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Data Production

Research data management begins with data collection.

Systematic research data management must not only focus on archiving and access to data. It must also always take into account the process of data collection. In the social, behavioral, educational and economic sciences, the documentation and quality assurance of research data poses a particular challenge for various reasons. First, empirical research uses a very broad spectrum of data types, including both structured data, e.g., collected in surveys, and unstructured data, such as video, audio and text data. Secondly, the above mentioned sciences traditionally use data generated outside of science, such as administrative data or, more recently, observation, behavioral and tracking data. In the latter case, the methodological quality is less transparent, and often additional steps are needed to make the data useful for science. This task area therefore aims to further increase the quality of data production by establishing and continuously improving the RDM in the social, behavioral, educational and economic sciences.