Reference management software helps you keep track of your citations as you work and partially automates the process of constructing bibliographies when it is time to publish.
The Research and Scholarly Publications Team help and encourage researchers to share and register data, and make it more stable and easier to cite by obtaining a Digital Object Identifier (DOI). Please ask for further guidance by contacting the Team.
A Proposed Standard for the Scholarly Citation of Quantitative Data, by Dr. Micha Altman and Prof. David Florence (2007) proposes the need for a universal standard for citing quantitative data and provides some examples citations.
The How to Cite Data page by The Michigan State University Libraries provides helpful guidelines for multiple citation styles, including a tab that leads to guidance for citing data from statistical tables.
The guidelines for social science data from Massachusetts Institute of Technology's (MIT) Social Science Data Services may give you a good general sense of what you will need to include in most data citations:
Many online repositories or data centres provide guidelines on how to cite the data that they maintain and provide. These vary dramatically in detail and visibility.
For example, census.ac.uk, which provides specific types of data sets, often repeating over time, provides thorough guidelines on citing each electronic release of census data and related studies. The UK Data Archive, which houses a wider variety of data sets, includes general data citation advice in an FAQ (How do I acknowledge and cite data?), and includes the specific citation information for each data set when you download it.
If you can't find it, you should always feel free to email or call the staff who run the site for advice on citing their data (or any other sort of material in the repository).
Research & Scholarly Publications
FL320, Lanchester Library
Frederick Lanchester Building
Coventry, United Kingdom
Telephone: 024 7765 7568
Open Access and Institutional Repository - firstname.lastname@example.org
Research Data Management - email@example.com