Semantic Standards

This video was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and serves as an introduction to the main standards used within the SPHN Interoperability Framework developed by the SPHN Data Coordination Center (DCC) together with its collaboration partners.

Semantic standards gain importance when it comes to FAIR data sharing for research in Personalized Medicine and beyond. This training offers an insight into the most important clinical semantic standards that are relevant in Switzerland or internationally. Advantages, disadvantages and differences between the standards are highlighted and illustrated with practical examples.

Prerequisites:

None

After the training you will be able to:

  • Distinguish between classifications and ontologies
  • Understand the basics of CHOP, ATC, ICD-10, SNOMED CT and LOINC, and their area of application.

Resources:

All resources are available on the training's GitLab space

Licence: Creative Commons Attribution Share Alike 4.0 International

Keywords: Clinical data, Data semantics, FAIR, Standards, Ontology, SNOMED CT, LOINC, ATC, CHOP, ICD, Interoperability


Additional information

Target audience: Research Scientists, Data Managers, Biomedical Researchers, Bioinformaticians, Data Scientists

Resource type: Video, Training materials, E-learning

Status: Archived

Authors: Personalized Health Informatics Group, Kristin Gnodke

Contributors: Sabine Ă–sterle

Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science

Operations: Standardisation and normalisation, Data handling