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Reference Number EP/S020357/1
Title An EPSRC National Research Facility to facilitate Data Science in the Physical Sciences: The Physical Sciences Data science Service (PSDS)
Status Started
Energy Categories NOT ENERGY RELATED 90%;
OTHER CROSS-CUTTING TECHNOLOGIES or RESEARCH(Other Supporting Data) 10%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Professor SJ Coles
No email address given
School of Chemistry
University of Southampton
Award Type Standard
Funding Source EPSRC
Start Date 11 January 2019
End Date 10 January 2024
Duration 60 months
Total Grant Value £2,996,067
Industrial Sectors No relevance to Underpinning Sectors
Region South East
Programme NC : Infrastructure, NC : Physical Sciences
 
Investigators Principal Investigator Professor SJ Coles , School of Chemistry, University of Southampton (99.997%)
  Other Investigator Professor JG Frey , School of Chemistry, University of Southampton (0.001%)
Dr J Bicarregui , Scientific Computing Department, STFC (Science & Technology Facilities Council) (0.001%)
Dr BM Matthews , Scientific Computing Department, STFC (Science & Technology Facilities Council) (0.001%)
Web Site
Objectives
Abstract 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.
Publications (none)
Final Report (none)
Added to Database 19/03/19