| 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: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Sch of Chemistry |
| Organisation: |
University of Southampton |
| Scheme: |
Standard Research - NR1 |
| Starts: |
11 January 2019 |
Ends: |
10 January 2026 |
Value (£): |
4,186,496
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| 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 |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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28 Aug 2018
|
Physical Sciences Database
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Announced
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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.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.soton.ac.uk |