Access to the Data Archive is provided free of charge. While the UKERC-EDC will continue to make every effort to ensure accuracy of data and description, it cannot be held responsible for any errors; any risks associated with the use of the data remain entirely the responsibility of those downloading it. Users are reminded that they should acknowledge the original data provider and the UKERC-EDC in all cases where the data is used.
It is necessary to register with the UKERC-EDC in order to access some data sets; this is required both to inform data providers of the level of interest in their data and to allow users to be informed if the data set is updated or additional information made available. Registering to use these data sets will be taken as acceptance that the applicant’s name, institution, and e-mail address can be stored and used for these purposes
You can offer us datasets in two ways:
The EDC team have written a short guide about how data should be prepared for deposit, which gives guidance about the preferred file formats, naming conventions, preferred date/time formats, documentation required, information needed to create a metadata, and finally how data should be transmitted to the EDC. Guidance for Data Providers.
If you already have a dataset published elsewhere and would like the EDC to link to it, we would be pleased to do so if you complete our online submission form
The Data Catalogue has a simplified version of the Energy Categories used in the rest of the UKERC Energy Data Centre.
|ENERGY CONSUMPTION / ENERGY EFFICIENCY||Industry|
|FOSSIL FUELS: OIL, GAS & COAL||Oil and Gas|
|CO2 Capture and Storage|
|RENEWABLE ENERGY SOURCES||Solar Energy|
|Hydro Power (large)|
|Hydro Power (small)|
|NUCLEAR FISSION and NUCLEAR FUSION||Nuclear Fission|
|HYDROGEN and FUEL CELLS||Hydrogen|
|OTHER POWER and STORAGE TECHNOLOGIES||Electric Power Conversion|
|Electricity Transmission & Distribution|
|NON-TECHNICAL ENERGY DATA||Energy Models|
All data published by the UKERC-EDC is required to have full documentation to facilitate the end-user
The minimum requirement is the Metadata description as specified below
Any other associated documentation which would help the end-user of the data should be listed under the heading “Other information” and submitted with the data.
|IDENTIFIER||An unambiguous reference to the resource within a given context. Recommended best practice is to identify the resource by means of a string or number conforming to a formal identification system. Examples of formal identification systems include the Uniform Resource Identifier (URI) (including the Uniform Resource Locator (URL), the Digital Object Identifier (DOI) and the International Standard Book Number (ISBN).
|TYPE|| The nature or genre of the content of the resource. Type includes terms
describing general categories, functions, genres, or aggregation levels for
content. Recommended best practice is to select a value from a controlled
vocabulary (for example, the DCMIType vocabulary).
To describe the physical or digital manifestation of the resource, use the FORMAT element.
In our system, only two Types are used: Dataset for datasets that we are curating, and Link for datasets held elsewhere
The name given to the resource. Typically, a Title will be a name by which the resource
is formally known.
e.g. Title=”UK Appliance Energy Efficiency Ratings”
An account of the content of the resource. Description may include but is
not limited to: an abstract, table of contents, reference to a graphical representation
of content or a free-text account of the content.
e.g. Description=”Table of (domestic) appliance type with minimum, maximum, and typical energy efficiency ratings”
Digital Object Identifier (DOI) is a unique alphanumeric string assigned by a
registration agency (the International DOI Foundation) to identify content and
provide a persistent link to its location on the Internet.
If requested, we can mint DOIs for the datasets that we curate. e.g. DOI=”10.5286/UKERC.EDC.000002”
An entity primarily responsible for making the content of the resource. Examples of a
Creator include a person, an organization, or a service. Typically the name of the
Creator should be used to indicate the entity.
e.g. Creator=”Environmental Change Institute, University of Oxford”
The entity responsible for making the resource available. Examples of a Publisher include
a person, an organization, or a service. Typically, the name of a Publisher should be used
to indicate the entity.
e.g. Publisher=”UK Energy Research Centre”
Information about rights held in and over the resource. Typically a Rights element will
contain a rights management statement for the resource, or reference a service providing
such information. Rights information often encompasses Intellectual Property Rights (IPR),
Copyright, and various Property Rights. If the rights element is absent, no assumptions
can be made about the status of these and other rights with respect to the resource.
e.g. Rights=”Access limited to registered users”
|ENERGY DATA CATEGORY||Classification by UKERC UK Energy Data Centre Energy Classification, based on the IEA R&D nomenclature at Area and Sector level. These are listed in the previous section of this FAQ.|
This is the broad area of application of the dataset.
