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839 articles · page 2 of 70
Zero trust architecture for a Trusted Research Environment (TRE) means that no user, device, network, workload, or output is trusted by default, even…
Patient and public involvement (PPI) in Trusted Research Environment governance means giving patients and members of the public a formal, resourced…
Dynamic consent in biobanking is a digital, ongoing model of consent in which participants use a secure online interface to see how their samples and…
Health research metadata standards are shared vocabularies for describing datasets so that researchers can find them, judge whether they fit a study…
A computable phenotype is a precise, machine-executable definition of a clinical condition or characteristic, such as "adults with type 2 diabetes"…
Health data quality is measured by testing real-world data against defined dimensions, most commonly conformance, completeness, and plausibility, and…
k-anonymity, l-diversity, and t-closeness are three privacy models for de-identifying health data. k-anonymity makes every record indistinguishable…
Population-scale proteomics needs data infrastructure that can store and version protein measurements for hundreds of thousands of people, harmonize…
Single-cell and spatial omics data belong in a Trusted Research Environment (TRE) because the files are both identifying and enormous: sequencing…
Pharmacogenomics research data links genetic variation to how people respond to medicines, combining genotypes for drug-metabolizing genes with…
A polygenic risk score (PRS) sums the small effects of many genetic variants into a single estimate of a person's inherited predisposition to a…
Privacy-enhancing technologies (PETs) for health data are techniques that let organizations analyze sensitive records while limiting what any party…
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