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Digital Science adds AI-powered summaries to Symplectic Elements to drive research discoverability

2025-02-27
(Press-News.org) Digital Science has today announced new enhancements to Symplectic Elements, which will now offer the ability to embed AI-generated summaries for publication abstracts within a researcher’s public profile. 



Symplectic Elements, a leading research information management system (RIMS), enables the creation of comprehensive public profiles. These profiles are hosted on sleek, modern, and intuitive online portals that offer advanced search and discovery capabilities while ensuring alignment with organizational branding. Profiles can be made available not only for researchers and faculty but also for equipment, services, and other institutional resources. 



Symplectic Elements currently underpins the profiling portals for over 70 organizations, including academic institutions (such as University College London, University of Oxford and Virginia Tech), consortia (Ohio Innovation Exchange) and governmental organizations (Australian Nuclear Science and Technology Organisation).



With the introduction of cutting-edge AI functionality, abstract summaries can now be displayed within a researcher’s public profile. These AI summaries can be generated on-demand by a visitor to provide a concise, at-a-glance synopsis of research outputs. Using the publication title and abstract as a source, the Dimensions powered system generates a summary, key highlights, and top keywords, helping visitors quickly assess the relevance of an output to their research - increasing the discoverability of research work, without adding extra administrative burden to faculty members. This new AI summarization functionality operates in a private and secure environment and opt-out is available at both an institutional / organization level and at an individual level.



"AI is transforming the way we manage, and share information, and Digital Science is proud to lead the way with solutions that enable the academic community to maximize its research impact,” said Jonathan Breeze, EVP Academic Markets at Digital Science. “Adding AI-powered summaries to Symplectic Elements public profiles will aid research discoverability and demonstrates Digital Science’s commitment to making use of AI technologies to support the research community.”



“This is another step in Digital Science's program of AI-based product enhancements that work synergistically with research workflows,” said Daniel Hook, CEO of Digital Science. “Part of being a responsible contributor to infrastructure in the scholarly space is to ensure that new functionality is augmentative and safe to use and we pride ourselves on an incremental approach designed to support researchers at all stages of their career."






About Symplectic



Symplectic works in pursuit of the advancement of knowledge, delivering flexible research management solutions that help government and federal departments, funding organisations and academic institutions achieve their research goals. Its flagship products include Symplectic Elements, a research information management system that captures, analyses and showcases scholarly activities, and Symplectic Grant Tracker, providing specialist tools to streamline the grants management lifecycle.



About Digital Science



Digital Science is an AI-focused technology company providing innovative solutions to complex challenges faced by researchers, universities, funders, industry and publishers. We work in partnership to advance global research for the benefit of society. Through our brands – Altmetric, Dimensions, Figshare, IFI CLAIMS Patent Services, metaphacts, OntoChem, Overleaf, ReadCube, Symplectic, and Writefull – we believe when we solve problems together, we drive progress for all. Visit www.digital-science.com and follow @digitalsci on X or on LinkedIn.



 



Media contact



David Ellis, Press, PR & Social Manager, Digital Science: Mobile +61 447 783 023, d.ellis@digital-science.com

END


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[Press-News.org] Digital Science adds AI-powered summaries to Symplectic Elements to drive research discoverability