Register training material
4 materials found

Operations: Standardisation and normali... 


How to create a concept for the SPHN Dataset

How to create a concept for the SPHN Dataset is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centred around the SPHN Interoperability Framework developed by the SPHN Data...

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

Operations: Design, Standardisation and normalisation

Keywords: Clinical data, Semantic Framework, FAIR, Concepts design, Ontology, Semantic inheritance, SNOMED CT, Conceptualization

Resource type: Video, E-Learning

FAIR principles in practice for health data

FAIR principles in practice for health data was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

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

Operations: Standardisation and normalisation, Design

Keywords: Clinical data, RDF, Knowledge graph, Semantic framework, FAIR, Findability, Accessibility, Interoperability, Reusability

Resource type: Video, E-learning

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...

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

Operations: Data handling, Standardisation and normalisation

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

Resource type: Video, Training materials, E-learning

Plant Phenotyping Data managment Webinar (MIAPPE)

The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org), has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking...

Scientific topics: Plant biology, Phenomics, Data quality management, Data submission, annotation, and curation

Operations: Standardisation and normalisation

Resource type: Video, Slides