Dataset Citation Generator
Create dataset citations with DOI lookup or manual details. Starts in APA 7. First 3 sources free. Verify the version, creators and repository.
Add a dataset
Start with a link or identifier. We’ll find the details for you to review.
Saved in this browser. Edits, style changes, copies and exports don’t use another free citation.
Cite from real papers in AnswerThis
Find papers and develop your writing with linked sources. Review the evidence behind each claim. Opens in a new tab; references saved here stay in this browser. Copy or export before continuing.
How to cite a dataset
Credit the dataset creators, title, release date, version and repository. Prefer the DOI of the specific version you analyzed to a general project URL. DataCite can supply DOI metadata, but check the version and repository details before using the reference.
Citation software formats the information supplied to it; it cannot confirm that every field is complete or that a source is suitable for your work. Compare the output with the original source and the current instructions you must follow.
Use the selected source and style together
Start from the repository record for the release you analyzed. A dataset DOI can return Crossref or DataCite metadata, but the creator list, version, release date and repository still need review. This page starts in APA 7 with Dataset selected. It documents the data source; it does not inspect the downloaded files or verify your analysis.
For the shared lookup and formatting walkthrough, see the citation generator guide. Keep this page’s edition and source-specific checks beside your output as you review it.
What to check
- Citing the project homepage instead of the analyzed version
- Omitting the repository or version when available
Which fields identify this dataset?
A reproducible data reference identifies a particular release, not merely the project that produces it. Record creators, dataset title, release date, version, repository and the relevant identifier. A project-wide DOI can refer to a changing collection while a version DOI identifies a specific release. Compare the record with your analysis notes before choosing. If the generic form does not express a repository’s recommended citation detail, preserve that detail for manual review rather than deleting it.
Worked dataset walkthrough
For a repository release labelled version 2, look up its version DOI and compare the returned title and creator list with that release page. Check whether the date belongs to version 2 or an earlier project launch. Retain the repository name and version in the appropriate supported fields, then inspect the formatted reference. This walkthrough shows what to compare when metadata is incomplete; it does not substitute a fabricated dataset DOI or a guessed release date.
Before using your dataset reference
A data paper and its underlying dataset can have different identifiers and creators. Cite the object your analysis actually used, and add the paper separately when you discuss its methods or findings. Preserve enough version information for another researcher to locate the same release. Citation does not settle data-use permissions or confirm that a repository record matches every file in your local copy; compare your retained download notes before submission.
Metadata and formatting
DOIs use Crossref, with DataCite when Crossref has no record; PMIDs use NCBI PubMed and ISBNs use Open Library. Public URLs use page metadata; YouTube oEmbed supplies title and channel, but no upload date. Pinned CSL styles format the records. No AI generates citation details, and PDFs are not uploaded or read here.
Frequently asked questions
Can a dataset DOI be looked up?
Yes. DOI lookup can retrieve DataCite metadata, but you must verify creators, version, date and repository.
Why does dataset version matter?
A dataset can change. Cite the specific release used so another researcher can identify the same data.
Which citation style does this dataset page use?
It starts in APA 7. Select the exact edition and system your assignment or publisher requires before generating. The source type and the style are separate choices: identifying the work correctly supplies the fields, while the selected CSL file controls the reference and short citation. Use older APA or MLA editions only when explicitly required.
Can I enter dataset details manually?
Yes. Start from the repository record for the release you analyzed. A dataset DOI can return Crossref or DataCite metadata, but the creator list, version, release date and repository still need review. This page starts in APA 7 with Dataset selected. It documents the data source; it does not inspect the downloaded files or verify your analysis. If lookup cannot supply a field, inspect the original record and enter what you can verify. Leave unavailable information blank instead of creating a complete-looking reference from guesses.
How do I cite an organization as the dataset creator?
Enter the organization as a group author in braces, such as {World Health Organization}. This keeps it as one creator rather than splitting the words into a personal name. First confirm that the organization actually created the work: a repository, platform or publisher is not automatically the author. Preserve any credited personal authors in their published order.
What if the dataset has missing or conflicting dates?
Check the original publication or repository record and identify what event each date describes. Use the release you analyzed rather than the project’s first publication date. Leave an unknown date blank and review the selected style’s missing-date output rather than guessing a year.
Can I export the dataset citation for free?
The first 3 sources are free per browser, shared across citation pages. Copy the formatted entry or export saved references as BibTeX or RIS for a compatible reference manager. Check imported fields and document formatting after transfer. Download a copy before leaving; browser storage can be removed, and signing up for AnswerThis does not automatically move the saved references into a project.