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Semantic interpretation of dataless tables: A metadata-driven approach for Findable, Accessible, Interoperable and Reusable restricted access data - Vrije Universiteit Amsterdam

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T2 - A metadata-driven approach for Findable, Accessible, Interoperable and Reusable restricted access data AU - Martorana, Margherita PY - 2025/10/31 Y1 - 2025/10/31 N2 - The rapid expansion of digital information has transformed how data is shared and reused, driving innovation across science, policy, and industry. Yet many datasets contain confidential information that prevents them from being openly shared, making it essential to balance the protection of sensitive data with the need for scientific progress. This thesis investigates how restricted access tabular data - i.e. datasets that cannot be openly shared due to privacy, licensing, or ethical concerns - can be made more reusable and discoverable while remaining compliant with legal and ethical frameworks such as the General Data Protection Regulation (GDPR). Guided by the FAIR Principles (Findable, Accessible, Interoperable, Reusable), the work advances metadata-driven approaches that treat metadata not as a secondary by

Semantic interpretation of dataless tables: A metadata-driven approach for Findable, Accessible, Interoperable and Reusable restricted access data - Vrije Universiteit Amsterdam Skip to main navigation Skip to search Skip to main content Semantic interpretation of dataless tables: A metadata-driven approach for Findable, Accessible, Interoperable and Reusable restricted access data Margherita Martorana Computer Science Network Institute User-Centric Data Science (UCDS) Research output : PhD Thesis › PhD-Thesis - Research and graduation internal 96 Downloads (Pure) Abstract The rapid expansion

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