About.

The digital transformation in science opens up new possibilities for storing and using information and creates new forms of gaining knowledge. At the same time, new digital possibilities are leading to an ever-increasing amount of research data. However, in order to make the best possible use of the potential of this data in both scientific and non-scientific contexts, there are high demands on the quality of the data. Quality assurance measures in the handling of research data and their curation - i.e. the preparation, management and storage of research data - have not always been the focus of scientific work to date and have thus become central challenges in research.

In the BMBF funding measure "Development and testing of curation criteria and quality standards for research data in the course of the digital transformation in the German science system" and with the joint project "Domain Data Protocols for Empirical Educational Research", research groups and networks at universities and non-university research institutions are therefore to be supported with regard to research data management. For this purpose, so-called Domain Data Protocols (DDPs) for the handling of research data for different, relevant survey methods of empirical educational research as well as guidelines for cost calculation for the curation of research data will be developed. The DDPs are intended to serve as public and referenceable sample standard protocols to help researchers in the field of empirical educational research to produce quality-assured and re-usable data. To this end, the protocols are geared to the specific conditions of the survey methods that are relevant in empirical educational research (e.g. cross-sectional and longitudinal surveys, performance indicators, different survey modes, qualitative surveys). The respective research processes with their methodological, organisational and technical peculiarities as well as the specific conditions of data collection, sharing and re-use are taken into account. In addition, the DDPs developed are used to determine guideline values for estimating the costs of curating research data depending on the type and size of the survey or research project.

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