Open data
Open data is a concept that allows machine readable data to be freely used, reused and distributed by anyone. The data can be accessed at any time without mandatory registration, special technical prerequisites or justification. These data are offered free of charge for unrestricted reuse. Open data cannot contain personal data nor be subject to data protection. Typical examples of open data are environmental and weather data, geo-data, traffic data, budget data, statistics, publications, records, laws, judgments and regulations.
Traditional use cases for open data aim to process data to present them in a form that can be consumed by end users. Applications that display information about road conditions, water quality or the locations of certain service providers such as day-care centers are examples. Use cases for open data do however exist in real industrial scenarios as well, for instance in supply chain management or smart urban mobility. Using open data can directly influence system performance.
Furthermore, data are generated in each of these use cases. The publication of these data in turn is advantageous for the International Data Spaces because open data is not only a use case for companies to integrate into their business processes. It also offers straightforward access for the exchange of data within the International Data Spaces. Open data therefore acts as an amplifier to encourage companies to exchange their data through the International Data Spaces architecture.