Citing Data
It's important to cite data right. Proper citation ensures that research data can be:
- discovered
- reused
- replicated for verification
- credited for recognition
- tracked to measure usage and impact
How to Cite Data
Citing data is straightforward. Each citation must include the basic elements that allow a unique dataset to be identified over time:
- Author
- Title
- Distributor
- Date
- Version
- Persistent identifier (such as the Digital Object Identifier, Uniform Resource Name URN, or Handle System)
Here are some examples:
Barnes, Samuel H. Italian Mass Election Survey, 1968. Inter-university Consortium for Political and Social Research [distributor], 1992-02-16. https://doi.org/10.3886/ICPSR07953.v1
Schneider, Barbara, and Waite, Linda J. The 500 Family Study [1998-2000: United States]. Inter-university Consortium for Political and Social Research [distributor], 2008-06-03. https://doi.org/10.3886/ICPSR04549.v1
Federal Judicial Center. Judicial District Data Book, 1983: [United States]. Inter-university Consortium for Political and Social Research [distributor], 2006-01-18. https://doi.org/10.3886/ICPSR08439.v1
Where do I find the citation?
Citations for ICPSR data can be found in the following locations:
- Study descriptions that appear on the website
- File manifest
- PDF study description file
Both the file manifest and the PDF study description file are automatically included with every download. Thus, every download is accompanied by a copy of the standard citation that can be copied and pasted with ease.
How can I let ICPSR know about my publication?
Users of ICPSR data are required to send us bibliographic citations for each completed manuscript or thesis abstract. This allows us to provide funding agencies with essential information about use of archival resources and facilitates the exchange of information about the research activities of principal investigators.
Email bibliography@icpsr.umich.edu to submit citations for inclusion in our Bibliography.
Related Resources
- CODATA Citation Standards and Practices Task Group
- IASSIST Quick Guide to Data Citation
- DataCite
- A Proposed Standard for the Scholarly Citation of Quantitative Data (2007)
- For Attribution: Developing Data Attribution and Citation Practices and Standards (2012)
- Out of Cite Out Of Mind: The Current State of Practice, Policy, and Technology for the Citation of Data (2013)
- The Evolution of DataCitation: From Principlesto Implementation (2013)
- FORCE11 Joint Declaration of Data Citation Principles (2014)
- A Data Citation Roadmap for Scholarly Data Repositories (2016)