When you’re writing a journal article, you need to make sure that you properly cite any data you’ve used, whether it’s your own dataset or someone else’s.
Taylor & Francis supports the Force 11 Joint Declaration of Citation Principles which recognize data as important, citable products of research, and that data citations should be both understandable by humans and machine-readable (i.e. can be read and processed by a computer).
Citing data is important because it:
Makes sure you give credit to the individual or group who generated the data.
Helps the reader identify and find the data.
Promotes data reproducibility, enabling others to replicate and verify research results.
Facilitates collaboration for researchers to reuse and build on research findings.
Helps track the impact and reuse of datasets.
Increases the discoverability of your research by enabling anyone reading the article to locate the dataset.
Read our guide to citing data to find out what to include in data citations.