Research information lives in many places, but one source often tells the most complete story of a researcher’s work: their CV. For anyone who’s ever dreaded updating a researcher profile by hand: AI-Assisted CV Import is now live in Symplectic Elements and has been designed to address this challenge.
Here’s the idea in a nutshell. Instead of manually keying in publications, grants, teaching activities, professional activities and all the other things that make up a research career, users can simply upload a CV as a PDF (up to 5MB) or paste in unstructured text. Symplectic Elements takes it from there, using AI to read the document, extract the relevant details, and map them into structured records — ready for review. Whether onboarding new researchers, completing incomplete profiles or preparing for reporting and assessment activities, AI-Assisted CV Import helps institutions build more complete and trusted researcher profiles while significantly reducing manual effort.
AI-Assisted CV Import is one of the two capabilities of AI-Assisted Profile Curation, alongside AI-assisted data entry for single items. Together, they’re about giving researchers their time back, so they can spend less of it on admin and more of it on the work that matters.
A few details that make it smarter
Intelligent deduplication and matching: Maintaining accurate and trusted researcher profiles means minimising duplicate records wherever possible. AI-Assisted CV Import uses intelligent matching and deduplication capabilities to identify records that already exist within Symplectic Elements and external data sources, simplifying the review process and reducing unnecessary duplication.
When multiple records represent the same research output, the capability prioritises records that already exist within Symplectic Elements. This means users are presented with a single, clear match wherever possible, rather than being asked to choose between equivalent versions of the same item. The result is a quicker, more intuitive import experience and more consistent research information across the institution.
Previous imports are remembered. When a user imports an item from their CV or excludes it from import, Symplectic Elements remembers that decision. Upload an updated CV later, and matching text will be flagged as “Already in profile” or “Excluded”, as appropriate. Users can still bring an excluded item back into the mix at any point during review, but they don’t have to redo work they’ve already done.
AI-Assisted Profile Curation is available to Digital Science-hosted Symplectic Elements customers and uses AI Credits.
AI-Assisted Profile Curation
To learn more about AI-Assisted Profile Curation, speak to a member of our team.
