TY - JOUR A1 - Sauermann, Stefan ED - RDA-COVID19-Epidemiology WG., Research Data Alliance T1 - Preservation of Individuals’ Privacy in Shared COVID-19 Related Data JF - COVID-19 Data sharing in epidemiology, version 0.054. N2 - This paper provides insight into how restricted data can be incorporated in an open-be-default-by-design digital infrastructure for scientific data. We focus, in particular, on the ethical component of FAIRER (Findable, Accessible, Interoperable, Ethical, and Reproducible) data, and the pseudo-anonymization and anonymization of COVID-19 datasets to protect personally identifiable information (PII). First we consider the need for the customisation of the existing privacy preservation techniques in the context of rapid production, integration, sharing and analysis of COVID-19 data. Second, the methods for the pseudo-anonymization of direct identification variables are discussed. We also discuss different pseudo-IDs of the same person for multi-domain and multi-organization. Essentially, pseudo-anonymization and its encrypted domain specific IDs are used to successfully match data later, if required and permitted, as well as to restore the true ID (and authenticity) in individual cases of a patient's clarification.Third, we discuss application of statistical disclosure control (SDC) techniques to COVID-19 disease data. To assess and limit the risk of re-identification of individual persons in COVID-19 datasets (that are often enriched with other covariates like age, gender, nationality, etc.) to acceptable levels, the risk of successful re-identification by a combination of attribute values must be assessed and controlled. This is done using statistical disclosure control for anonymization of data. Lastly, we discuss the limitations of the proposed techniques and provide general guidelines on using disclosure risks to decide on appropriate modes for data sharing to preserve the privacy of the individuals in the datasets. KW - COVID19 KW - pseudo-anonymization KW - statistical disclosure control KW - data sharing KW - privacy Y1 - 2020 ER - TY - JOUR A1 - Urbauer, Philipp A1 - Kmenta, Maximilian A1 - Frohner, Matthias A1 - Mense, Alexander A1 - Sauermann, Stefan T1 - Propose of Standards based IT Architecture to enrich the Value of Allergy Data by Telemonitoring Data JF - Stud Health Technol Inform KW - IT Standards Y1 - 2018 IS - 236 SP - 136 EP - 143 ER - TY - JOUR A1 - Sauermann, Stefan T1 - COVID-19 Questionnaires, Surveys, and Item-Banks: Overview of Clinical- and Population-Based Instruments JF - SSRN N2 - New COVID-19 related instruments are being rapidly developed around the world to collect patient- and population-based information. Heterogeneity between instruments limits comparability of results. The present study provides an overview of instruments and resources. We scoped the content domain on a selection of instruments using the Maelstrom taxonomy. Content of the instruments varied widely, from proximal measures (e.g., clinical symptoms, comorbidities, etc.) to distal measures such as political attitudes. We recommend that researchers reuse existing instruments to the greatest extent possible, and that they make results openly available in machine-readable format to facilitate reuse and maximize comparability of results across studies and countries. KW - COVID19 KW - Questionnaires KW - SARS-COV2 Y1 - 2020 ER - TY - JOUR A1 - Sauermann, Stefan T1 - Practical Ideas from Professors: Standards Education in Your Courses JF - IEEE Educators Resource Library KW - Education Y1 - ER - TY - JOUR A1 - Bijak, Manfred A1 - Winfried, Mayr A1 - Rakos, Monika A1 - Hofer, Christian A1 - Lanmüller, Hermann A1 - Rafolt, Dietmar A1 - Reichel, Martin A1 - Sauermann, Stefan A1 - Schmutterer, Christoph A1 - Unger, Ewald A1 - Russold, Michael A1 - Kern, Helmut T1 - The Vienna functional electrical stimulation system for restoration of walking functions in spastic paraplegia JF - Artificial Organs KW - Electrical Stimulation Y1 - 2019 IS - 26 / 3 SP - 227 ER - TY - JOUR A1 - Frohner, Matthias A1 - Urbauer, Philipp A1 - Sauermann, Stefan T1 - Bluetooth Low Energy Peripheral Android Health App for Educational and Interoperability Testing JF - Stud Health Technol Inform KW - Health Applications KW - Education KW - Mobile Devices Y1 - 2018 IS - 236 SP - 336 EP - 342 ER - TY - JOUR A1 - Sauermann, Stefan T1 - RDA COVID-19 Working Group. Recommendations and Guidelines on data sharing JF - Research Data Alliance, 2020. N2 - The Research Data Alliance (RDA) COVID-19 Working Group members bring various, global expertise to develop a body of work that comprises how data from multiple disciplines inform response to a pandemic