Science and Research Content

Elsevier implements FORCE11 Joint Declaration of Data Citation Principles to encourage and reward authors for sharing research data -

STM publisher Elsevier has implemented the FORCE11 Joint Declaration of Data Citation Principles for over 1800 journals. This means that authors publishing with Elsevier are now able to cite the research data underlying their article, contributing to attribution and encouraging research data sharing with research articles.

The FORCE11 data citation principles were launched in 2014 with the aim to make research data an integral part of the scholarly record. The principles recognised that a critical driver for increasing the availability of research data was to ensure authors receive credit for sharing through proper citation of research data. Elsevier was involved in drafting these principles and, along with many other publishers, data repositories and research institutions, endorsed them as an industry standard. Now, after working closely with other publishers within the Data Citation Implementation Pilot, Elsevier has incorporated them in its production and publication workflow in order to recognise and process data citations. Combined with new author guidance and education, this will encourage and reward researchers for sharing their research data.

Data citation provides a persistent and consistent way to link an article to a dataset. Authors can cite the data they generated for their research to ensure easy access to their data, or they can cite existing datasets they used in their research, thereby providing an indication of reuse. For readers, articles with data citations provide a more complete picture of the research that was carried out.

As with article references, the dataset will be cited at the relevant place within the text of the article and will appear in the reference list. The data citations will look the same as other citations but will also contain new elements, such as the repository where the dataset is stored. In most cases, there will be a direct link to the stored dataset, making it even easier for authors to find relevant datasets.

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