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Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data

The usage of controlled biomedical vocabularies is the cornerstone that enables seamless interoperability when using a common data model across multiple data sites. The Observational Health Data Science and Informatics (OHDSI) initiative combines over 100 controlled vocabularies into its own. Howeve...

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Detalles Bibliográficos
Autor principal: Banda, Juan M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korea Genome Organization 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808628/
https://www.ncbi.nlm.nih.gov/pubmed/31307128
http://dx.doi.org/10.5808/GI.2019.17.2.e13
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author Banda, Juan M.
author_facet Banda, Juan M.
author_sort Banda, Juan M.
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description The usage of controlled biomedical vocabularies is the cornerstone that enables seamless interoperability when using a common data model across multiple data sites. The Observational Health Data Science and Informatics (OHDSI) initiative combines over 100 controlled vocabularies into its own. However, the OHDSI vocabulary is limited in the sense that it combines multiple terminologies and does not provide a direct way to link them outside of their own self-contained scope. This issue makes the tasks of enriching feature sets by using external resources extremely difficult. In order to address these shortcomings, we have created a linked data version of the OHDSI vocabulary, connecting it with already established linked resources like bioportal, bio2rdf, etc. with the ultimate purpose of enabling the interoperability of resources previously foreign to the OHDSI universe.
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spelling pubmed-68086282019-10-30 Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data Banda, Juan M. Genomics Inform Application Note The usage of controlled biomedical vocabularies is the cornerstone that enables seamless interoperability when using a common data model across multiple data sites. The Observational Health Data Science and Informatics (OHDSI) initiative combines over 100 controlled vocabularies into its own. However, the OHDSI vocabulary is limited in the sense that it combines multiple terminologies and does not provide a direct way to link them outside of their own self-contained scope. This issue makes the tasks of enriching feature sets by using external resources extremely difficult. In order to address these shortcomings, we have created a linked data version of the OHDSI vocabulary, connecting it with already established linked resources like bioportal, bio2rdf, etc. with the ultimate purpose of enabling the interoperability of resources previously foreign to the OHDSI universe. Korea Genome Organization 2019-06-11 /pmc/articles/PMC6808628/ /pubmed/31307128 http://dx.doi.org/10.5808/GI.2019.17.2.e13 Text en (c) 2019, Korea Genome Organization (CC) This is an open-access article distributed under the terms of the Creative Commons Attribution license(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Application Note
Banda, Juan M.
Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data
title Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data
title_full Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data
title_fullStr Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data
title_full_unstemmed Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data
title_short Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data
title_sort fully connecting the observational health data science and informatics (ohdsi) initiative with the world of linked open data
topic Application Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6808628/
https://www.ncbi.nlm.nih.gov/pubmed/31307128
http://dx.doi.org/10.5808/GI.2019.17.2.e13
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