Broad, long-term financial and economic datasets are a scarce resource, in particular in the European context. In this paper, we present an approach for an extensible, i.e. adaptable to future changes in technologies and sources, data model that may constitute a basis for digitized and structured longterm, historical datasets. The data model covers specific peculiarities of historical financial and economic data and is flexible enough to reach out for data of different types (quantitative as well as qualitative) from different historical sources, hence achieving extensibility. Furthermore, based on historical German company and stock market data, we discuss a relational implementation of this approach.
Classification codes: C81, C82Acknowledgments: We are thankful to Wolfgang König and Johan Poukens who provided valuable comments on an earlier version of this paper. We are grateful for financial support to the Eurhisfirm consortium which is funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 777489. The paper reflects only the author's view. The EU Commission is not responsible for any use that may be made of the information it contains.