Meaningful impact measurement starts with trusted, accurate data. Join us for a behind-the-scenes look at how scholarly data is sourced, aggregated, and disambiguated to improve validity, transparency, and interoperability. Research impact doesn’t happen in silos, but data often does. Connecting information across systems and departments is key to creating a complete, validated view of scholarly activity.

We’ll explore the critical role of data accuracy and faculty validation in ensuring research outputs are represented clearly and reliably. You’ll hear from product experts and peers as they unpack data sourcing and integration practices that support stronger analysis, confident reporting, effective benchmarking, and informed strategic decision-making, with plenty of time for questions and discussion.