Register training material
27 materials found

Keywords: Extras  or Ontologies 


Making cohort data FAIR

Cohort studies, which recruit groups of individuals who share common characteristics and follow them over a period of time, are a robust and essential method in biomedical research for understanding the links between risk factors and diseases. Through questionnaires, medical assessments, and...

Scientific topics: Data management, Data integration and warehousing

Keywords: FAIR data, Cohort data, Ontologies, Standards

Resource type: Video

Annotating data using next generation biobanking ontology (NGBO)

This video explains why we need data standardization and how to annotate data using next generation biobanking ontology (NGBO).

This video is part of the CINECA online training series, where you can learn about concepts and tools relevant to federated analysis of cohort data.

Scientific topics: Ontology and terminology, Data integration and warehousing

Keywords: Standards, Ontologies, Data Integration, data harmonization, Standardised vocabulary

Resource type: Video

Applying data standards to the harmonization of COVID-19 datasets from different sources

This video describes how public health genomics has played a key role in international responses to the COVID-19 pandemic, and how data standards are being used to harmonize data across jurisdictions for Canadian COVID-19 surveillance and outbreak investigations.

The video is aimed at anyone...

Scientific topics: Data integration and warehousing

Keywords: Data integration, Standards, Standardised vocabulary, data harmonization, Ontologies

Resource type: Video

Useful ontologies for harmonizing cohort data

This video describes a community of practice for interoperable ontology building called the OBO Foundry, and highlights a number of well curated and maintained ontologies that are useful for annotating cohort data.

The video is aimed at anyone interested in data standardization and/or the...

Scientific topics: Ontology and terminology, Data management, Data integration and warehousing

Keywords: Ontologies, Cohort data, data annotation

Resource type: Video

Annotating data using ontologies

This video highlights examples of tools and ontologies which can be used for annotating health data, and how ontologies help to support data ecosystems.

Scientific topics: Ontology and terminology, Data integration and warehousing, Data management

Keywords: Ontologies, Annotation, Data integration

Resource type: Video

Solutions for overcoming cohort data integration challenges using ontology: an introduction

Ontologies are collections of well-defined, hierarchical, controlled vocabulary, linked by logical relationships. This video introduces the concept and benefits of implementing ontologies for solving data integration issues when data is generated by different research groups.

Scientific topics: Data management, Data integration and warehousing, Ontology and terminology

Keywords: Ontologies, Data integration, Annotation

Resource type: Video

Data harmonization and enrichment using EMBL-EBI ontology tools

This video explains how the Zooma annotation tool, the OxO mapping service and the Ontology Lookup Service (OLS) can be used to harmonise and enrich biological and biomedical data.
The EMBL-EBI Ontology Tools can be used by both biological curators and software developers. Biological curators...

Scientific topics: Ontology and terminology, Data submission, annotation, and curation, Data management

Keywords: CINECA, data harmonization, Annotation, Ontologies

Resource type: Video

Giving data context, structure and meaning

Metadata, standards and ontologies are common ways of providing data with context, structure and meaning. In this webinar Sira explores the idea of once data are ontologised (mapped to standard structured vocabulary), they become linkable to build a bigger infrastructure of knowledge network and...

Keywords: metadata, Ontologies

EMBL-EBI Train Online

If you work in the life sciences, you may find that you’re spending less time doing experiments and more time analysing huge amounts of biological data. Train online is here to help you do this quickly and efficiently.

Scientific topics: Bioinformatics

Keywords: Bioinformatics, Chemical biology, Cross domain, Dna rna, Gene expression, Literature, Ontologies, Proteins, Structures, Systems

diXa data warehouse: Exploring data from toxicogenomics studies

diXa data warehouse: Exploring data from toxicogenomics studies from http://www.ebi.ac.uk/training/online/course/dixa-data-warehouse-exploring-data-toxicogenomics.

Keywords: Gene Expression, Ontologies, Chemical biology

Complex Portal: webinar

Keywords: Systems, Ontologies, Proteins, Structures

Complex Portal: Quick tour

Keywords: Systems, Ontologies, Proteins, Structures

Cellular Microscopy Phenotype Ontology (CMPO): Quick tour

Cellular Microscopy Phenotype Ontology (CMPO): Quick tour from http://www.ebi.ac.uk/training/online/course/cellular-microscopy-phenotype-ontology-cmpo-quick.

Keywords: Ontologies, Cross domain

BioSamples: Quick tour

Keywords: DNA RNA, Gene Expression, Ontologies, Proteins

BioSamples Database RDF: webinar

Keywords: DNA RNA, Gene Expression, Ontologies, Proteins