Social Science Data Resources
Social Sciences Librarian
Social Sciences Librarian
How to Cite Datasets?
Proper citation of datasets is a critical component of scholarly research. Just as you cite books and journal articles, you must cite the data sources you use in your research. This section explains why dataset citation matters for research integrity and reproducibility, and provides the standard citation format recommended by DataCite, the leading international organization for data citation standards. Follow these guidelines to ensure your data sources are properly credited and can be located by other researchers.
Why Cite Datasets?
Citing datasets is essential for scholarly integrity and research advancement. Proper dataset citation:
- Gives credit to data creators and acknowledges their intellectual contribution
- Enables other researchers to locate and access the exact data you used
- Supports reproducibility by providing precise references to data sources
- Tracks data usage and demonstrates research impact
- Facilitates data sharing and collaboration across the research community
DataCite Citation Format: The most widely accepted format for citing datasets follows this structure:
- Basic format: Creator (PublicationYear). Title. Publisher. Identifier
- Enhanced format (when available): Creator (PublicationYear). Title. Version. Publisher. ResourceType. Identifier
Citing datasets and statistics
Need help formatting a dataset citation? These resources provide practical tools and detailed guidance for citing data sources in your research papers, theses, and presentations. Whether you need to generate a citation in a specific style (APA, MLA, Chicago), understand discipline-specific citation practices, or find the recommended citation for a particular dataset, these tools and guides will help you create accurate, complete citations that meet scholarly standards and publisher requirements.
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Citing datasets from ICPSRICPSR provides detailed citation guidance and examples for all datasets in its collection. Each dataset's landing page includes a recommended citation that follows best practices. Use ICPSR's citation guide to properly credit data creators and ensure others can locate the specific dataset version you used in your research.
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DOI Citation FormatterAutomatically generate properly formatted citations for datasets with Digital Object Identifiers (DOIs). Enter a dataset's DOI to instantly create citations in over 500 different citation styles (APA, MLA, Chicago, etc.) and 45 languages. This tool ensures accuracy and saves time when preparing reference lists.
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How to Cite Data: General Info (MSU)Michigan State University's comprehensive guide covers the fundamentals of data citation across disciplines. Topics include why to cite data, what elements to include in citations, where to find citation information, and examples across various data types. An excellent resource for understanding data citation principles.
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Quick Guide to Data Citation (IASSIST)IASSIST (International Association for Social Science Information Service and Technology) provides concise, practical guidance for citing datasets and data files. This quick reference includes essential citation elements, common citation styles for data, and tips for citing data in different contexts (publications, presentations, data management plans).