Physical Sciences Data Infrastructure
PSDI aims to accelerate research in the physical sciences by providing a data infrastructure that brings together and builds upon the various data systems researchers currently use.
Connecting Digital Research Infrastructures for the Physical Sciences
The aim of PSDI is to enable researchers in the physical sciences to handle data more easily by connecting the different data infrastructures they use. PSDI will connect and enhance existing infrastructure in Physical Sciences.
Through PSDI researchers will be able to:
- Find and Access to reference quality data from commercial and open sources
- Combine data from different sources
- Share data, software and models including experimental and simulation data
- Deploy close-to-data computation and containerisation of data and software
- Use AI to explore data
- Learn how to make the results of their research open and FAIR
The PSDI pilot phase ran from November 2021 – March 2022. In this pilot phase we undertook community engagement, scoping and design work. If you want to find out more or get involved in the design of PSDI please sign up to our mailing list or get in touch.
Nicola Knight is a research fellow at the University of Southampton and will be coordinating activities across the pilot project, working to deliver WP2 objectives and taking part in several WP4 case studies.
Position - Project PI
Juan Bicarregui is Head of the Data Division in the Scientific Computing Department at STFC. Juan heads up the investigator team working on PSDI.
Position - WP1 Lead
Jeremy Frey is Professor of Physical Chemistry, Head of Computational Systems Chemistry at University of Southampton and is the PI for the AI for Scientific Discovery Network. Jeremy takes the lead for our Governance and Strategy work package.