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Data description and annotation is the process of explaining, contextualizing, and documenting data to make it easier for others to understand and use for secondary analysis or replication. It can be done in a number of ways, from formal metadata schemas to simple documentation. This guide from the DataCite project provides an overview of the different techniques for describing and annotating data. It explains the benefits of these approaches and how to implement them in your own work. In addition, it provides links to further resources for further reading and learning. In this way, it is a valuable tool for any researcher.