Technische Universität Wien

04/21/2026 | Press release | Archived content

Research data – we care to make it FAIR! – Part 2

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21. April 2026

Research data - we care to make it FAIR! - Part 2

Different types of research data entail different challenges for users. Six researchers share their experiences with research data and the implementation of the FAIR principles from a wide range of perspectives.

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© TU Wien / Livia Beck

From left: Sabine Sint, Adil Mukhtar, Paweł W. Woźniak, Markus Valtiner, Francesca Mangani, and Gabriel Wurzer

From left: Sabine Sint, Adil Mukhtar, Paweł W. Woźniak, Markus Valtiner, Francesca Mangani, and Gabriel Wurzer

From physics and mechanical engineering to architecture - both qualitative and quantitative research data are generated in almost all scientific disciplines. The FAIR principles ensure that research data is findable, accessible, interoperable, and reusable. In part two of the series "Research data - we care to make it FAIR!" (follow this link to part 1 of the series), we take a look at exactly these areas of application.

© TU Wien / Livia Beck

Sabine Sint

Sabine Sint

Building physics: Between construction plans and simulations

Sabine Sint from the Research Unit of Building Physics works at the interface between the planning, simulation, and operation of buildings. In this interview, she talks about the diverse data landscape in her field, building simulations and digital twins, and the importance of documentation for secure, sustainable data sharing.

Read more: https://www.tuwien.at/en/research/rti-support/research-data/news/news/between-construction-plans-and-simulations, opens an external URL in a new window

© TU Wien / Livia Beck

Markus Valtiner

Markus Valtiner

Interface physics: Surfaces meet automated data flows

Markus Valtiner is a physicist specialised in data-intensive experiments at interfaces. Imaging techniques such as atomic force microscopy (AFM) and spectroscopic methods such as X-ray photoelectron spectroscopy (XPS) produce large amounts of data that are processed and converted into open, machine-readable structures.

Read more: https://www.tuwien.at/en/research/rti-support/research-data/news/news/surfaces-meet-automated-data-flows, opens an external URL in a new window

© TU Wien / Livia Beck

Adil Mukhtar

Adil Mukhtar

Building technology: From black box to reproducible AI model

Adil Mukhtar demonstrates how AI is used in building sciences - and where its limitations lie. In the interview, he talks about training models for fault detection in building systems and the intricacies of simulation datasets and explainable AI methods. The conversation also touches on the contrasting research cultures in building physics and computer science and their significance for data sharing.

Read more: https://www.tuwien.at/en/research/rti-support/research-data/news/news/from-black-box-to-reproducible-ai-model, opens an external URL in a new window

© TU Wien / Livia Beck

Gabriel Wurzer

Gabriel Wurzer

Architecture: Data is nothing without purpose

Gabriel Wurzer focuses on data in the context of architecture and planning. His contribution makes it clear that data only reveals its value when placed within a specific application context, such as in simulations or Building Information Models (BIM). Wurzer is convinced that creative work will remain the preserve of humans, whilst AI can take over routine tasks.

Read more: https://www.tuwien.at/en/research/rti-support/research-data/news/news/data-is-nothing-without-purpose, opens an external URL in a new window

© TU Wien / Livia Beck

Paweł W. Woźniak

Paweł W. Woźniak

Human-Computer Interaction: AI on the rise - new opportunities for HCI

Paweł W. Woźniak from the Research Unit of Human Computer Interaction reports on his experiences with technology acceptance, diverse user research methods, the handling of qualitative data, and user-centred prototype design. Qualitative data, as generated in the field of prototype research, is often difficult to reproduce and consequently harder to align with the FAIR principles.

Read more: https://www.tuwien.at/en/research/rti-support/research-data/news/news/ai-on-the-rise-new-opportunities-for-hci, opens an external URL in a new window

© TU Wien / Livia Beck

Francesca Mangani

Francesca Mangani

Fluid mechanics: Drops, bubbles, and supercomputing

Francesca Mangani is an aeronautical engineer specialised in turbulent multiphase flows. Her simulations of drop distributions are run on modern high-performance computers, which speed up the calculations many times over. As sharing raw data would, on the one hand, overload networks and, on the other, be of no use to colleagues without access to supercomputers, she publishes code as open source instead.

Read more: https://www.tuwien.at/en/research/rti-support/research-data/news/news/drops-bubbles-and-supercomputing, opens an external URL in a new window

With the TU Wien Research Data, opens an external URL in a new window repository, TU Wien provides a suitable and certified platform for implementing the FAIR principles. Researchers at TU Wien are invited to actively use the repository and to contact the research data team with any questions.

Further information

Contact:research.data@tuwien.ac.at
Website: http://www.tuwien.at/en/researchdata

Technische Universität Wien published this content on April 21, 2026, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on April 23, 2026 at 15:05 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]