How to Cite a Dataset in ACM (current)
Learn how to cite a dataset or database in ACM format (current). This guide includes the reference list format, in-text citation examples, and key formatting rules.
ACM Reference List Format
Here is the standard ACM format for citing a dataset in your reference list:
ACM Example for a Dataset
A complete ACM reference for a dataset, formatted by the official ACM CSL style definition — the same engine that powers the generator on this site:
[1] Luca Ferrari. 2023. Global reading habits survey, 2015-2022. https://doi.org/10.1000/oda.2023.771
Matching in-text citation: [1]
Step-by-Step Guide
- Gather source information: Collect the author name, title, publication date, and URL or DOI for your dataset.
- Format the reference: Arrange the elements following the ACM (current) template shown above.
- Create the in-text citation: Add a parenthetical or narrative citation in your paper where you reference this source.
- Add to your reference list: Include the full formatted citation at the end of your paper.
- Double-check formatting: Verify italics, punctuation, capitalization, and hanging indents match ACM requirements.
Evidence and review notes
Worked examples are generated by citeproc from the published CSL definition, not written by a language model.
CSL style record: acm.csl
Frequently Asked Questions
- How do I cite a dataset in ACM?
- To cite a dataset in ACM (current), include the author, title, date, and source location. Use our free citation generator for automatic formatting.
- What is the ACM format for a dataset citation?
- The ACM format for a dataset is: [1] Luca Ferrari. 2023. Global reading habits survey, 2015-2022. https://doi.org/10.1000/oda.2023.771
- What does the in-text citation look like for a dataset in ACM?
- In ACM, the in-text citation for the example above is [1]
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