Data not only want to be free, but cited. Scholarly articles include a rich array of data, from named entities to entire subarticle elements that can be discovered and extracted in Text and Data mining. To make them available for discovery, reuseable and citable, they need to be deposited in a repository, semantically enhanced and provided with a persistent identifiers and link to the source document. A single upload of data from a scholarly article becomes quickly a complex task that is too time consuming for human upload. Plazi developed such a workflow that included over 200,000 deposits in CERN’s repository Zenodo. Plazi and Zenodo will demonstrate in the hands-on how this upload operates. Based on a real example, the upload procedure will be described, the API explained and the resulting output, the enhanced article and the related images with all the embedded links shown.