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In this presentation, Adrian Dusa (University of Bucharest) discusses the DDIwR package as part of our webinar on FAIR researcher tools for documenting social science data. Please see the talk abstract below: In the research world, submitting a dataset to a public repository or data archive requires additional information about the data, most commonly using an XML structure as used by the Data Documentation Initiative. Not all researchers are equally trained or equipped with dedicated XML editing software to create this metadata file, and few are willing to invest a huge effort to document each variable from their research. The recent version of the command line R package DDIwR is a viable alternative that accomplishes two main things. First, it decreases the effort by more than 90%, importing the dataset and automatically retrieving the relevant variable level metadata. Second, it saves researchers from using XML directly, by providing a series of easy-to-use R commands that gradually build the XML file in a very intuitive way, and even performs a pre-validation check to ensure that all DDI elements are correctly specified.