combined with guidelines and recommendations on data sharing under the present COVID-19 cicumstances. This extends to research software sharing, in recognition of the key role in software in analysing data. The work has been divided into four research areas (namely, clinical, omics, epidemiology, social sciences) with four cross cutting themes (namely, community participation, indigenous data, legal and ethical considerations, research software), as a way to focus the conversations, and provide an initial set of guidelines in a tight timeframe. The detailed guidelines are aimed to help stakeholders follow best practices to maximise the efficiency of their work, and to act as a blueprint for future emergencies. The recommendations in the document are aimed at helping policymakers and funders to maximise timely, quality data sharing and appropriate responses in such health emergencies. This work was executed in an intense period over just over 6 weeks, with five iterations, all of which were opened for public community comment. Draft releases and comments are avaialable here (https://doi.org/10.15497/rda00046). This activity has been conducted under the RDA guiding principles of Openness, Consensus, Balance, Harmonization, Community-driven, and Non-profit and technology-neutral. KW - COVID19 Data Sharing Y1 - 2020 ER - TY - JOUR A1 - Urbauer, Philipp A1 - Sauermann, Stefan A1 - Frohner, Matthias A1 - Forjan, Mathias A1 - Pohn, Birgit A1 - Mense, Alexander T1 - Applicability of IHE/Continua components for PHR systems: Learning from experiences JF - Computers in biology and medicine KW - PHR Y1 - 2018 ER - TY - JOUR A1 - Pasteka, Richard A1 - Forjan, Mathias A1 - Sauermann, Stefan A1 - Drauschke, Andreas T1 - Electro-mechanical Lung Simulator Using Polymer and Organic Human Lung Equivalents for Realistic Breathing Simulation JF - Scientific Reports N2 - Simulation models in respiratory research are increasingly used for medical product development and testing, especially because in-vivo models are coupled with a high degree of complexity and ethical concerns. This work introduces a respiratory simulation system, which is bridging the gap between the complex, real anatomical environment and the safe, cost-effective simulation methods. The presented electro-mechanical lung simulator, xPULM, combines in-silico, ex-vivo and mechanical respiratory approaches by realistically replicating an actively breathing human lung. The reproducibility of sinusoidal breathing simulations with xPULM was verified for selected breathing frequencies (10–18 bpm) and tidal volumes (400–600 ml) physiologically occurring during human breathing at rest. Human lung anatomy was modelled using latex bags and primed porcine lungs. High reproducibility of flow and pressure characteristics was shown by evaluating breathing cycles (nTotal = 3273) with highest standard deviation |3σ| for both, simplified lung equivalents (μV˙ = 23.98 ± 1.04 l/min, μP = −0.78 ± 0.63 hPa) and primed porcine lungs (μV˙ = 18.87 ± 2.49 l/min, μP = −21.13 ± 1.47 hPa). The adaptability of the breathing simulation parameters, coupled with the use of porcine lungs salvaged from a slaughterhouse process, represents an advancement towards anatomically and physiologically realistic modelling of human respiration. KW - Breathing Simulation KW - Lung Simulator KW - Biomedical Engineering Y1 - 2020 VL - Vol 9 IS - No. 1 SP - Article number: 19778 ER - TY - JOUR A1 - Mense, Alexander A1 - Urbauer, Philipp A1 - Sauermann, Stefan A1 - Wahl, Harald T1 - Simulation environment for testing security and privacy of mobile health apps JF - Proceedings of the Modeling and Simulation in Medicine Symposium (MSM) 2016 KW - Security KW - Privacy KW - Health Applications Y1 - 2018 ER - TY - JOUR A1 - Urbauer, Philipp A1 - Frohner, Matthias A1 - Forjan, Mathias A1 - Pohn, Birgit A1 - Sauermann, Stefan A1 - Mense, Alexander T1 - A Closer Look on Standards Based Personal Health Device Communication: A Résumé over Four Years Implementing Telemonitoring Solutions JF - European Journal for Biomedical Informatics KW - eHealth KW - Telemonitoring Y1 - 2019 VL - 2012 IS - Vol 8, Issue 3 SP - 65 EP - 70 ER - TY - JOUR A1 - Mense, Alexander A1 - Sauermann, Stefan A1 - Gerbovics, Ferenc A1 - Frohner, Matthias A1 - Wahl, Harald A1 - Pucher, Robert T1 - Healthy Interoperability: A Standard Based Framework for Integrating Personal Monitoring and Personal Health Device Data into Medical Information Systems JF - The Journal on Information Technology in Healthcare / KW - Healthy Interoperability KW - Monitoring KW - Health Device KW - Data KW - Medical Information Systems Y1 - 2019 VL - Vol. 7 IS - 4 SP - 214 EP - 221 ER -