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Welcome to TU Wien Research Data (Test Instance)

TU Wien Research Data (Test Instance) is an institutional repository of TU Wien to enable storing, sharing and publishing of digital objects, in particular research data. It facilitates the funders' requirements for open access to research data and the FAIR principles by making research output findable, accessible, interoperable and re-usable. It is developed by the TU Wien Center for Research Data Management and hosted by Campus IT on servers in Vienna, Austria.

The repository uses persistent identifiers and synchronises with data hubs such as DataCite, OpenAIRE, BASE, and search services like Google Dataset Search. Thus, it maximizes the visibility of the uploaded content. TU Wien Research Data (Test Instance) is also listed in FAIRsharing and re3data - registries many funders refer to.

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Deposit research outputs openly, restricted or closed. A landing page provides information on your digital objects, download links, license and persistent identifier.

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Search datasets published by other users.

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For any questions regarding this service, please refer to our FAQ and our Upload Guide.

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To get in touch with our team, please visit our 'Contact' page.

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Recent uploads

DMP: Crash Severity Prediction for Emergency Dispatch

Windsperger, Anton
2026-04-14 (1.0) Data Management Plan Open
Context and methodology This Data Management Plan covers the project "Crash Severity Prediction for Emergency Dispatch", which uses machine learning to predict road accident severity to support emergency dispatch prioritisation. The project reuses the STATS19 Road Safety Open Data 2023 (UK...
Computer and information sciences
Uploaded on April 15, 2026

DMP: Air Pollution Emissions Classification using European Open Data

Sodhi, Muskan
2026-04-14 Data Management Plan Open
Dataset Description: Air Pollution Emissions Classification Dataset Context and methodology This dataset is used in a machine learning project analysing air pollution emissions in Europe. The data comes from the European Open Data Portal (EAA20 - Air Pollution Emissions dataset). The purpose is...
Uploaded on April 15, 2026

Air quality Classification Using Machine learning Techniques

Zubair, Sajid
2026-04-14 Dataset Open
A primer on your dataset's description (to be edited)The influence of proper documentation on the reusability for research data should not be underestimated!In order to help others understand how to interpret and reuse your data, we provide you with a few questions to help you structure your...
Uploaded on April 15, 2026

The "Active Mind" – Predicting Academic Resilience through Physical Activity

Sahiti, Shkelqim
2026-04-11 Data Management Plan Open
Dataset Description Primer: The "Active Mind" The influence of proper documentation on the reusability for research data should not be underestimated!In order to help others understand how to interpret and reuse your data, we provide you with a few questions to help you structure your dataset's...
Uploaded on April 15, 2026

DMP: Traffic Accident Severity Prediction in Austria

Quaiyum, Md. Abdul
2026-04-11 Data Management Plan Open
Context and methodology This Data Management Plan (DMP) was created for the FAIR Data Science course (DaSt 2026) at TU Wien. The project investigates whether the severity of Austrian road traffic accidents (slight injury, serious injury, or fatality) can be predicted using a Random Forest...
Uploaded on April 15, 2026