Studies

Created At
Go
54 Studies visible to you, out of a total of 61
No description specified

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).

Submitter: Sebastian Stäubert

Investigation: 3LGM²

Resources: Software

Study type: Not specified

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.

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

Powered by
(v.1.13.0-master)
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies