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dc.contributor.authorYaman, Beyza
dc.contributor.authorHederman, Lucy
dc.contributor.authorO'Sullivan, Declan
dc.contributor.authorLittle, Mark
dc.contributor.authorMcGlinn, Kris
dc.contributor.editorAli Hasnain,Tracy Robson, Michel Dumontier, Brian Kirby, Dietrich Rebholz-Schuhmannen
dc.date.accessioned2022-11-13T12:44:59Z
dc.date.available2022-11-13T12:44:59Z
dc.date.created29.05.2022en
dc.date.issued2022
dc.date.submitted2022en
dc.identifier.citationBeyza Yaman, Lucy Hederman, Declan O'Sullivan, Mark Little, Kris McGlinn, 'Towards A Rare Disease Registry Standard: Semantic Mapping of Common Data Elements Between FAIRVASC and the European Joint Programme for Rare Disease', 5th Workshop on Semantic Web solutions for large-scale biomedical data analytics (SeWeBMeDA-2022)en
dc.identifier.otherY
dc.identifier.urihttp://hdl.handle.net/2262/101548
dc.description.abstractThis paper describes the extension of the FAIRVASC rare disease ontology, with Joint Research Council Common Data Elements (CDE), and mapping to the European Joint Programme on Rare Dis- eases (EJP RD) CDE ontology. We use the rare autoimmune condition ANCA vasculitis as a model disease to illustrate this. Semantic modelling of CDE for Rare Diseases over registry data is important to represent the specific concepts around these conditions. We describe the develop- ment of an ontology which facilitates the simultaneous uplift of tabular data into a common RDF format from several registries. The ontology allows the data to be integrated across the registries and increases the interoperability and standardisation among datasets, thus enhancing col- laboration with external stakeholders. The ontology, therefore, creates an effective rare disease research environment which enables the disease and its impact on the patient to be investigated in an effective manner across national borders. This paper presents the methodology and road map to implement the CDE ontology for the health domain.en
dc.language.isoenen
dc.rightsYen
dc.subjectOntologyen
dc.subjectHealth informaticsen
dc.subjectRare diseaseen
dc.titleTowards A Rare Disease Registry Standard: Semantic Mapping of Common Data Elements Between FAIRVASC and the European Joint Programme for Rare Diseaseen
dc.title.alternative5th Workshop on Semantic Web solutions for large-scale biomedical data analytics (SeWeBMeDA-2022)en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/yamanb
dc.identifier.peoplefinderurlhttp://people.tcd.ie/mlittle
dc.identifier.peoplefinderurlhttp://people.tcd.ie/hederman
dc.identifier.peoplefinderurlhttp://people.tcd.ie/osulldps
dc.identifier.rssinternalid247878
dc.rights.ecaccessrightsopenAccess
dc.subject.TCDThemeDigital Engagementen
dc.subject.TCDTagHealth informaticsen
dc.subject.TCDTagontologyen
dc.subject.TCDTagrare diseasesen
dc.subject.darat_impairmentOtheren
dc.subject.darat_thematicHealthen
dc.status.accessibleNen
dc.contributor.sponsorHealth Research Board (HRB)en
dc.contributor.sponsorGrantNumberMRCG-2016-12en
dc.contributor.sponsorThe Meath Foundationen
dc.contributor.sponsorGrantNumber208591en
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.contributor.sponsorGrantNumber13/RC/2016_P2en


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