On this page you can find short training videos created by the CINECA project. You can watch them to learn more about concepts and tools relevant to federated analysis of cohort data.
The video is aimed at presenting what is the Query Expansion (QE) and introducing all the QE services developed by WP1.
The video is aimed at presenting what is Horizontal Expansion, a QE service that retrieves synonyms based on semantic similarities.
The video is aimed at presenting what is the Vertical Expansion, a QE service that retrieves hypernyms and hyponyms aka the parents and the children of a concept in a specific ontology.
The video is aimed at presenting what is the Data Driven Expansion, a QE service based on a word2vec algorithm trained on 2 million PubMed abstracts.
This video provides an Overview of the FAIRsharing.org by Allyson Lister as part of the CINECA “How FAIR are you” webinar series and hackathon.
This video describes the FAIRplus fairification wizard by Fuqi Xu (EMBL-EBI) as part of the CINECA “How FAIR are you” webinar series and hackathon.
This video describes a common framework for designing portable federated pipelines. The joint cohort genotyping pipeline is provided as a specific implementation example. The ability of the pipeline to run in different environments, accessing the data via different protocols, and applying the appropriate normalisations is demonstrated.
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 ontology approach (i.e. public, end users). No prerequisite knowledge is required, but viewers may also find our previous videos useful. 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.
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 interested in data standardization and/or the ontology approach (i.e. public, end users). No prerequisite knowledge is required, but viewers may also find our previous videos useful. 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.
The video is aimed at all those involved in the management of biomedical research data (e.g. Data set managers of Elixir nodes; Managers of biomedical research data management systems). It demonstrate the power of the CINECA query expansion services.
The video is aimed at all those involved in the management of biomedical research data (e.g. Data set managers of Elixir nodes; Managers of biomedical research data management systems). It demonstrate the power of the CINECA query expansion services.
This video demonstrates the CanDIG and ELIXIR AAI interoperability.
This video demonstrates the CanDIG and ELIXIR AAI interoperability..
This video demonstrates how a service registry can operate with additional functionality when integrated more closely with the services providing queries (here, Beacon queries).
This video demonstrates how a standalone service registry operates, and our extensions to the service info and service registry standards to include cohort-level metadata.
This video highlights introduction to the Service Catalog, a searchable listing of query services available atop CINECA cohort data.
This video explains why we need data standardization and how to annotate data using next generation biobanking ontology (NGBO).
This video demonstrates how to annotate data using next generation biobanking ontology (NGBO).
This video highlights examples of tools and ontologies which can be used for annotating health data, and how ontologies help to support data ecosystems.
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.
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 access the tools through their respective websites. REST APIs are available for software developers who want to build systems based on these services.