Within the framework of the European project DEMETER, since September 2019 a total of 60 project partners have been working on solutions for easy data exchange in the context of digitalization in agriculture. The aim of the project is the establishment of an interoperable, data-driven, innovative, and sustainable European agri-food sector. The project, which is funded under the EU’s “Horizon 2020” program, focuses on the interoperability and comparability of data-based services.
In this project, Fraunhofer IESE is developing and testing which standards and methods can be used to assess data quality as uniformly, consistently, and automatically as possible. Only with the appropriate data quality can meaningfulness and accuracy – for example for forecasts – be guaranteed. Information on data quality can then be used by methods at the decision level to apply alternative strategies for assessing the data, if necessary. Our researchers are developing a service for automated quality assessment for this purpose.