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Laboratory information management system for COVID-19 non-clinical efficacy trial data

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dc.contributor.author윤수현-
dc.contributor.author노현아-
dc.contributor.author진희진-
dc.contributor.author이성영-
dc.contributor.author한소율-
dc.contributor.author김성희-
dc.contributor.author김지선-
dc.contributor.author서정선-
dc.contributor.author김정진-
dc.contributor.author박인호-
dc.contributor.author오주연-
dc.contributor.author배준용-
dc.contributor.author이지은-
dc.contributor.author우선제-
dc.contributor.author서선민-
dc.contributor.author김나원-
dc.contributor.author이연우-
dc.contributor.author장희정-
dc.contributor.author홍승민-
dc.contributor.author안세희-
dc.contributor.author류광수-
dc.contributor.author염민주-
dc.contributor.author이한별-
dc.contributor.author정버드-
dc.contributor.author윤선우-
dc.contributor.author강정아-
dc.contributor.author석상혁-
dc.contributor.author이유진-
dc.contributor.author김서연-
dc.contributor.author김영빈-
dc.contributor.author황지연-
dc.contributor.author온다인-
dc.contributor.author임수연-
dc.contributor.author김솔빈-
dc.contributor.author장지윤-
dc.contributor.author이호-
dc.contributor.author김경미-
dc.contributor.author이효정-
dc.contributor.author김홍빈-
dc.contributor.author박준원-
dc.contributor.author정대균-
dc.contributor.author송대섭-
dc.contributor.author최강석-
dc.contributor.author이호영-
dc.contributor.author최양규-
dc.contributor.author최정아-
dc.contributor.author송만기-
dc.contributor.author박만성-
dc.contributor.author서준영-
dc.contributor.author남기택-
dc.contributor.author신전수-
dc.contributor.author원성호-
dc.contributor.author윤준원-
dc.contributor.author성제경-
dc.date.accessioned2022-09-24T17:40:29Z-
dc.date.available2022-09-24T17:40:29Z-
dc.date.created2022-09-23-
dc.date.issued2022-
dc.identifier.issn1738-6055-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/143909-
dc.description.abstractBackground: As the number of large-scale studies involving multiple organizations producing data has steadily increased, an integrated system for a common interoperable format is needed. In response to the coronavirus disease 2019 (COVID-19) pandemic, a number of global efforts are underway to develop vaccines and therapeutics. We are therefore observing an explosion in the proliferation of COVID-19 data, and interoperability is highly requested in multiple institutions participating simultaneously in COVID-19 pandemic research. Results: In this study, a laboratory information management system (LIMS) approach has been adopted to systemically manage various COVID-19 non-clinical trial data, including mortality, clinical signs, body weight, body temperature, organ weights, viral titer (viral replication and viral RNA), and multiorgan histopathology, from multiple institutions based on a web interface. The main aim of the implemented system is to integrate, standardize, and organize data collected from laboratories in multiple institutes for COVID-19 non-clinical efficacy testings. Six animal biosafety level 3 institutions proved the feasibility of our system. Substantial benefits were shown by maximizing collaborative high-quality non-clinical research. Conclusions: This LIMS platform can be used for future outbreaks, leading to accelerated medical product development through the systematic management of extensive data from non-clinical animal studies.-
dc.languageEnglish-
dc.language.isoen-
dc.publisher한국실험동물학회-
dc.titleLaboratory information management system for COVID-19 non-clinical efficacy trial data-
dc.title.alternativeLaboratory information management system for COVID-19 non-clinical efficacy trial data-
dc.typeArticle-
dc.contributor.affiliatedAuthor김경미-
dc.identifier.doi10.1186/s42826-022-00127-2-
dc.identifier.bibliographicCitationLaboratory Animal Research, v.38, no.2, pp.119 - 127-
dc.relation.isPartOfLaboratory Animal Research-
dc.citation.titleLaboratory Animal Research-
dc.citation.volume38-
dc.citation.number2-
dc.citation.startPage119-
dc.citation.endPage127-
dc.type.rimsART-
dc.identifier.kciidART002850875-
dc.description.journalClass2-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorSARS-CoV-2-
dc.subject.keywordAuthorCOVID-19-
dc.subject.keywordAuthorNon-clinical-
dc.subject.keywordAuthorLaboratory information management system-
dc.subject.keywordAuthorData-
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