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Sökning: onr:"swepub:oai:lup.lub.lu.se:5184b347-e10d-4c9a-9f7b-a8ecb5a82d49" > FAIRVASC: A semanti...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004395naa a2200361 4500
001oai:lup.lub.lu.se:5184b347-e10d-4c9a-9f7b-a8ecb5a82d49
003SwePub
008220419s2022 | |||||||||||000 ||eng|
024a https://lup.lub.lu.se/record/5184b347-e10d-4c9a-9f7b-a8ecb5a82d492 URI
024a https://doi.org/10.1016/j.compbiomed.2022.1053132 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
100a McGlinn, Krisu Trinity College Dublin4 aut
2451 0a FAIRVASC: A semantic web approach to rare disease registry integration
264 1b Elsevier BV,c 2022
520 a Rare disease data is often fragmented within multiple heterogeneous siloed regional disease registries, each containing a small number of cases. These data are particularly sensitive, as low subject counts make the identification of patients more likely, meaning registries are not inclined to share subject level data outside their registries. At the same time access to multiple rare disease datasets is important as it will lead to new research opportunities and analysis over larger cohorts. To enable this, two major challenges must therefore be overcome. The first is to integrate data at a semantic level, so that it is possible to query over registries and return results which are comparable. The second is to enable queries which do not take subject level data from the registries. To meet the first challenge, this paper presents the FAIRVASC ontology to manage data related to the rare disease anti-neutrophil cytoplasmic antibody (ANCA) associated vasculitis (AAV), which is based on the harmonisation of terms in seven European data registries. It has been built upon a set of key clinical questions developed by a team of experts in vasculitis selected from the registry sites and makes use of several standard classifications, such as Systematized Nomenclature of Medicine - Clinical Terms (SNOMED-CT) and Orphacode. It also presents the method for adding semantic meaning to AAV data across the registries using the declarative Relational to Resource Description Framework Mapping Language (R2RML). To meet the second challenge a federated querying approach is presented for accessing aggregated and pseudonymized data, and which supports analysis of AAV data in a manner which protects patient privacy. For additional security the federated querying approach is augmented with a method for auditing queries (and the uplift process) using the provenance ontology (PROV-O) to track when queries and changes occur and by whom. The main contribution of this work is the successful application of semantic web technologies and federated queries to provide a novel infrastructure that can readily incorporate additional registries, thus providing access to harmonised data relating to unprecedented numbers of patients with rare disease, while also meeting data privacy and security concerns.
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Reumatologi och inflammation0 (SwePub)302102 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Rheumatology and Autoimmunity0 (SwePub)302102 hsv//eng
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
700a Rutherford, Matthewu University of Glasgow4 aut
700a Gisslander, Karlu Lund University,Lunds universitet,Reumatologi och molekylär skelettbiologi,Sektion III,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Rheumatology,Section III,Department of Clinical Sciences, Lund,Faculty of Medicine4 aut0 (Swepub:lu)ka7822gi
700a Hederman, Lucyu Trinity College Dublin4 aut
700a Little, Mark A.u Trinity health kidney centre,Trinity College Dublin4 aut
700a O'Sullivan, Declanu Trinity College Dublin4 aut
710a Trinity College Dublinb University of Glasgow4 org
773t Computers in Biology and Medicined : Elsevier BVg 145q 145x 0010-4825
856u http://dx.doi.org/10.1016/j.compbiomed.2022.105313x freey FULLTEXT
8564 8u https://lup.lub.lu.se/record/5184b347-e10d-4c9a-9f7b-a8ecb5a82d49
8564 8u https://doi.org/10.1016/j.compbiomed.2022.105313

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