BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration.

ABSTRACT:

Motivation

Biobanks are indispensable for large-scale genetic/epidemiological studies, yet it remains difficult for researchers to determine which biobanks contain data matching their research questions.

Results

To overcome this, we developed a new matching algorithm that identifies pairs of related data elements between biobanks and research variables with high precision and recall. It integrates lexical comparison, Unified Medical Language System ontology tagging and semantic query expansion. The result is BiobankUniverse, a fast matchmaking service for biobanks and researchers. Biobankers upload their data elements and researchers their desired study variables, BiobankUniverse automatically shortlists matching attributes between them. Users can quickly explore matching po

SUBMITTER: Pang C 

PROVIDER: S-EPMC5870622 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature