TU Dresden Data Publications

Permanent URI for this collectionhttp://opara.zih.tu-dresden.de/handle/123456789/15

Data publications from research of Dresden University of Technology.

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  • ItemOpen Access
    Mobility and GNSS-route data from a smartphone app-based travel survey from Berlin and Dresden (Städte in Bewegung 2025)
    (Technische Universität Dresden, 2026-06-02) Weber, Johannes; Hubrich, Stefan; Díaz Cordero, Manuel; Noroozi, Vahid; Wübbenhorst, Jonas; Krombach, Jonas; Gerike, Regine
    These datasets are dedicated to non-commercial research purposes in the areas of mobility research, urban and transport planning, and geoinformation upon authorized request. Given the fact that the datasets contain personal data, only authorized research institutions in Germany can be granted full access. More information on data request can be found at https://dd-trust.zih.tu-dresden.de/msp-main/. Datasets can be provided as SAV or CSV files, collectively forming the StiB database of persons and their travel behavior, based in the cities of Berlin and Dresden, who have given their broad consent for scientific data reuse of pseudonymized data—referred to as the StiB Broad Consent Database. The database is hierarchical and consists of four interconnectable levels: 1) 1 dataset containing socio-demographic information about the participants as well as information about their participation in the survey (person level), 2) 1 dataset containing collected days per person with travel estimates, calendar details, participation duration and user validation status (day level), 3) 1+1 datasets with the collected trips per person and day with e.g. trip duration, distance, purpose and data quality criteria—extendable with a geo-referenced dataset containing start and end coordinates of the trips using WGS84 / EPSG:4326 (trip level) 4) 1+2 datasets with collected app items from the mobility diaries per person, day and trip with e.g., route/stay duration, distance, stay purpose and data quality criteria—extendable with two separate geo-referenced datasets containing information on route and stay geometry using WGS84 / EPSG:4326 (storyline level) The StiB Broad Consent Database is based on collected data from the StiB-app and related online questionnaires. These data have been post-processed by MSP and unified into one database, formatted according to the standardized structure above, from data collections in Berlin and Dresden.
  • ItemOpen Access
    Data for Composite superconducting orders and magnetism in CeRh2As2
    (Technische Universität Dresden, 2026-05-29) Jakubczyk, Fabian
    This archive contains the data plotted in the paper F. Jakubczyk, J. M. Link, C. Timm, Composite superconducting orders and magnetism in CeRh2As2, Phys. Rev. Res. (2026). For this paper, the interplay of the ordered phases in CeRh2As2 was investigated within a theoretical framework based on symmetry analysis combined with Bogoliubov--de Gennes and Landau methods. This approach accurately reproduces current experimental results for varying temperature as well as out-of-plane and in-plane magnetic field, both if the transition to a magnetic phase occurs below the superconducting critical temperature and if it occurs above. Calculations and plots of phase diagrams, free energy, order-parameter amplitudes and thermodynamic observables were carried out using Mathematica.
  • ItemOpen Access
    Charge Particle Optics Simulation Utilizing Hamiltonian Mechanics Perturbation Expansion and Boundary Elements Field Computation
    (Technische Universität Dresden, 2026-05-26) Lubk, Axel; Houdellier, Florent; Müller, Heiko; Uhlemann, Stephan
    Background incl. aims Advanced charge particle optics (CPO) requires fast and accurate computational tools for calculating (relativistic) particle trajectories including aberrations that, ideally, handle both arbitrary electrics and magnetic field sources, handle arbitrarily bend optical axis, allow incorporation of symmetries (e.g., rotational or mirror), incorporate optimization of design parameters such as pole piece diameter or pole distances. Ideally such tools should also be available under open source licenses in order to facilitate widespread use as well as distributed and sustainable development. Despite the enormous level of development and usefulness of commercial (e.g. Simion, EOD, Comsol) and open source packages, they often lack a subset of the above functionalities, somewhat hampering a wide spread development and use of advanced CPO for, e.g., Transmission Electron Microscopy, Secondary Ion Mass Spectroscopy, Photo Electron Spectroscopy, in academia, industry, and also teaching. The CPO software development described below intends to address that need. Methods Here we report on the development of an open source computational CPO framework incorporating the following principles to allow for an accurate, fast and flexible trajectory calculation: (A) We use boundary