Citation

Why and when to cite

We believe that you should cite data in just the same way that you can cite other sources of information, such as articles and books. Data citation can help by:

  • enabling easy reuse and verification of data
  • allowing the impact of data to be tracked
  • creating a scholarly structure that recognises and rewards data producer 

Advice on citation

The How to Cite Data page by The Michigan State University Libraries provides helpful guidelines for multiple citation styles and advises that a dataset citation includes all of the same components as any other citation:

  • author,
  • title,
  • year of publication,
  • publisher (for data this is often the archive where it is housed),
  • edition or version, and
  • access information (a URL or other persistent identifier).

Guidelines for social science data from Massachusetts Institute of Technology's (MIT) Social Science Data Services (30/9/2010)

Many online repositories or data centres provide guidelines on how to cite the data that they maintain and provide e.g. 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.

In February 2014 the Data Citation Synthesis Group released the Joint Declaration of Data Citation Principles.

Further Information

Research Data material:

RDM Principles

Data Planning Documents

DMP Documents - Small file

Poster (pdf pdf)

University of Leicester Research Data Management poster

Brochure (pdf pdf)

Copies: researchdata@le.ac.uk 

Blog Data For Research Blog

Glossary

A-Z

books

Input and feedback

2017 - This website will be relaunched in spring/summer 2017. Feedback and input is welcome, so please let the RDM project team know what type of content you would like to be included on the website by contacting us at researchdata@le.ac.uk.

RDM news and events
  1. The University has adopted a simple data classification model which must be applied by the PI and/or data owner
  2. We share our RDM survey: overview findings presentation as well as the results of our 2015 survey on Your research data management needs
  3. "Introduction to Information Governance" training is now available via "Embedding Informatics in Clinical Education" (EICE). The University is registered as an institution so you can register against this or ask for an account via IGT@le.ac.uk.
  4. There is now a University Information Governance web presence
  5. Our Data Management Planning documents have been updated - hard copies can be obtained if you contact researchdata@le.ac.uk
  6. Jisc has published a new RDM strategy document - "Directions for RDM Management in UK Universities"
  7. The Partridge Review - HSCIC Data Release Review - Full report (3.58 Mb) and Summary
  8. The Economic and Social Research Council (ESRC) have published a new Research data policy underpinned by nine core principles and Data management plan guidance (26/03/2015)
  9. RDM Principles approved by the University.
  10. DMPonline version 4.0 - DCC "DMPonline" (Data Management Planning) v4 has gone live. You can use this web based form to create your Data Management Plan, and share it with your collaborators.
  11. Research funder specific web pages (accessible via 'Data Planning & Management - What you need to do') for data planning and management guidance (AHRC, BBSRC, EPSRC, ESRC, MRC, NERC, and STFC)
  12. 'Data Planning & Management - what you need to' - a web page to take you through what you need to do about data planning and management.
  13. 'RDM - The Movie' is released! The 4 minute digital story of research data work here at Leicester.

... more News and Events

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