A5054664769- Bioinformatics and Genomic Networks
- Data Quality and Management
- Machine Learning in Healthcare
- Ethics in Clinical Research
- COVID-19 Clinical Research Studies
- Mental Health Research Topics
- COVID-19 and Mental Health
- Research Data Management Practices
- Data-Driven Disease Surveillance
- Biomedical Ethics and Regulation
- Molecular Biology Techniques and Applications
- Biosimilars and Bioanalytical Methods
- Long-Term Effects of COVID-19
- Biomedical Text Mining and Ontologies
- Metabolomics and Mass Spectrometry Studies
- Scientific Computing and Data Management
Universitätsmedizin Göttingen
2021-2023
German Centre for Cardiovascular Research
2023
Biobanks are important infrastructures facilitating biomedical research. After a decade of rolling out such infrastructures, shift in attention to the sustainability biobanks could be observed recent years. In this regard, an increase as yet relatively low utilisation rates has been formulated goal. Higher can only achieved if perspectives potential users biobanks-particularly researchers not collaborating with biobanks-are adequately considered. To better understand their perspectives,...
As a national effort to better understand the current pandemic, three cohorts collect sociodemographic and clinical data from coronavirus disease 2019 (COVID-19) patients different target populations within German National Pandemic Cohort Network (NAPKON). Furthermore, Corona Consensus Dataset (GECCO) was introduced as harmonized basic information model for COVID-19 in routine. To compare cohort with other GECCO-based studies, items are mapped GECCO. mapping one another is complex, an...
The quality of biospecimens stored in a biobank depends tremendously on the technical personnel responsible for processing, storage, and release biospecimens. Adequate training these employees would allow harmonization correct sample handling thus ensure high comparable samples across locations. However, Germany there are no specific opportunities staff. To understand educational needs web-based survey was sent to all national biobanks via established e-mail registers. In total, 79 completed...
The increasing need for secondary use of clinical study data requires FAIR infrastructures, i.e. provide findable, accessible, interoperable and reusable data. It is crucial scientists to assess the number distribution cohorts that meet complex combinations criteria defined by research question. This so-called feasibility test increasingly offered as a self-service, where can filter available according specific parameters. Early tools have been developed biosamples or image collections. They...
Contradiction is a relevant data quality indicator to evaluate the plausibility of interdependent health items. However, while contradiction assessment achieved using domain-established contradictory dependencies, recent studies have shown necessity for additional requirements reach conclusive findings. For example, oral or rectal methods used in measuring body temperature will influence thresholds fever definition. The availability this required information as explicit items must be...
Abstract Background As a national effort to better understand the current pandemic, three cohorts collect sociodemographic and clinical data from COVID-19 patients different target populations within German National Pandemic Cohort Network (NAPKON). Furthermore, Corona Consensus Dataset (GECCO) was introduced as harmonized basic information model for in routine. To compare cohort with other GECCO-based studies, items are mapped GECCO. mapping one another is complex, an additional consistency...