The Interface between Data Science, Research Assessment and Science Support - Highlights from the German Perspective and Examples from Heidelberg University

Assessment of research and acquisition of research information has become an integral part of university business. The motivation for obtaining such data can be ascribed to both internal and external demands. However, this raises questions about common standards and efforts for data capture, storage and provision. This paper aims at giving insight into some general framework conditions of data science and research assessment, along with the transfer of outcomes into the daily business of science support. Examples from Heidelberg University are presented.