PSDI is so much more than a Digital Infrastructure. It’s also about building and connecting with our community. PSDI runs webinars, workshops, community townhalls and training events, we invite you to attend have a look at our upcoming events, look at our past events or check out our event recordings.
The Henry Royce Institute and the Physical Sciences Data Infrastructure (PSDI) are pleased to announce the PSDI & Royce Materials Data Summit, which will be held from 29th to 31st July 2026 at the University of Manchester.
This interactive workshop has been co-created by the Physical Sciences Data Infrastructure (PSDI) and the AI in Chemistry Hub (AIchemy). It aims to bring together researchers, data professional and infrastructure developers to facilitate knowledge exchange and explore what it truly means to be “AI Ready”.
PSDI is launching a new webinar series, to showcase the tools and resources developed through the funding call 2025, introduce them to a wider community, and engage relevant user groups.
PSDI is launching a new webinar series, to showcase the tools and resources developed through the funding call 2025, introduce them to a wider community, and engage relevant user groups.
PSDI is launching a new webinar series, to showcase the tools and resources developed through the funding call 2025, introduce them to a wider community, and engage relevant user groups.
PSDI is launching a new webinar series, to showcase the tools and resources developed through the funding call 2025, introduce them to a wider community, and engage relevant user groups.
This webinar, presented by Dr Jas Kalayan, demonstrates how BioSimDR transforms scattered biomolecular simulation data into interoperable, provenance-rich resources for broader reuse.
This machine learning for materials training course is being run at Daresbury Laboratory by the Physical Sciences Data Infrastructure (PSDI) initiative in collaboration with AIChemy, STFC-SCD, PSDS, CCP5 and CCP9. This training is targeted towards PhD students, in particular those in the Materials and Molecular Simulations field. The aim of this training is to introduce attendees to the latest methods of machine learning applied to atomistic simulation of materials.
Save the date for our one-day workshop at the University of Bath on paramagnetic NMR! Expert talks will cover experimental and computational pNMR, followed by a hands-on session with support on your own data. Ideal for researchers working with paramagnetic metal complexes.
Save the date for our next community Electronic Research Notebooks event! This half day webinar will share success stories of real-world ERN implementations, demonstrating how different institutions have successfully implemented different tools to enhance their research practices. This event is intended for anyone interested in implementing ERNs or in understanding the value that they can bring.
This webinar, presented by Samuel Munday, shows how computer vision and domain-specific AI unlock chemical “dark data,” transforming static literature, patents, and notebooks into interoperable, AI-ready research assets.
This half-day, in-person workshop at IDCC26 will explore how data management plans (DMPs) can evolve from static, compliance-driven documents into smart, active, and integrated tools that better support research, reuse, and reproducibility. Through short talks and group discussions, participants will share experiences and collaboratively imagine the future of DMPs in practice.