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.
Recent uploads
Scherling, Christopher
2026-03-27 (1.0) Data Management Plan Open
Initial Data Management Plan for AlpenFlow, a 9-class machine learning experiment that predicts which Austrian federal province a tourist group visited, based on country of origin, travel month, and aggregate overnight-stay statistics. The input data is the publicly available dataset...
Computer and information sciences
Economics and business
Uploaded on April 1, 2026
Scherer, Markus
2026-03-25 Dataset Open
Update2 Description
Uploaded on March 25, 2026
Sharma, Anukriti
2026-03-25 Data Management Plan Open
The dataset used in this experiment is Food Hygiene Rating Scheme – Camden. The dataset is publiclyavailable through the European Union Open Data Portal (London Borough of Camden, n.d.).London Borough of Camden (n.d.). *Food Hygiene Rating Scheme – Camden*. European Open DataPortal. Available...
Computer and information sciences
Uploaded on March 25, 2026
Lucas, Yash
2026-03-25 Data Management Plan Open
The Camden Housing Stock dataset provides a wide range of information regarding residential properties owned and managed by the London Borough of Camden. This dataset is extremely helpful for gaining valuable insights into housing stock within the borough. The dataset contains detailed...
Uploaded on March 25, 2026
Wunder, Arthur
2026-03-18 (1.0) Data Management Plan Open
This is the initial Data Management Plan for the project "Predicting Tree Genus from Urban Morphological Features: A Classification Study on Vienna's Street Tree Registry", conducted as part of the Data Stewardship course at TU Wien (2026). The project investigates whether tree genus can be...
Agricultural biotechnology
Biological sciences
Computer and information sciences
Uploaded on March 18, 2026