Studies
Submitter: Sebastian Stäubert
Investigation: 3LGM²
Resources: No Resources
Study type: Not specified
The model can be opened with the 3LGM² - Three-layer Graph-based meta modelling tool, a software to support the modelling of information systems in health care in strategic information management. See also the product page in ToolPool Gesundheitsforschung (in German).
Summary statistics of Meta-GWAS of odour identification.
Submitter: Franz Förster
Investigation: OMICS Investigations
Resources: Summary Statistics of odour identification
Study type: Genetic study
The model can be opened with the 3LGM² - Three-layer Graph-based meta modelling tool, a software to support the modelling of information systems in health care in strategic information management. See also the product page in ToolPool Gesundheitsforschung (in German).
Submitter: Matthias Löbe
Investigation: EHDS in 3LGM²
Resources: model files, screenshots
Study type: Not specified
This paper explains the mapping of the FAIR/FAIR4RS Principles to granular metrics and the method of the derivation of the 17 applicable aspects for metadata listed in research software registries.
It was submitted to ICIMTH 2024.
Submitter: Matthias Löbe
Investigation: FAIR Software Registries
Resources: Supplement 1: Aspects of FAIRness for Metadata Listed in Research Softwa...
Study type: Not specified
Lisa, a 20 year old patient, was diagnosed with a liver tumor. She has been receiving ongoing care from her primary care physician, Dr. Miller, and various specialists. She underwent a tumor removal surgery and agreed to donate biological samples (blood, tissue) and medical data (e.g., diagnostic results, surgery records) for research purposes. The data and biological materials will be used for scientific studies or to support further medical research. The provenance model tracks all aspects of ...
Submitter: Matthias Löbe
Investigation: MI-Lab Lerneinheiten
Resources: Lisa's liver tumor dataset
Study type: Not specified
Datenqualitätsanalysen
Daten, die für die Forschung verwendet werden sollen, müssen auf ihre Eignung für den Forschungszweck geprüft werden. Dies gilt sowohl bei primären Datenerfassungsprojekten wie klinischen Studien oder Kohorten, aber insbesondere auch bei der sekundären Verwendung bspw. von Versorgungsdaten. Ziel der Übung ist es, Studierende mit typischen Datenqualitätsproblemen am praktischen Beispiel vertraut zu machen und Fehlerklassen vorzustellen bzw. Werkzeuge zu deren Erkennung ...
Submitter: Matthias Löbe
Investigation: MI-Lab Lerneinheiten
Resources: No Resources
Study type: Not specified