TY - JOUR
T1 - OPMI
T2 - 10th International Conference on Biomedical Ontology, ICBO 2019
AU - The Kidney Precision Medicine Project Consortium
AU - He, Yongqun
AU - Ong, Edison
AU - Schaub, Jennifer
AU - Dowd, Frederick
AU - O'Toole, John F.
AU - Siapos, Anastasios
AU - Reich, Christian
AU - Seager, Sarah
AU - Wan, Ling
AU - Yu, Hong
AU - Zheng, Jie
AU - Stoeckert, Christian
AU - Yang, Xiaolin
AU - Yang, Sheng
AU - Steck, Becky
AU - Park, Christopher
AU - Barisoni, Laura
AU - Kretzler, Matthias
AU - Himmelfarb, Jonathan
AU - Iyengar, Ravi
AU - Mooney, Sean D.
N1 - Publisher Copyright:
© 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
PY - 2019
Y1 - 2019
N2 - Consortia conducting precision medicine studies face a major challenge of integrating big data including clinical and biomedical data. In this study, we report our development of the community-driven Ontology of Precision Medicine and Investigation (OPMI) and its applications in clinical data and metadata representation. OPMI has been used to represent the common data model (CDM) of the Observational Health Data Sciences and Informatics (or OHDSI) program. It has also been used to represent approximately 30 case report forms defined by the NIH-supported Kidney Precision Medicine Project (KPMP). Our case studies showed that OPMI is able to semantically and precisely represent the OHDSI CDM, various KPMP clinical forms, and their associated data and metadata. Such ontological representations support standardized data representation, sharing, recording, integration, and advanced analysis.
AB - Consortia conducting precision medicine studies face a major challenge of integrating big data including clinical and biomedical data. In this study, we report our development of the community-driven Ontology of Precision Medicine and Investigation (OPMI) and its applications in clinical data and metadata representation. OPMI has been used to represent the common data model (CDM) of the Observational Health Data Sciences and Informatics (or OHDSI) program. It has also been used to represent approximately 30 case report forms defined by the NIH-supported Kidney Precision Medicine Project (KPMP). Our case studies showed that OPMI is able to semantically and precisely represent the OHDSI CDM, various KPMP clinical forms, and their associated data and metadata. Such ontological representations support standardized data representation, sharing, recording, integration, and advanced analysis.
KW - Case report form
KW - Common data model
KW - Kidney
UR - http://www.scopus.com/inward/record.url?scp=85113709832&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:85113709832
SN - 1613-0073
VL - 2931
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 30 July 2019 through 2 August 2019
ER -