Funded by: EPSRC, NERC & ESRC
All UK Energy researchers
Partners and stakeholders:
UKERC Consortium, the Energy Technologies Institute (ETI), the Energy Systems Catapult, Ofgem, and the Energy Data Taskforce
Originally known as the UKERC Research Atlas, the system aims to create a hub of information on all publically funded energy research happening in the UK. The basic information is derived from the various data sources provided by such bodies as the Research Councils, but this information is then tagged by extra dimensions:
- Energy category, broadly based on the International Energy Agency classification
- Type of R&D funding
- Science and technology description
- Description of the cross-cutting inter-disciplinarily of the project.
The UKERC Energy Data Centre is developed and maintained for UKERC by the Energy Research Unit at STFC Rutherford Appleton Laboratory.
The searchable system consists of seven components, all originally distinct but now being brought together:
- Data Catalogue – our collection of energy-related datasets; some are curated by the Energy Data Centre, but there are links to others held elsewhere
- Project Catalogue – this contains information about publically funded research in energy derived from a range of funding bodies. This can be searched, and once searched, filters can be applied to narrow down your search for more targeted results.
- Landscapes (“Where we are today”) – these provide a comprehensive account of competencies and publicly funded activities in energy research, and development and demonstration in the UK.
- Roadmaps (“Where we should be going”) – a collection of national and international documents summarizing the problems to be overcome before new technologies can be commercially viable.
- ETI Publications – these are the publically accessible outputs of the Energy Technologies Institute (ETI).
- UKERC Publications – these are publications published by UKERC, or produced as a result of UKERC’s activities.
- Visualizations – a collection of visual tools for understanding large datasets.
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