Bring your data, outputs, and impact together across Engagement & Impact, and People, Culture & Environment, and Contribution to Knowledge & Understanding
Time: 3:00pm UK | 10:00am ET | 4:00pm CET
Duration: 55 minutes (40 minutes presentation, 15 minutes live Q&A)
REF is changing.
The challenge is not producing strong research. It is being able to evidence it clearly, consistently, and at scale when it matters. This session will show how to move from fragmented systems to year-round REF readiness.
Why attend
- Reduce risk from missing or fragmented data
- Build stronger, defensible REF narratives
- Replace manual processes with connected workflows
- Prepare early, not under pressure
What you’ll learn
Contribution to Knowledge & Understanding (CKU)
Powered by Dimensions and Figshare
- Identify missing outputs and strengthen completeness
- Add context and benchmarking to support submissions
- Present diverse outputs clearly for reviewers
Engagement & Impact (E&I)
Powered by Altmetric, Symplectic Elements and Figshare
- Surface early signals of engagement and uptake
- Connect outputs to policy, media, and real-world use
- Capture and evidence impact continuously
People, Culture & Environment (PCE)
Powered by Symplectic Elements, Dimensions and Figshare
- Track collaboration, supervision, and research culture
- Support governance, compliance, and reporting
- Evidence institutional strategy with confidence
Who should attend
This session is designed for teams responsible for REF strategy, research performance, and institutional reporting, including but not limited to, Research leadership and strategy, Research office and REF delivery, Library and open research leadership, Systems, data and infrastructure, Impact, engagement and compliance.
Speaker:
Shane Jackson | Pre-Sales Solutions Specialist – Academic & Publisher | Digital Science
I work with universities, research institutions and publishers in EMEA, using my expertise in Dimensions and Altmetric, to demonstrate how Digital Science products can solve research information problems. I re-joined Digital Science in 2025, having previously worked in the technology team. I also have eight year’s experience working as data analyst in the research office at the University of Exeter in the UK. There I developed, demonstrated and managed data products and tools to help the university answer questions about its research, and supported initiatives such as the Research Excellence Framework (REF) submission in 2021.