element method (BEM) computation of electric and magnetic fields, yielding smooth and accurate potentials, fields and higher-order derivatives at optical axis at arbitrary sampling, while reducing the meshing effort to surfaces (e.g., electrodes and pole pieces) of the CPO device. Herein, single layer representations of both electric and magnetic scalar potential are most efficient, while Green’s representation with Calderon preconditioning allows stable single step solution of magnetic field distributions in the presence of high µr materials. (B) We employ semianalytical hierarchical solution of perturbation series of Hamiltonian equations of motion around an optical axis[1] in order to provide computationally effective, fast and accurate built-up of aberrations along particle trajectories. While not implemented yet the Hamiltonian perturbation expansion also facilitates straight forward extension to curved axis and the eikonal representation of aberrations. (C) We integrate the fast field and particle trajectory computation with non-linear optimization routines facilitating automatic optimization of design parameters (e.g., multipole sizes, pole piece gap) with respect to certain target functionalities. This tool chain is written in Python and makes use of advanced open source libraries (namely OpenCascade for CAD, gmsh for meshing, BEMPP for BEM field computation, sympy for semianalytic Hamiltonian mechanics perturbation expansion including automatic code generation, scipy for solving equations of motion, nlopt for geometry optimization) in a modular way, which are partly adapted to the specifics of CPO. Notably, BEMPP was extended by parallel just-in-time compiled numba and opencl kernels for field derivative computations on optical axis as required for computation of paraxial trajectories and aberrations. Results We demonstrate and discuss the above tool chain with the help several electrostatic and magnetostatic CPO / building blocks of CPO, notably electrostatic Einzellens, electrostatic quadrupole – round aperture assembly (see Fig. 1) and magnetostatic quadrupole, touching implementation (e.g., CAD import, defining boundary conditions, vector potential gauge), numerical (e.g., mesh size, precision of paraxial solution) and CPO (e.g., chromatic and geometric aberrations) aspects. Conclusion A modular combination of adapted BEM field computations and semianalytical perturbation series expansion of Hamiltonian equations of motion admits a computationally efficient modeling of CPO utilizing a combination of powerful and freely available open source software packages. Further development aims at incorporation of curved optical axis and general enhancement of functionality and user friendliness in order to support development of advanced CPO across the community. Reference: [1] Kern, F., Krehl, J., Thampi, A., Lubk, A. “A Hamiltonian mechanics framework for charge particle optics in straight and curved systems”, Optik, 2021, 242, 167242 [2] Tamura, K., Okayama, S., Shimizu, R. “Third-order spherical aberration correction using multistage self-aligned quadrupole correction-lens systems”, Journal of Electron Microscopy, 2010, 59, 197 [3] We acknowledge financial support by the European Union's Horizon Europe framework program for research and innovation under grant agreement n. 101094299 (IMPRESS project).
  • ItemOpen Access
    Original research data of "Tunable-Threshold UV Dosimetry with Programmable Luminescent Tags via Oxygen-Mediated Room-Temperature Phosphorescence"
    (Technische Universität Dresden, 2026-05-19) Achenbach, Tim; Will, Paul-Anton; Schellhammer, Sebastian; Reineke, Sebastian
    Original research data to the following paper: Accurate monitoring of UV radiation is critical across numerous disciplines, yet bridging the gap between complex electronic devices and ambiguous, gradual colorimetric indicators remains challenging. Addressing this challenge, a novel approach for a customizable, purely organic UV threshold dosimeter based on oxygen-mediated room-temperature phosphorescence (RTP) is presented. The active layer comprises a purely organic emitter (BP-2TA) dispersed in a poly(methyl methacrylate) (PMMA) host, protected by a polyvinyl alcohol layer. Upon UV irradiation, photochemical oxygen consumption yields a high-contrast, sharp turn-on of the emitter’s phosphorescent emission once a specific cumulative UV dose is reached. This activation depends strictly on the cumulative dose rather than irradiation intensity and is systematically tunable by adjusting the emitter concentration. A comprehensive physical model is introduced that describes the wavelength and thickness dependencies, revealing a thin-film regime where the activation dose becomes independent of the active layer thickness. Supported by shelf-life stability tests, these findings, alongside the proposed operational modes, establish the RTP-based sensors as robust UV dosimeters that could be easily integrated into production processes.
