To further strengthen its digital presence, the Technical University of Munich is progressively integrating Structured Data based on international standards such as schema.org into web pages managed by the TYPO3 team. These structured annotations help search engines and digital systems accurately interpret TUM content, including people, organisational units, events, and scientific publications.

By using JSON‑LD, the format recommended by Google, the structured data can be added cleanly and independently of the visible layout. This leads to improved visibility in search results and increases the likelihood of rich results, such as enhanced displays of researcher profiles or upcoming events. At the same time, modern AI‑driven search and assistance systems can better recognise and classify TUM’s digital information.

Within TUM’s system landscape, JSON‑LD offers additional advantages:

• Data from TUMonline and TUMFIS—including organisational structures, chairs, staff profiles, and publications—can be provided in a standardised and consistent manner.
• Research information becomes easier to link with external platforms, thanks to adherence to internationally recognised metadata standards.
• Editorial maintenance remains efficient since JSON‑LD is embedded separately from the visual layout and remains stable during design or template updates.

Furthermore, Structured Data improves accessibility on TUM websites. Assistive technologies can interpret content more precisely when it is semantically structured, providing a better user experience for all visitors.

By enhancing the use of Structured Data and JSON‑LD, TUM is investing in a future‑proof digital foundation that combines technical robustness, editorial efficiency, and significantly improved online visibility.

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