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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: Average Fuel Consumption in Vienna

Bharath, Sama
2026-04-14 Data Management Plan Open
This Data Management Plan (DMP) accompanies the FAIR Data Science project “Average Fuel Consumption in Vienna” submitted for the course FAIR Data Science at TU Wien (March 2026). The project trains a scikit-learn Linear Regression model on a publicly available dataset from the City of Vienna (MA...
Uploaded on April 14, 2026

DMP: Predicting Air Quality Levels in Vienna Using Machine Learning

Farooq, Mian Azan
2026-04-14 Data Management Plan Open
This Data Management Plan (DMP) describes how data is handled in a machine learning experiment that predicts air quality levels in Vienna using open government data. It covers data collection, documentation, storage, sharing, and long-term preservation according to FAIR data principles.
machine learning
air quality
data management plan
FAIR data
Uploaded on April 14, 2026

Meret Neith Theme Thing

Moser, Maximilian ; Miksa, Tomaszasdfadsf
2026-04-14 Other Restricted
A primer on your dataset's description 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...
test
Uploaded on April 14, 2026

DMP: Predicting Productivity Levels Based on Coffee Consumption

Nisar, Ahsan
2026-04-12 Dataset Open
Context and Methodology This dataset is used within a data science project focused on exploring the relationship between coffee consumption and productivity levels. The project is part of a course-based exercise in data stewardship and machine learning. The primary purpose of the dataset is to:...
Uploaded on April 14, 2026