Publication details

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

Authors

PANG Chao KELPIN Fleur VAN ENCKEVORT David EKLUND Niina SILANDER Kaisa HENDRIKSEN Dennis DE HAAN Mark JETTEN Jonathan DE BOER Tommy CHARBON Bart HOLUB Petr HILLEGE Hans SWERTZ Morris A.

Year of publication 2017
Type Article in Periodical
Magazine / Source Bioinformatics
Citation
Web DOI
Doi http://dx.doi.org/10.1093/bioinformatics/btx478
Field Informatics
Description 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. 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 potential and search for biobanks/data elements matching their research. They can also curate matches and define personalized data-universes.