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8 materials found

Resource type: Life Science Literature Dat...  or E-learning 


Expanding the SPHN RDF Schema

This training module will provide researchers with an introduction on how to expand the SPHN RDF Schema using an ontology editor.

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

Operations: Editing, Ontology visualisation, Visualisation, Data handling

Keywords: Clinical data, Data semantics, FAIR, Ontology editing, Protegé, RDF, OWL

Resource type: Video, Training materials, E-learning

Expanding the SPHN RDF Schema http://tess.elixir-uk.org/materials/expanding-the-sphn-rdf-schema This training module will provide researchers with an introduction on how to expand the SPHN RDF Schema using an ontology editor. Kristin Gnodke Sabine Österle Ontology and terminology Medical informatics FAIR data Data management Computer science Clinical data, Data semantics, FAIR, Ontology editing, Protegé, RDF, OWL Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
Training Primer (RDF and SPARQL)

This training provides a first introduction to RDF and SPARQL.

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

Operations: Query and retrieval, Database search, Data handling, Data retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Triplestore, Ontology

Resource type: Video, Training materials, E-learning

Training Primer (RDF and SPARQL) http://tess.elixir-uk.org/materials/training-primer-rdf-and-sparql This training provides a first introduction to RDF and SPARQL. Sabine Österle Computer science Data management FAIR data Medical informatics Ontology and terminology Clinical data, SPARQL, Query data, RDF, Knowledge graph, Triplestore, Ontology Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
Semantic Standards

This training module provides an introduction on the key semantic standards used within SPHN.

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

Operations: Standardisation and normalisation, Data handling

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

Resource type: Video, Training materials, E-learning

Semantic Standards http://tess.elixir-uk.org/materials/semantic-standards This training module provides an introduction on the key semantic standards used within SPHN. Sabine Österle Ontology and terminology Medical informatics FAIR data Data management Computer science Clinical data, Data semantics, FAIR, Standards, Ontology, SNOMED CT, LOINC, ATC, CHOP, ICD Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
RDF Schema and Data Visualization

This training module will provide researchers with an introduction on how to explore and visualize the SPHN ontology and mock data.

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

Operations: Ontology visualisation, Visualisation, Data retrieval, Data handling, Query and retrieval

Keywords: Clinical data, SPARQL, Data visualization, RDF, Knowledge graph, GraphDB, Mock data

Resource type: Video, Training materials, Mock data, E-learning

RDF Schema and Data Visualization http://tess.elixir-uk.org/materials/rdf-schema-and-data-visualization This training module will provide researchers with an introduction on how to explore and visualize the SPHN ontology and mock data. Vasundra Touré Sabine Österle Data visualisation Medical informatics FAIR data Data management Computer science Clinical data, SPARQL, Data visualization, RDF, Knowledge graph, GraphDB, Mock data Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
Validate Graph Data with SHACL

This training module will provide researchers with an introduction on SHACL for RDF graphs validation.

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

Operations: Data handling, Validation

Keywords: Clinical data, SHACL, Data validation, RDF, Knowledge graph, GraphDB, RDF, RDF graph validation

Resource type: Video, Training materials, E-learning

Validate Graph Data with SHACL http://tess.elixir-uk.org/materials/validate-graph-data-with-shacl This training module will provide researchers with an introduction on SHACL for RDF graphs validation. Sabine Österle Vasundra Touré Computer science Data management FAIR data Medical informatics Clinical data, SHACL, Data validation, RDF, Knowledge graph, GraphDB, RDF, RDF graph validation Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
How to use Python and R with RDF Data

This training module will provide researchers with an introduction on how use R and Python in combination with SPARQL to query RDF data.

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

Operations: Data retrieval, Data handling, Query and retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Python, R, GraphDB

Resource type: Video, Training materials, Mock data, E-learning

How to use Python and R with RDF Data http://tess.elixir-uk.org/materials/how-to-use-python-and-r-with-rdf-data This training module will provide researchers with an introduction on how use R and Python in combination with SPARQL to query RDF data. Sabine Österle Vasundra Touré Medical informatics FAIR data Data management Computer science Clinical data, SPARQL, Query data, RDF, Knowledge graph, Python, R, GraphDB Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
Querying Data with SPARQL

This training module will provide researcher with an introduction to SPARQL queries for health-related data.

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

Operations: Query and retrieval, Database search, Data handling, Data retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, SNOMED CT, LOINC

Resource type: Video, Training materials with mock data, E-learning

Querying Data with SPARQL http://tess.elixir-uk.org/materials/querying-data-with-sparql This training module will provide researcher with an introduction to SPARQL queries for health-related data. Philip Krauss Sabine Österle Computer science Data management FAIR data Medical informatics Clinical data, SPARQL, Query data, RDF, Knowledge graph, SNOMED CT, LOINC Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
Using Europe PMC for effective literature research

This webinar will explain how to find and access relevant scientific literature and show how you can follow the latest developments in your scientific field. It will cover searches by topic and author, searches for associated research data, as well as advanced options for building complex...

Keywords: Literature search, peer reviewed articles, Europe PMC, Preprints, Data links, Annotations, Europe PMC, ORCID

Resource type: Life Science Literature Database, Life Sciences Literature Database

Using Europe PMC for effective literature research http://tess.elixir-uk.org/materials/using-europe-pmc-for-effective-literature-research This webinar will explain how to find and access relevant scientific literature and show how you can follow the latest developments in your scientific field. It will cover searches by topic and author, searches for associated research data, as well as advanced options for building complex queries. Europe PMC (https://europepmc.org/) is an open biomedical literature database including PubMed indexed articles, preprints, micropublications and more. This webinar is aimed at scientists who want to optimise their literature searches. No prior knowledge of bioinformatics is required, but an undergraduate level understanding of biology would be useful. Michael Parkin Literature search, peer reviewed articles, Europe PMC, Preprints, Data links, Annotations, Europe PMC, ORCID