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3     Gap Analysis on data flow standardization


            The need for interoperability among the wealth of available data providers, cloud and on premises,
            has led to the appearance of various initiatives. Among the most active ones are IDS, Gaia-X and
            FIWARE.



            3.1     International Data spaces: strategies and choices

            “Data spaces” is an initiative to enable the seamless exchange of information among independent
            data providers in a secure, self-sovereign and standardized way. As described in the purpose
            statement of data spaces (IDS RAM 4.0, 2023):


            “The international data spaces (ids) are virtual data spaces leveraging existing standards and
            technologies, as well as governance models well-accepted in the data economy, to facilitate secure
            and standardized data exchange and data linkage in a trusted business ecosystem. It thereby provides
            a basis for creating smart-service scenarios and facilitating innovative cross-company business
            processes, while at the same time guaranteeing data sovereignty for data owners.”


            A reference architecture has been proposed that provides guidance on the implementation of
            such a data space in accordance with the initiative’s goals and values. The reference architecture
            is defined in the business, functional, information, process and system layer, the latter is depicted
            in the figure below.



            Figure 2: IDS System Layer (IDS RAM, 2023)






































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