The contribution reports on a practical solution for implementing research data management (RDM) that meets the requirements of the now-completed, European-Saxon collaborative project AMTwin. AMTwin aimed to develop a digital twin for additively manufactured components. Specifically, computational models were developed for the material behaviour of titanium parts made from Ti6Al4V and for process stability during their production using selective laser melting (SLM). Since the modelling was data-driven, a practical RDM was essential for smooth data exchange and ultimately for the success of the project. Data exchange within the interdisciplinary collaborative project took place across laboratories along the investigated process chain, from raw material characterisation, through the forming process, microstructure analysis, testing of mechanical component properties, to data analysis and the development of simulation models. The article first demonstrates that compliance with the FAIR principles is not just an ideal, but a technical prerequisite for data exchange and integration. The FAIR principles were implemented, among other things, by introducing a domain-specific ontology together with a synonym dictionary, to take into account the domain specifics of the participating partners when generating a complete dataset for the process chain under consideration. The article summarises the necessary developments both within the individual domains and within the project consortium in order to achieve overarching RDM. This includes, among other things, ID management of the created test specimens. The complete dataset created was then subjected to extensive analyses in order to gain insights into the manufacturing process and material behaviour on the one hand, and to support model development on the other. It is shown how cross-process chain data analyses can be carried out directly from the RDM. Usually, results from research projects are published. In AMTwin, this included, in addition to the publication of new findings in materials science and production technology as well as on numerical methods, the complete dataset generated in the collaborative project. It is illustrated how the dataset from the RDM can be directly transferred to an open-access publication. Finally, the article draws a conclusion on the usability achieved by the developed solution and outlines priorities for further development.