  • ItemOpen Access
    Dental Anxiety and preventive dental care in 102 Patients in a oral surgery practice
    (Technische Universität Dresden, 2026-05-08) Berth, Hendrik; Quorri, Rezart; Cunoti, Nertsa
    The dataset contains questionnaire responses from 102 patients. These patients (42 males and 60 females with a mean age of 40.3 years) visited an oral surgery practice in Saxony, Germany, between December 2019 and June 2020. They completed the Dental Anxiety Scale (DAS) questionnaire, as well as answering six questions on preventive dental care. Examples of these questions are “How many times a day do you brush your teeth?” and “How often per year do you have your teeth professionally cleaned?”. The patients' gender, age, marital status, educational background and occupation were also recorded.
  • ItemOpen Access
    Multi-Domain Optimization for Networked Control Systems
    (Technische Universität Dresden, 2026-04-30) Pallewaththe Kankanamge, Hasal Dinusankha Kulasekara; Soler Perez Olaya, Santiago; Wollschlaeger, Martin
    This repository contains the experimental artifacts for our paper on multi-domain model-driven optimization for networked control systems, providing a comprehensive suite of resources for system modeling and evaluation, including: - plant-side dynamical models, - communication-delay models, - neural-network surrogate training and evaluation, - objective-function analysis for accuracy-versus-computation trade-offs, and - optional Hailo deployment and latency measurements.
  • ItemOpen Access
    Appendix300: Surgical video and patient metadata of 330 laparoscopic appendectomy cases from five institutions
    (Technische Universität Dresden, 2026-04-29) Kolbinger, Fiona R; Kirchner, Max; Pfeiffer, Kevin; Bodenstedt, Sebastian; Jenke, Alexander C; Barthel, Julia; Carstens, Matthias; Dehlke, Karolin; Dietz, Sophia; Emmanouilidis, Sotirios; Fitze, Guido; Freitag, Martin; Holderried, Fabian; Jacobi, Thorsten; Kanjo, Weam; Leitermann, Linda; Mees, Sören Torge; Pistorius, Steffen; Prudlo, Conrad; Seiberth, Astrid; Schultz, Jurek; Thiel, Karolin; Ziehn, Daniel; Speidel, Stefanie; Kather, Jakob Nikolas; Distler, Marius; Saldanha, Oliver Lester
    The limited availability of diverse and representative training data poses a critical barrier to the development of clinically relevant computational tools for intraoperative surgical decision support. Surgical procedures are not routinely recorded, and data annotation requires domain expertise, resulting in a scarcity of open-access surgical video datasets with high-quality annotations. Existing datasets are typically limited to single institutions and specific procedures, such as cholecystectomy, and rarely comprise patient-level metadata like demographic characteristics, disease history, or laboratory parameters. The Appendix300 dataset comprises 330 laparoscopic surgery recordings, including 325 full-length laparoscopic appendectomies and 5 control recordings from non-appendectomy procedures in pediatric and adult patients treated at five German centers. The dataset includes patient-level clinical metadata (demographics, medical history, clinical symptoms, preoperative laboratory parameters, and histopathological findings, as well as standardized expert annotations of the laparoscopic grade of appendicitis. This dataset enables novel validation tasks for computer vision in laparoscopic surgery and facilitates simulation of decentralized learning approaches, overall enhancing the breadth and translational relevance of AI-based surgical video analysis.
  • ItemOpen Access
    Airborne Laser Scanning, Elevation Models and True Orthophoto Mosaic of the Saxon–Bohemian Switzerland National Park Region from 2005
    (Technische Universität Dresden, 2026-04-27) Trommler, Marco
    The digital data has been created during an INTERREG IIIA project in the period from January 2004 up to December 2006. The main task of the project is the planning and finalisation of activities to create a homogeneous geographic data set including high accuracy topographic and optical data for the whole cross-border national park region Saxon- Bohemian Switzerland. Data acquisition was provided using one sensor system without splitting the region into several parts. Laser scanner data with a minimum of 1 measurement point per square meter and 50% overlap across flight direction, colour infrared and RGB imagery have been collected simultaneously. After the successful finalisation of data acquisition all the data was processed in order to produce high quality digital terrain models (DTM) and high resolution true ortho imagery mosaics. The data acquisition has been taken by TopoSys GmbH (Biberach, Germany) in Spring 2005 using the FALCONII sensor system. The mission was flown in March in the period from April 14th, 2005 to May 1st, 2005 (16 flights on 11 days). The true ortho imagery mosaic was completely created by TopoSys.
