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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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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:Predicting Healthcare Accessibility in Vienna

Pothuganti, Pranay
2026-04-11 Data Management Plan Open
This Data Management Plan outlines the data sources, processing pipeline, and storage strategy for a machine learning project predicting healthcare accessibility across Vienna's 23 districts. It documents the use of two open government datasets, three trained classification models, and ensures...
Uploaded on April 12, 2026

DMP: Predicting Passenger Transport Trends in European Countries Using Machine Learning

Gupta, Abhinav
2026-04-11 Data Management Plan 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 11, 2026

Air Quality Monitoring Network: Current Measurement Data Vienna

NANNEBOINA, Guru Dinesh
2026-04-11 Data Management Plan Open
Air Quality Monitoring Network: Current Measurement Data Vienna This deposit contains all research outputs from a machine learning experiment on urban air quality prediction, conducted as part of the Data Stewardship (DaSt 2026) — FAIR Data Science course at TU Wien. The project uses sensor data...
Uploaded on April 11, 2026

DMP: Cultural Hunger: Predicting British Museum Attendance via National Bread Prices

Kulyk, Oleksii
2026-04-11 (v1) Data Management Plan Open
Context and methodology This project investigates the "Cultural Hunger" hypothesis: a spurious correlation study exploring whether the retail price of a standard 800g white loaf can predict monthly visitor attendance at the British Museum. The goal is to demonstrate a complete, FAIR-compliant...
Uploaded on April 11, 2026