Welcome to TU Wien Research Data

TU Wien Research Data 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 TU.it.

The repository uses persistent identifiers and synchronises with data hubs: DataCite, OpenAIRE, and BASE. Thus, it maximizes the visibility of the uploaded content. TU Wien Research Data is also listed in FAIRsharing and re3data - registries many funders refer to.

Recent Uploads

Initial Measure, Learn and Plan of the Manufacturing Settings

Kiss, Tamas
2020-12-06 (5.0) Report Restricted
CO-VERSATILE implements its Manufacturing Settings based on a highly agile approach. The implementation is performed in six iterative cycles, each including build, measure and learn phases (Build-Measure-Learn = B-M-L). As the first build cycle is planned to start at the very beginning of the...
Uploaded on January 26, 2023

Manufacturing Settings - Intermediate Results

Terstyanszky, Gabor ; Landini, Alberto ; Lovas, Robert
2021-11-30 (2.0) Report Open
The CO-VERSATILE project aims at increasing the adaptation capacity, resilience and flexibility of the European manufacturing sector, focusing on vital medical supplies and equipment, to support Europe in improving its response and preparedness to deal with pandemics. CO-VERSATILE aims to...
Uploaded on January 26, 2023

Coaching and mentoring – intermediate results

Sorlini, Marzio ; Canavesi, Riccardo ; Moiana, Leonardo
2022-11-01 (3.1) Report Open
The Deliverable 3.6 shows the intermediate results achieved in the first eight months of activities of the two tasks with a specific reference to the project Manufacturing Settings. In fact, for each Manufacturing Setting a preliminary Market analysis, disclosure on the Certification paths to be...
Uploaded on January 26, 2023

SilviLaser 2021 Benchmark Dataset - Terrestrial Challenge

Hollaus, Markus ; Chen, Yi-Chen
2022-12 (1.0) Dataset Open
This benchmark dataset was acquired during the SilviLaser conference 2021 in Vienna. The benchmark aims to demonstrate the different terrestrial system's capabilities for capturing 3D scenes in various forest conditions. A number of universities, institutes, and companies participated and...
Agriculture, forestry, and fisheries
Earth and related environmental sciences
Uploaded on December 6, 2022