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.
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Created: 30th Oct 2024 at 16:43
Last updated: 25th Apr 2025 at 10:12
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- Projects (1)
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This project covers the bachelor's and master's theses of the MAGIS working group.
Programme: Management von Gesundheitsinformationssystemen (MaGIS)
Public web page: Not specified
Organisms: Not specified
Submitter: Matthias Löbe
Studies: Aspects of FAIRness for Research Software Registries
Resources: Supplement 1: Aspects of FAIRness for Metadata Listed in Research Softwa...
Snapshots: No snapshots
This document is an excerpt of the author’s bachelor thesis.
Submitter: Matthias Löbe
Biological problem addressed: Model Analysis Type
Investigation: FAIR Software Registries
Human Diseases: No human diseases
Models: No Models
Data files: No Data files
Snapshots: No snapshots
Abstract (Expand)
Authors: W. Herbst, C. Draeger, M. Perbix, A. Winter, M. Lobe
Date Published: 8th Apr 2025
Publication Type: Journal article
PubMed ID: 40200509
Citation: Stud Health Technol Inform. 2025 Apr 8;323:359-363. doi: 10.3233/SHTI250112.
Creator: Wiebke Herbst
Submitter: Matthias Löbe
Investigations: FAIR Software Registries
Studies: Aspects of FAIRness for Research Software Regis...
Resources: Supplement 1: Aspects of FAIRness for Metadata ...
Projects: NLP4CR - Natural Language Processing for Clinical Research, Evaluation Metadata Repository, SMITH - Smart Medical Information Technology for Healthcare, FAIR4Health, 3LGM² Enterprise Architecture Modeling, Student Thesis, MI-Lab
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)

Projects: 3LGM² Enterprise Architecture Modeling, Student Thesis
Web page: Not specified