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

J 2017

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

PANG, Chao, Fleur KELPIN, David VAN ENCKEVORT, Niina EKLUND, Kaisa SILANDER et. al.

Basic information

Original name

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

Authors

Edition

Bioinformatics, Oxford, Oxford University Press, 2017, 1367-4803

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Canada

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

DOI

Impact factor

Impact factor: 5.481

DOI

http://dx.doi.org/10.1093/bioinformatics/btx478

UT WoS

000415074800015

Změněno: 29/4/2020 22:10, doc. RNDr. Petr Holub, Ph.D.

Abstract

V originále

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.

Citovat

PANG, Chao, Fleur KELPIN, David VAN ENCKEVORT, Niina EKLUND, Kaisa SILANDER, Dennis HENDRIKSEN, Mark DE HAAN, Jonathan JETTEN, Tommy DE BOER, Bart CHARBON, Petr HOLUB, Hans HILLEGE and Morris A. SWERTZ. BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration. Bioinformatics. Oxford: Oxford University Press, 2017, vol. 33, No 22, p. 3627-3634. ISSN 1367-4803. Available from: https://dx.doi.org/10.1093/bioinformatics/btx478.

@article{1401920,
   author = {Pang, Chao and Kelpin, Fleur and van Enckevort, David and Eklund, Niina and Silander, Kaisa and Hendriksen, Dennis and de Haan, Mark and Jetten, Jonathan and de Boer, Tommy and Charbon, Bart and Holub, Petr and Hillege, Hans and Swertz, Morris A.},
   article_location = {Oxford},
   article_number = {22},
   doi = {http://dx.doi.org/10.1093/bioinformatics/btx478},
   language = {eng},
   issn = {1367-4803},
   journal = {Bioinformatics},
   title = {BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration},
   url = {http://dx.doi.org/10.1093/bioinformatics/btx478},
   volume = {33},
   year = {2017}
}

TY  - JOUR
ID  - 1401920
AU  - 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.
PY  - 2017
TI  - BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration
JF  - Bioinformatics
VL  - 33
IS  - 22
SP  - 3627-3634
EP  - 3627-3634
PB  - Oxford University Press
SN  - 13674803
UR  - http://dx.doi.org/10.1093/bioinformatics/btx478
L2  - http://dx.doi.org/10.1093/bioinformatics/btx478
N2  - 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.
ER  -

PANG, Chao, Fleur KELPIN, David VAN ENCKEVORT, Niina EKLUND, Kaisa SILANDER, Dennis HENDRIKSEN, Mark DE HAAN, Jonathan JETTEN, Tommy DE BOER, Bart CHARBON, Petr HOLUB, Hans HILLEGE and Morris A. SWERTZ. BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration. \textit{Bioinformatics}. Oxford: Oxford University Press, 2017, vol.~33, No~22, p.~3627-3634. ISSN~1367-4803. Available from: https://dx.doi.org/10.1093/bioinformatics/btx478.

Detailed Information on Publication Record