| This paper aims to address the fragmentation of tourism data distributed across organizational, technological, and institutional domains. Although significant amounts of tourism-related data are continuously being produced, heterogeneity and lack of interoperability remain significant barriers to effective data sharing and governance. To address this problem, this paper suggests a data space-driven approach for effective data sharing in a federated, sovereign, and interoperable manner without centralization. The suggested approach includes data sovereignty, semantic interoperability, federated access, and visualizations of data as its key components. Rather than using complex AI models, this approach suggests using visual transparency for effective data interpretation for tourism flows. The main novelty of this paper is the suggested integrated framework using data spaces and visual explainability for effective tourism governance. |
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