Due to industrial action by the University and College Union on Wednesday 25 and Thursday 26 May there may be a delay in responding to queries on these dates.
TERMS & CONDITIONS
Users of our data must acknowledge and cite data sources correctly in all publications and outputs.
Data are a vital part of the scientific research process and proper citation should be a significant feature of research publications.
- acknowledges the author's sources
- makes identifying data easier
- promotes the reproduction of research results
- makes it easier to find data
- allows the impact of data to be tracked
- provides a structure which recognises and can reward data creators
Any publication, whether printed, electronic or broadcast, based wholly or in part on the data collections provided by the UK Data Service must be accompanied by the correct citation and acknowledgement information. In addition, ESRC award holders are expected to cite their data to encourage and facilitate data sharing under the terms of the ESRC Research Data Policy.
Details of the citation and acknowledgement that should be used are set out in the 'Study information and citation' file, available for every dataset from the online documentation table via the relevant catalogue record within the data catalogue: Discover.
A citation should include enough information so that the exact version of the data being cited can be located, but does not include information on the sponsor or copyright. A Digital Object Identifier (DOI) is included in the citation. This ensures that even if the location of the data changes, the DOI will always link to the data that were used. Each dataset used must have a separate citation.
An example of the recommended format for citations:
University of Essex. Institute for Social and Economic Research and National Centre for Social Research, Understanding Society: Wave 1, 2009-2010 [computer file]. 2nd Edition. Colchester, Essex: UK Data Archive [distributor], November 2011. SN: 6614, http://dx.doi.org/10.5255/UKDA-SN-6614-2
and for international macrodata
International Monetary Fund (2013): Direction of Trade Statistics (Edition: Feb 2013). Mimas, University of Manchester. DOI: http://dx.doi.org/10.5257/imf/dots/2013-02
Information on how to cite census data is available from the UK Data Service Census Support Citing data.
Any acknowledgement, which is a general statement giving credit to sponsors or distributors, should not be a replacement for a proper citation.
For more information about the importance of data citation and the role of DOIs, see the ESRC data citation web page. A brochure Data Citation: what you need to know has been produced in collaboration with the ESRC.