data source precedence and ensures consistency across the platform.
- Discovery accessibility – Enhancements to public profiles to deliver a more accessible and user-friendly experience.
