Figure 2.
Schema development workflow. We first conduct requirement analyses as
                        interviews with experts to have a valid foundation for our work. Then, we
                        revise the results and structure the data using user stories (knowledge
                        acquisition). The obtained information is transformed into metadata items
                        and attributes (conceptualisation). In this phase, we additionally integrate
                        reusable ontologies in order to enable interoperability. During the last
                        development step, we serialise the components using RDF(S) and we define
                        SHACL expressions for validation purposes (implementation). The resulting
                        schema is then evaluated in the final step.

Schema development workflow. We first conduct requirement analyses as interviews with experts to have a valid foundation for our work. Then, we revise the results and structure the data using user stories (knowledge acquisition). The obtained information is transformed into metadata items and attributes (conceptualisation). In this phase, we additionally integrate reusable ontologies in order to enable interoperability. During the last development step, we serialise the components using RDF(S) and we define SHACL expressions for validation purposes (implementation). The resulting schema is then evaluated in the final step.

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