The extent or scope of the content of the resource. Coverage will typically include
spatial location (a place name or geographic co-ordinates), temporal period
(a period label, date, or date range) or jurisdiction (such as a named administrative entity).
In our system, we have split this into Geographic and Time Coverage
e.g. Coverage=“2004-2005”; Coverage=“United Kingdom”
In our system, we have separated Geographic Coverage from Tme Coverage
e.g. Geographic Coverage = “United Kingdom”
The physical or digital manifestation of the resource. Typically, Format may include the
media-type or dimensions of the resource. Examples of dimensions include size and duration.
Format may be used to determine the software, hardware or other equipment needed to display
or operate the resource.
e.g. Format=”image/gif”; Format=”application/Excel”
A language of the intellectual content of the resource.
Type of data such as time series; spatial distribution; technical specification
e.g. Data Type = “Aggregated”
List of parameters measured in the dataset, and their units.
|UNITS||The granularity of measurement
e.g. Units = “household”
|NUMBER OF UNITS||
How many units are covered by this datase
e.g. Number of Units = “5” meaning 5 households
|NUMBER OF RECORDS||
How many records the dataset contains. This can be an approximation to give an idea of scale
e.g. Number of Records = “500K” for about 500,000 records
Links to Metadata sheets or external reports for related information (e.g. list of other
appliance types, device specification, stock information, etc.)
e.g. Related Datasets = “CSE's rural fuel poverty website ( www.ruralfuelpoverty.org.uk) is no longer being updated but still contains useful information and data. It focuses on rural fuel poverty particularly in relation to 'hard-to-treat' homes and includes downloadable maps and data. ”
Other useful information about the dataset
e.g “In March 2008, this gas consumption dataset gained National Statistics status. This status applies to all data from 2005 onwards. Please note that the 2004 data are still classed as experimental. Gas consumption statistics for 2004 (experimental), and 2005 to 2014 (National Statistics) are available below. Included in the dataset are estimates of:
The topic of the content of the resource. Typically, a Subject will be expressed as
keywords or key phrases or classification codes that describe the topic of the
resource. Recommended best practice is to select a value from a controlled vocabulary
or formal classification scheme.
e.g. Subject=”Energy efficiency ratings”
|Metadata||Metadata is the term used to describe summary information or characteristics of a set of data (i.e. the what, who, when, how, and where of the data)|
|BERR||Department for Business, Enterprise and Regulatory Reform (Note this is now the Department for Business, Energy and Industrial Strategy - BEIS)|
|CHP||Combined Heat and Power|
|DDC||Dedicated Data Centre (NERC)|
|DfT||Department for Transport (UK)|
|DOE||Department of Energy (US)|
|DTI||Department of Trade and Industry (UK)|
|DUKES||Digest of United Kingdom Energy Statistics (published annually by BERR - previously DTI)|
|EPSRC||Engineering and Physical Sciences Research Council|
|ESDS||Economic & Social Data Service|
|ESRC||Economic & Social Research Council|
|GIS||Geographic Information System|
|IEA||International Energy Agency|
|MARKAL||MARKet AL dynamic optimization model|
|MLSOA||Middle Layer Super Output Area|
|NERC||Natural Environment Research Council|
|NUTS||Nomenclature of Units for Territorial Statistics (NUTS). NUTS was created by the European Office for Statistics (Eurostat) as a single hierarchical classification of spatial units used for statistical production across the European Union. At the top of the hierarchy come the member states of the EU; below that are NUTS levels 1 to 5, which progress down the scale of administrative units.|
|O&M||Operations & Maintenance|
|OECD||Organisation for Economic Co-operation and Development|
|ONS||Office for National Statistics|
|SAP||Standard Assessment Procedure (specified by UK Government) for Energy Rating of Dwellings|
|SUPERGEN||Sustainable Power Generation and Supply (EPSRC managed programme)|
|TSEC||Towards A Sustainable Energy Economy|
|TSGB||Transport Statistics for Great Britain (published annually by DfT)|
For further detailed information about the UKERC Energy Data Centre please email Jim Halliday, Head of the Energy Research Unit, Science and Technology Facilities Council at EDCManager@stfc.ac.uk