Big data applications, the Internet of Things, and the development of innovative technologies open up new paths. Yet, this creates immense and, in many ways, heterogenous amounts of data that are at the basis for the interdisciplinary key discipline of data science. With the application of leading-edge data science techniques, even complex and high-dimensional data can create value and, thus, a disproportional increase in knowledge production. At its basis is an intelligent research data management with an open-data culture. The goal is to systematically establish, sustainably secure, and make accessible databases from science and research as well as connecting them (inter)nationally.
Research data, digitalization, and data science are focus areas of the members of the U Bremen Research Alliance. Evidence for this development are, for example, the Leibniz ScienceCampus Bremen DigitalPublicHealth, the start of the Data Science Center at the University of Bremen, the establishment of an interdisciplinary and interorganizational doctoral training called ‘Data Train – Training in Research Data Management and Data Science,’ and the active participation of the alliance’s members in four of the nine initiatives chosen in June 2020 for the establishment of a German National Research Data Infrastructure (NFDI).
In order to enhance collective, future-oriented research efforts, the alliance collaborates in seeking to create a space for innovation, infrastructure, and research that is meant to function as a best-practice model nationwide.