  • ItemOpen Access
    DIA-WALD Surveys
    (Technische Universität Dresden, 2026-04-17) Liebal, Sandra; Köhler, Josephine
    The study includes online surveys of providers and participants in participatory forest-based initiatives, as well as guided expert interviews with the providers. This dataset contains the questionnaires and their operationalizations.
  • ItemOpen Access
    Evolution and adaptations of the seminal proteome in an insect with traumatic insemination
    (Technische Universität Dresden, 2026-04-14) Garlovsky, Martin
    The protein composition of sperm and seminal fluid are key to male fitness. However, we currently lack an understanding of the factors that shape seminal proteome composition. The common bedbug (Cimex lectularius) mates by traumatic insemination, subjecting the ejaculate to a unique selective environment as sperm traverse the female genital and paragenital system. We provide the first high-throughput proteomic characterisation of the sperm and seminal fluid proteome in a hemimetabolous insect and the first in-depth proteomic characterisation of the male bedbug reproductive system. Our analysis revealed conserved and unique features of the sperm and seminal fluid proteome with possible links to features of sperm behaviour linked to traumatic insemination. The sperm proteome showed elevated rates of molecular evolution, unlike most other studied species. Conversely, the sperm proteome also contained many conserved proteins. Notably, we found an expansion of Sperm-leucylaminopeptidases (S-Laps) in bedbugs and other hemimetabolous insects, suggesting the origin of S-Laps is perhaps even more ancient than previously thought. Using in silico protein-ligand binding predictions, we show that S-Laps have likely retained catalytic activity. Our results provide a list of candidate proteins involved in reproduction and a useful resource for future studies of this expanding global pest.
  • ItemOpen Access
    Bicycle Driving Behaviour in Germany: A Driving Parameter Dataset Across 100 Cities based on CITY CYCLING GPS trajectories
    (Technische Universität Dresden, 2026-04-14) Lissner, Sven; Lindemann, Paul; Huber, Stefan
    The dataset presented was created as part of the cycling campaign City Cycling in Germany during the years 2022–2024. The campaign involved more than 3,000 municipalities across the entire country. Over a three-week period, which participants could freely select between May 1 and September 30, the goal was to replace as many car trips as possible with bicycle trips. Participants could use a smartphone application to record their data. The recorded GPS trajectories were transferred from the smartphone to a data lake as a database dump and were then regularly retrieved by a backend server for data pre-processing. During this process, trips, activities, modes of transport, and driving modes were identified. For the dataset presented, individual trajectories were processed with respect to several core variables characterizing cycling behaviour. The dataset was spatially filtered beforehand. A total of 109 cities and municipalities were selected based on variables such as population size, the number of campaign participants, topography, the modal share of cycling, and geographic location within Germany, in order to obtain a representative impression of cycling behaviour. As a result, more than 8 million trip records with 37 distinct variables were collected over the data years 2022–2024.The dataset was created and analysed within the scope of the DFG funded project "Bicycle Driving Behaviour in Germany", Project number 514587991
  • ItemOpen Access
    Rapid quantification method of pharmaceuticals in urban wastewater using UHPLC-Orbitrap mass spectrometry – a multi target approach for EU-directive advanced treatment evaluation
    (Technische Universität Dresden, 2026-04-13) Hofmann, Uta
    Pharmaceutical residues have become contaminants of emerging concern in wastewater, as inadequate removal by wastewater treatment plants can result in ecotoxicological impacts on aquatic ecosystems. For this reason, the EU Urban Wastewater Treatment Directive (UWWTD 2024/3019) requires the implementation of quaternary treatment upgrades and the regular monitoring of their effectiveness in European Wastewater Treatment Plants (WWTPs). In this study, a sensitive, reliable, and cost-effective analytical method was developed and validated for the simultaneous determination of twelve indicator substances, including nine compounds proposed by the UWWTD, and three substitutes in various influent and effluent of WWTPs. The method is based on solid-phase extraction (SPE) of 2-mL-wastewater samples using, followed by reversed-phase liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS) employing an Orbitrap Exploris™ 240. Detection was carried out using heated electrospray ionization in positive ionization mode (HESI+), except diclofenac (HESI-). Quantification was performed using SIM scans, while high-resolution full-scan spectra were acquired for confirmation. Limits of Quantification (LOQ) ranged mostly between 15 and 30 ng/L, except for candesartan, irbesartan and diclofenac with LOQ > 50 ng/L. A laboratory validation demonstrated high precision and accuracy for all selected pharmaceuticals. Further, the method was successfully applied to raw and treated wastewater from WWTPs of different size classes in the border region of Saxony (Germany) and Northern Bohemia (Czech Republic). This method therefore offers a rapid quantification approach for assessing the removal efficiency of pharmaceuticals and potential substitutes categorized in the UWWTD.
