The Digital transformation is rapidly expanding the variety of methods and processes used to generate, process and disseminate data. As more and more decisions are based on digital data, questions regarding their origin and quality become increasingly important. Ensuring the quality of research is an essential part of good scientific practice and, in turn, safeguards scientific integrity.

In a position paper published in 2019, the German Council for Scientific Information Infrastructures (RfII) recommends establishing the documentation of research data as a core methodological task within research practice. The RfII calls on universities and research organizations to incorporate data quality assurance and improvement into their respective research strategies. Additionally, research funding bodies can create incentives and allocate time for this purpose (RfII, 2019, p. 172).