Research Data Management: Data Citation

Data citation means references to data, in the same way researchers routinely provide a bibliographic reference to other scholarly resources. Although data are often shared, they are not always cited the same way as journal articles or other publications. Data citation is important because it facilitates access, transparency and reproducibility, reuse, credit for researchers and visibility for the repositories that share data.” (Source DataCite) 

Components of a data citation 

“Citing data is very similar to citing publications; there are many “correct” formats to use, but we suggest including the following important information: 

• creator(s) or contributor(s) 

• date of publication 

• title of dataset 

• publisher 

• identifier (e.g. Handle, ARK, DOI) or URL of source 

• version, when appropriate 

• date accessed, when appropriate 

(Source: Cornell Data Services. See their page for more information and examples of data citation styles)