DC FieldValueLanguage
dc.contributor.authorChaleplioglou, Artemis-
dc.contributor.authorPapavlasopoulos, Sozon-
dc.contributor.authorPoulos, Marios-
dc.date.accessioned2023-10-16T06:58:23Z-
dc.date.available2023-10-16T06:58:23Z-
dc.date.issued2018-
dc.identifier.issn2367-8895-
dc.identifier.otherSzSNM_QAAAAJ:0EnyYjriUFMC-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/407-
dc.description.abstractLinked Open Data (LOD) in life sciences is about a movement dealing with an interconnected set of Big Data from clinical records, trials and pharmacologic interventions to next generation sequencing and proteomics. The combination of these evidence is a prerequisite for biomedical bibliometrics, conduction of systematic reviews and meta-analyses, evidence-based medicine and precision medicine. Therefore, we collected the BioPortal subdomain life sciences LOD datasets triples and links from the LOD Cloud diagram and old.datahub.io repository to explore their connections to the three top ontologies describing clinical, pharmacological and molecular biology information, SNOMED CT, RxNORM and GO respectively. We found that 96% of the datasets share links with SNOMED CT, 24% with RxNORM and 31.5% with GO. However, the datasets that share links with both RxNORM and GO are only 3.5%. Our data suggest the need of enrichment of life science LOD datasets with connections between pharmacology and molecular biology.en_US
dc.language.isoenen_US
dc.publisherInternational Association of Research and Scienceen_US
dc.relation.ispartofInternational Journal of Computersen_US
dc.sourceInternational Journal of Computers 3, 2018-
dc.subjectSemantic weben_US
dc.subjectLinked Dataen_US
dc.subjectBiomedicineen_US
dc.subjectLife Sciencesen_US
dc.subjectOntologiesen_US
dc.subjectBibliometricsen_US
dc.subjectEvidence-based medicineen_US
dc.subjectPrecision medicineen_US
dc.titleLife Sciences Linked Open Data Datasets Connections to SNOMED CT, RxNORM & GOen_US
dc.typeArticleen_US
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume3en_US
dc.identifier.spage171en_US
dc.identifier.epage176en_US
dc.linkhttps://www.iaras.org/iaras/home/cijc/life-sciences-linked-open-data-datasets-connections-to-snomed-ct-rxnorm-goen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-6519-7428-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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