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416 results
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Is FAIR data useful for machine learning?
Explore how the FAIR principles, data reproducibility and data quality frameworks can overcome major barriers in the adoption of AI and ML ...
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Evaluating the transformation of UK national linked electronic health records to the OMOP CDM
How research on cardiovascular diseases can leap forward by harmonizing clinical data from multiple European countries to a common standard ...
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Improving the FAIR level of OHDSI studies using interoperable metadata standards on a pilot website
This poster explains how we FAIRify digital objects within the OHDSI ecosystem and IMI EHDEN. ...
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FAIR, FHIR and OMOP major themes at Bio-IT World 2020
At Bio-IT 2020, The Hyve actively participated in the presentations and panel discussions around FAIR, data strategy and open science. ...
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The Hyve's contributions to the OHDSI Symposium
Take a sneak peek at the items The Hyve’s colleagues will present during the symposium 6th annual OHDSI Symposium 2020 (Oct 18-22). ...
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Enabling data-driven research: Solving language barriers between humans and machines
Thoughts and learnings from the 2020 PharmaTec Series virtual conference. ...
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How to plan a successful FAIR journey
Besides the FAIRness of specific digital assets, a FAIR assessment also evaluates the maturity of organizations adopting the FAIR principles ...
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The importance of a FAIR Data Strategy in enhancing the Data Value Lifecycle
A six modules visual framework for the data value lifecycle assessment to provide a holistic view on corporate data environment,... ...
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Data Landscape Exploration
Systematic assessment of how an organisation creates, receives, processes and disseminates data ...
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[Ebook] A data engineer’s guide to semantic modelling
Have you just started out with semantic modelling? Or want to refresh your memory? Well, this guide is for you! ...
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