Digital Science adds AI-assisted profile curation to Symplectic Elements platform
Digital Science has announced a new suite of AI-powered capabilities for its Symplectic Elements research information management platform, designed to streamline the capture and maintenance of faculty profiles at higher education institutions.
Addressing a persistent operational burden
The new AI-Assisted Profile Curation feature combines two comple-mentary tools: AI-Assisted Data Entry, which enables users to paste or upload content to generate structured records, and AI-Assisted CV Import – currently available as a beta release – which provides a complete document-to-profile workflow for onboarding and large-scale profile completion. The development addresses a longstanding challenge in research information management. Maintaining accurate and up-to-date faculty profiles is labour-intensive, with institutions reporting an average of 20 hours spent establishing a complete profile for a single new faculty member. Information critical to institutions typically resides in CVs and unstructured documents, requiring substantial manual effort to transfer into structured systems.
From unstructured document to structured record
Once a document is uploaded, the AI extracts and maps content to an institution’s existing metadata schema, including custom fields and item types. Enhanced matching and deduplication logic checks extracted records against existing Elements publications and grant data, cross-referencing a range of external identifiers – including DOI, PMCID, arXiv ID, Scopus EID, and Dimensions grant references – to prevent duplicate entries before they enter the system. The solution supports the full range of academic and professional activities captured in Symplectic Elements, encompassing publications, grants, teaching, committee service, and professional contributions. This breadth is noted as particularly significant for faculty in Arts, Humanities, and other disciplines whose outputs are rarely available through automated harvesting sources.
Built natively into Symplectic Elements, the capability requires no additional integration for Digital Science-hosted customers.
Human oversight retained throughout
Human-in-the-loop safeguards ensure that no data is applied to a profile without explicit user review and confirmation. Institutional administrators retain full control to enable or restrict access at group level.
Jonathan Breeze, Executive Vice President of Academic at Digital Science, said: “AI-Assisted Profile Curation is the latest way we are helping researchers and administrators effortlessly populate Elements profiles. It offers customers (both new and existing) an innovative way to onboard new users of Elements with minimal manual effort, across every discipline and we’re excited to see how our customers choose to adopt this latest feature.” Digital Science describes Symplectic Elements as the first platform to bring AI-assisted research profile management to academic institutions at scale.
For more information, visit: symplectic.co.uk
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