Unveiling the citation functionality: Tools and guidelines to cite open data
Discovering tools and training to effectively cite data, enhancing research quality and impact
Data citation is crucial in the scientific research process, providing proper acknowledgment of sources and facilitating easier identification and reproduction of research results. By citing data, researchers can track the impact of data, promote its discoverability, and reward data creators. Though citing data is not a new practice, using persistent identifiers has gained importance due to the increased need to track citations and understand their impact.
To support researchers in effectively citing data, data.europa.eu offers a comprehensive guide on data citation: Data Citation: A Guide to Best Practice. This study, based on a practical guide, includes helpful annexes such as checklists, diagrams, recommendations, and best practices. Additionally, data.europa.eu provides a data citation training, which focuses on both how to cite data and how to make data more suitable for citation.
Our portal also features robust documentation on data citation. In the documentation section, users will find detailed explanations, checklists, and examples of compliant citation formats. Moreover, data.europa.eu simplifies the citation process with a dedicated citation button available on each dataset's web page. Located above the dataset title on the right, the button allows users to select from various citation styles—EU Data Citation, APA, Harvard, and Vancouver—and easily copy the citation to the clipboard.
In conclusion, data.europa.eu not only highlights the importance of data citation but also provides practical tools and training to ensure researchers can cite data effectively. By using these resources, researchers can improve the quality and interoperability of their data and metadata. Stay tuned for more updates on our portal’s functionalities and explore the full potential of data.europa.eu to enhance your research practices.
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