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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| Format: | Article |
| Language: | English |
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BioMed Central
2019-06-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gi-2019-17-2-e13.pdf |
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| _version_ | 1832572950571646976 |
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| author | Juan M. Banda |
| author_facet | Juan M. Banda |
| author_sort | Juan M. Banda |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-6e81b4f09851457c9753c28f7301c48f |
| institution | Kabale University |
| issn | 2234-0742 |
| language | English |
| publishDate | 2019-06-01 |
| publisher | BioMed Central |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj-art-6e81b4f09851457c9753c28f7301c48f2025-02-02T06:03:36ZengBioMed CentralGenomics & Informatics2234-07422019-06-0117210.5808/GI.2019.17.2.e13555Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open dataJuan M. Banda0 Panacea Laboratory, Department of Computer Science, Georgia State University, Atlanta, GA 30303, USAThe 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.http://genominfo.org/upload/pdf/gi-2019-17-2-e13.pdfclinical informaticscommon data modelcontrolled vocabularieslinked open dataRDFsemantic web |
| spellingShingle | Juan M. Banda Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data Genomics & Informatics clinical informatics common data model controlled vocabularies linked open data RDF semantic web |
| 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 | clinical informatics common data model controlled vocabularies linked open data RDF semantic web |
| url | http://genominfo.org/upload/pdf/gi-2019-17-2-e13.pdf |
| work_keys_str_mv | AT juanmbanda fullyconnectingtheobservationalhealthdatascienceandinformaticsohdsiinitiativewiththeworldoflinkedopendata |