Learning objective matrix on the topic of research data management (RDM) for the target groups students, PhDs and data steward Edit

The management of digital research data is an important new field of research that has emerged in the process of digitalization. For sustainable research data management (RDM), scientists need not only knowledge and skills in their research area, but also additional competencies in dealing with digital data. Ideally, this knowledge should already be taught during studies. In addition, there is an increasing demand for research support staff, e.g. in the form of data stewards, which can only be met through appropriate training and continuing education measures.

This learning objective matrix summarizes relevant teaching contents and associated learning objectives for the qualification levels Bachelor, Master, PhD and Data Steward from a number of national and international projects and training concepts in the field of RDM in a consistent form and offers subsequent users an orientation for identifying relevant content aspects as well as a working basis, e.g. for an extended subject-specific or event-specific design.

Source

@misc{petersen_lernzielmatrix_2023,
	title = {Lernzielmatrix zum {Themenbereich} {Forschungsdatenmanagement} ({FDM}) für die {Zielgruppen} {Studierende}, {PhDs} und {Data} {Stewards}},
	copyright = {CC BY-4.0},
	url = {https://doi.org/10.5281/zenodo.8010617},
	urldate = {2023-12-07},
	publisher = {Zenodo},
	author = {Petersen, Britta and Engelhardt, Claudia and Hörner, Tanja and Jacob, Juliane and Kvetnaya, Tatiana and Mühlichen, Andreas and Schranzhofer, Hermann and Schulz, Sandra and Slowig, Benjamin and Trautwein-Bruns, Ute and Voigt, Anne and Wiljes, Cord},
	year = {2023},
	doi = {10.5281/zenodo.8010617},
	note = {Version Number: 2},
}