Track description

The added value of companies is already today decisively dependent on the quality of data and the efficiency of their planning, processing, management and control. Triggered by digitization and the Internet of Things, data is also becoming a core component of business models or new services ("Data-as-a-Service"). Data is increasingly being monetized directly, and new types of data ecosystems are emerging in this way. The recently published data strategies of the German Federal Government and the European Commission underline the importance that data is attributed to the future competitiveness of companies and social prosperity.

Data management encompasses all activities that are necessary to manage data in companies and value networks. This includes in particular organizational tasks and data governance as well as data/information modeling and architectures. Digitization and the Internet of Things have given rise to a wide range of research needs: Data management approaches need to be extended to new data classes, especially unstructured data, and data storage for heterogeneous data. In addition, data ecosystems require data sharing while at the same time ensuring the data sovereignty of the data provider and the protection of the data recipient's trust. There is also a need for research on the institutional, organizational and technical design of data infrastructures that allow for the linking of internal with external and open databases ("open data").