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Related Concept Videos

Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...
Mouse Models of Cancer Study02:43

Mouse Models of Cancer Study

Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
The development of transgenic, knockout, and knock-in mice has led to an exponential increase in their use as model organisms in research,...

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Patient-specific Modeling of the Heart: Estimation of Ventricular Fiber Orientations
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Modeling Rare Disease Datasets with ART-DECOR.

Marco Schaarschmidt1,2

  • 1Berlin Institute of Health (BIH), Germany.

Studies in Health Technology and Informatics
|August 23, 2024
PubMed
Summary

This study models rare disease datasets using ART-DECOR, emphasizing FAIR principles. The French minimal dataset

Area of Science:

  • Health Informatics
  • Data Modeling
  • Rare Diseases

Background:

  • Implementing FAIR principles is crucial for data sharing in rare disease research.
  • Standardized data models facilitate interoperability and reusability.
  • The ART-DECOR tool supports the creation of such data models.

Purpose of the Study:

  • To demonstrate the application of the ART-DECOR modeling tool for rare disease datasets.
  • To highlight the importance of FAIR data principles in rare disease data management.
  • To provide a model for developing national minimal datasets for rare diseases.

Main Methods:

  • Utilizing the ART-DECOR modeling tool for dataset development.
  • Applying the FAIR data principles (Findable, Accessible, Interoperable, Reusable) throughout the modeling process.
Keywords:
FAIR PrinciplesMinimal DatasetModelingRare Diseases

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  • Developing a minimal dataset for rare diseases in France (SDM-MR.fr).
  • Main Results:

    • Successful modeling of the French minimal dataset for rare diseases (SDM-MR.fr) adhering to FAIR principles.
    • Demonstrated the utility of ART-DECOR for creating standardized health data models.
    • Established a precedent for developing similar minimal datasets in other countries.

    Conclusions:

    • The ART-DECOR tool is effective for modeling rare disease datasets according to FAIR principles.
    • The French minimal dataset serves as a successful example for international adaptation.
    • Standardized minimal datasets are essential for advancing rare disease research and collaboration.