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A metadata model for data goods

: Spiekermann, Markus; Tebernum, Daniel; Wenzel, Sven; Otto, Boris

Drews, P. ; Leuphana Univ. Lüneburg:
Multikonferenz Wirtschaftsinformatik 2018. Bd.1 : Data driven X - Turning Data into Value; Leuphana Universität Lüneburg, 6.-9. März 2018
Lüneburg: Leuphana Universität, 2018
ISBN: 978-3-935786-72-0
Multikonferenz Wirtschaftsinformatik (MKWI) <2018, Lüneburg>
Fraunhofer ISST ()
data management; metadata model; data goods; Data Economy

Digital transformation implies the development of data-driven business models and thus the management of data goods. While marketplaces for data are being established and platforms for the exchange of data are being created, companies have to adapt their data management to the increasing requirements. One central question can be deduced: How can data goods be described in a standardized way? This paper describes the development of the metadata model for data goods M4DG. The M4DG, based on an analysis of existing data marketplaces and metadata models of related topics, makes it possible to describe data sources with defined properties. This creates a unified understanding of the properties of data goods to facilitate selection and trading. We are convinced that the M4DG will contribute to the practical design of data management.