  • ItemOpen Access
    Data corresponding to publication: "Classical spin liquids from frustrated Ising models in hyperbolic space" by F. Köhler et al (2026)
    (Technische Universität Dresden, 2026-04-10) Vojta, Matthias
    This dataset contains the data and scripts corresponding to the figures in the publication F. Köhler, J. Erdmenger, R. Moessner, M. Vojta, "Classical spin liquids from frustrated Ising models in hyperbolic space", Phys. Rev. E (2026).
  • ItemOpen Access
    Three Finite Element Models of the openLAB Research Bridge
    (Technische Universität Dresden, 2026-04-10) Eisermann, Cedric; Sprenger, Bjarne; Lila, Kleo; Schnellenbach-Held, Martina; Marx, Steffen
    From May 5 to May 7, 2025, extensive experiments were conducted on the openLAB research bridge. The test program was structured as follows: - Day 1 (2025-05-05): Static and dynamic measurements in the reference state - Day 2 (2025-05-06): Loading of the bridge using hydraulic jacks up to the ultimate limit state - Day 3 (2025-05-07): Localized damage to the prestressing tendons (cutting wires at multiple locations) This dataset includes three finite element (FE) models of the openLAB research bridge which were used to simulate the load tests conducted on Day 2. The load was applied locally to the prestressed element (PE) 2.1 (span 2, PE axis 1) using two hydraulic jacks, incrementally increasing the load up to a total of 400 kN. The three FE models were independently developed using different FE software solutions and feature different element types: - FE model 1: ATENA, volume element model - FE model 2: DIANA FEA, volume element model - FE model 3: SOFiSTiK, combined beam-shell element model The dataset includes all necessary input files to recreate the FE models in their respective software environments and reproduce the simulation results of the load tests.
  • ItemOpen Access
    Training Data Set for U-Net Training based on Experimental Measurement using High Speed Camera
    (Technische Universität Dresden, 2026-04-10) Guesmi, Montadhar; Manthey, Johannes; Pani, Souman Kumar; Kupfer, Oliver; Dubbert, Manuel; Unz, Simon; Beckmann, Michael
    Boundary detection using a trained U-Net model. It visualizes the predicted boundaries, with each boundary overlaid on a preprocessed grayscale background.
  • ItemOpen Access
    Micro-CT data supporting the article: "Influence of the fine sand content on the fabric in binary mixtures"
    (Technische Universität Dresden, 2026-03-31) Schmidt, Selma; Löffler, Markus
    The data comprises the raw, reconstructed micro-CT images supporting the article: "Influence of the fine sand content on the fabric in binary mixtures". 8 specimens of binary mixtures of fine and coarse sand have been prepared with varying fine sand content. An observation window at the center of each specimen has been scanned with a voxel size of 6.22 μm for the specimens 01-04 and 6.18 μm for the specimens 05-08. Additionally, the entire specimen 05 has been scanned with a voxel size of 11.32 μm. Further information can be found in the corresponding article.
  • ItemOpen Access
    Original Data (microscopic pictures, Western blots) - Alveolar epithelial junctions in early lung injury and COVID-19-induced fibrosis
    (Technische Universität Dresden, 2026-03-30) Wiegner, Julián
    This data deposit contains all the raw data of the manuscript to the paper "The role of alveolar epithelial junctions in early lung injury and COVID-19-induced fibrosis" (see project abstract). The data is sorted by 3.1 to 3.4 corresponding to the headlines of the "Results" Section of the manuscript. 3.1 and 3.2 contain the raw microscopic pictures with corresponding negative controls devided by pathologic groups and the mRNA analysis data. 3.3 contains the raw microscopic pictures with corresponding negative controls named with different Treatments and the Western blots. 3.4 contains the raw microscopic pictures with corresponding negative controls of fluorescence and light microscopy.
