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Details of Grant 

EPSRC Reference: EP/S020357/1
Title: An EPSRC National Research Facility to facilitate Data Science in the Physical Sciences: The Physical Sciences Data science Service (PSDS)
Principal Investigator: Coles, Professor SJ
Other Investigators:
Bicarregui, Dr J Frey, Professor JG Matthews, Dr BM
Researcher Co-Investigators:
Project Partners:
Department: School of Chemistry
Organisation: University of Southampton
Scheme: Standard Research - NR1
Starts: 01 January 2019 Ends: 31 December 2023 Value (£): 2,996,067
EPSRC Research Topic Classifications:
Analytical Science Bioprocess Engineering
Carbon Capture & Storage Catalysis & Applied Catalysis
Chemical Biology Chemical Synthetic Methodology
Co-ordination Chemistry Condensed Matter Physics
Electrochemical Science & Eng. Fuel Cell Technologies
Gas & Solution Phase Reactions Materials Characterisation
Materials Processing Materials Synthesis & Growth
Oil & Gas Extraction Particle Technology
Physical Organic Chemistry Separation Processes
Surfaces & Interfaces Sustainable Energy Vectors
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:
Panel DatePanel NameOutcome
28 Aug 2018 Physical Sciences Database Announced
Summary on Grant Application Form
The modern physical scientist cannot perform their research without generating significant quantities of data, having recourse to related/prior data, significant data analysis and integrating results with other data. This requires a range of skills and resources that are not available to the majority of physical scientists. There is therefore an urgent need in the physical sciences for providing access to data and integrating them with data science approaches. This requires building a new skills base that enables and empowers working in a data science way.

The Physical Sciences Data-science Service (PSDS) will provide a single place where existing databases, open data sources and data that is still being worked on can be stored and searched in a unified way. This means that it will become trivial to find and combine different types of physical sciences data - from details on structure to measured physical properties of materials. It will also make possible instant comparison of and context for experiment data with that already available.

This is just the start however. There is enormous potential for being able to perform data science across all of these data, that is for example, Machine Learning and Artificial Intelligence approaches, which are becoming a new avenue of research in their own right.

It is vital that data science becomes a routine tool for all physical scientists. For many this will mean learning new skills. The PSDS will therefore develop a training programme around the four main competencies (statistics, programming/tools, computational methods & data visualisation) required to perform data science. Identified links with networks and postgraduate training will enable PSDS users to gain deeper skills in various aspects of data science.

The long-term aim is for the PSDS, and therefore data science, to become a seamless, key part of the research infrastructure for physical scientists.

Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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Organisation Website: http://www.soton.ac.uk