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...

The training (delivered 23 June 2021) consisted of one hour of presentations (recorded stream), followed by a hands-on exercise with a Virtual Machine. In the hands-on part the trainees integrate their VM to ELIXIR AAI as an OpenID Connect client to...

Committed to the drafting of a Code of Conduct for the sector of health research according to Art. 40 GDPR, our initiative is advancing slowly but steadily. Throughout Europe, national jurisdictions differ to a great deal in their interpretations of the GDPR, especially in regard to its...

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...

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...

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.

In this talk, I will discuss the importance of the FAIR principles for the software tools we use to process data. Ranging from small analysis scripts to full fledged data processing pipelines, software needs to be FAIR to enable other researchers to reproduce our own experiments and reuse our...

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...

Since the FAIR data principles were published in 2016, many organizations including science funders and governments have adopted these principles to promote and foster true open science collaborations. However, to define a vision and create a video of a Personal Health Train that leverages...

We live in an era of cloud computing. Many of the services in the life sciences are keenly planning cloud transformations, seeking to create globally distributed ecosystems of harmonised data based on standards from organisations like GA4GH. CINECA faces similar challenges, gathering cohort...

This series of three videos describes and demonstrates the CINECA service catalog:

The first video introduces the Service Catalog, a searchable listing of query services available atop CINECA cohort data, and explains where it fits into CINECA’s set of interactive queries and data...

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

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...

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.