  • ItemOpen Access
    ResNet to the ResCue: An automated approach for the detection of measurable residual disease in patients with acute myeloid leukemia.
    (Technische Universität Dresden, 2026-03-18) Thielecke, Lars; Roehnert, Maximilian-Alexander
    This repository provides a minimal, end‑to‑end example pipeline demonstrating how a trained ResNet‑34 model can recognize MRD‑associated patterns in UMAP embeddings derived from flow‑cytometry data of AML patients. ResNet‑based classifiers are widely used for image‑recognition tasks , making them well‑suited for distinguishing subtle MRD‑related patterns in UMAP‑transformed cytometry data. The pipeline consists of a small collection of Python and R scripts organized as a lightweight workflow, following the standard idea of pipelines as sequences of data‑processing and prediction steps . Included in the repository are: - a single example patient dataset (raw data, pre‑processed data, and generated image) - an R script for preprocessing the raw flow‑cytometry data - a Python script that converts the tabular preprocessed data into 2D images - the representative UMAP embedding needed for generating standardized 2D representations of patient-specific data - a Python script that loads the ResNet‑34 architecture (including the custom classifier head), initializes the trained weights , and runs the prediction procedure to distinguish MRD‑positive from MRD‑negative image patterns This example is intentionally minimal: it is not a production‑ready pipeline but an educational demonstration of how the core steps—data preparation, image generation, and model prediction—link together in a transparent, reproducible workflow.
  • ItemOpen Access
    Dynamic Spallation Energy Dissipation: Evaluation Methods for Split Hopkinson Bar Tests _ Dataset.rar
    (Technische Universität Dresden, 2026-03-11) Davoudkhani, Milad; Maca, Petr; Krcmarova, Nela; Beckmann, Birgit; Maas, Hans-Gerd
    This dataset comprises the data of the study on Dynamic Spallation Energy Dissipation: Evaluation Methods for Split Hopkinson Bar Tests. In this study, we employ a single high-speed camera setup with photogrammetric methods. The approach is based on enhanced inverse spatial resection principles for 3D tracking from single camera image sequence data and on Structure-from-Motion techniques for 3D shape reconstruction of multiple fragments produced in split Hopkinson bar impact experiments. These fragment shape and motion data allow to estimate the energy of each fragment, providing a key component in the analysis of energy dissipation.
  • ItemOpen Access
    Test data for ICPR 2026 - RARE-Vision Competition
    (Technische Universität Dresden, 2026-03-09) Le Floch, Maxime
    The RARE-VISION test dataset consists of three previously unseen capsule endoscopy examinations acquired with the Navicam system at the University Hospital Carl Gustav Carus, Technical University of Dresden. The dataset is strictly separated from the development data, and ground-truth annotations are withheld for final evaluation. Each case is provided as a complete chronological video sequence at a resolution of 480 × 480 pixels, preserving the original temporal order without trimming or manual segmentation. The three videos contain: 44,878 frames 53,220 frames 62,927 frames The data reflect real-world clinical variability and the natural class imbalance of capsule endoscopy, where rare pathological findings occur sparsely within long sequences of normal mucosa. Annotations are defined as temporal events (start frame, end frame, label) corresponding to the 17 competition target classes. The label set includes anatomical regions and pathological findings only; no anatomical landmarks are annotated. The dataset is designed to evaluate robust rare-event detection, temporal consistency, and fully automatic inference on long sequential video streams. The videos are provided exclusively for scientific research within the scope of the ICPR 2026 RARE-VISION competition and must not be used for any commercial purposes. For detailed terms of use, please refer to the official competition report and documentation. This study was approved by the Ethics Committee of the University Hospital Carl Gustav Carus at the Technical University of Dresden on December 16, 2022 (Ethics ID: BO-EK-534122022), confirming adherence to the ethical principles of the Declaration of Helsinki. Due to the retrospective anonymization of the data and their collection during clinically indicated routine interventions, explicit consent was not required. This is additionally supported by the Ethics Committee’s approval, a consultation with the data privacy officer, and local law. Section 34, Paragraph 1 of the Saxon Hospital Act (SächsKHG) explicitly allows the collection and analysis of this type of data.