The management of digital research data is an important field of research that has emerged in the course of digitalisation. For sustainable research data management (RDM), researchers and other target groups require not only knowledge and skills in their subject area but also additional competencies in handling digital data. Ideally, this knowledge should already be taught during the degree programme. There is also an increasing demand for personnel in research-related areas, such as data stewards, which can only be met through suitable training and further education programmes. The learning objectives matrix brings together relevant teaching content and learning objectives on research data management for the target groups of Bachelor's and Master's students, early career researchers (doctoral students/postdocs) and data stewards. It serves as a guide for subsequent users to identify relevant content and as a working basis for subject-specific or event-specific further development. Version 3 of the learning objectives matrix for research data management was created on the basis of input and feedback from the German-speaking RDM community, in particular the results of the community event on the learning objectives matrix (31 January to 1 February 2024 in Darmstadt). Participants were invited to contribute further, which resulted in the editorial team being expanded to include additional committed contributors. In addition to content revisions and additions, new elements such as unique IDs, a glossary and an overview of practical examples have been added. The separation of the learning objectives elements into separate fields and greater standardisation of the wording are intended to promote machine readability and reuse in general. The results of the work from the community event and the subsequent editorial work were released to the NFDI section EduTrain for review prior to publication and comments were again incorporated into the documents by the editorial team. In addition to the actual matrix LOM-RDM_V3_eng.xlsx or LOM-RDM_V3_eng.ods (the learning objectives worksheet is also available as LOM-RDM_Worksheet-learning_objectives_V3_eng.csv), the third version of the learning objectives matrix contains a detailed README file README_LOM-RDM_V3_eng.pdf, an overview of examples in Practical_examples_LOM-RDM_V3_eng.xlsx, a glossary for the learning objectives matrix in Glossary_LOM-RDM_V3_eng.pdf and a workshop report on the creation of the glossary in Workshop_report-Glossary_LOM-RDM_V3_eng.pdf. To promote the reuse and adaptation of the learning objectives matrix further, a Git repository has been set up. In it, you can find the learning objectives matrix files and a conversion of the glossary as a Simple Knowledge Organisation System (SKOS): https://github.com/dini-ag-kim/fdm-lernziele. Forschungsdaten.org provides an overview of the learning objectives matrix and adaptations of the matrix: https://www.forschungsdaten.org/index.php/Lernzielmatrix. After the German-language version 3 of the learning objectives matrix was published in March 2025, work began on translating this English-language version. Members of the Sub-Working Group on Training and Further Education of the DINI/nestor Working Group on Research Data carried out the translation.