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

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dc.contributor.authorYoon, Suhyeon-
dc.contributor.authorNoh, Hyuna-
dc.contributor.authorJin, Heejin-
dc.contributor.authorLee, Sungyoung-
dc.contributor.authorHan, Soyul-
dc.contributor.authorKim, Sung-Hee-
dc.contributor.authorKim, Jiseon-
dc.contributor.authorSeo, Jung Seon-
dc.contributor.authorKim, Jeong Jin-
dc.contributor.authorPark, In Ho-
dc.contributor.authorOh, Jooyeon-
dc.contributor.authorBae, Joon-Yong-
dc.contributor.authorLee, Gee Eun-
dc.contributor.authorWoo, Sun-Je-
dc.contributor.authorSeo, Sun-Min-
dc.contributor.authorKim, Na-Won-
dc.contributor.authorLee, Youn Woo-
dc.contributor.authorJang, Hui Jeong-
dc.contributor.authorHong, Seung-Min-
dc.contributor.authorAn, Se-Hee-
dc.contributor.authorLyoo, Kwang-Soo-
dc.contributor.authorYeom, Minjoo-
dc.contributor.authorLee, Hanbyeul-
dc.contributor.authorJung, Bud-
dc.contributor.authorYoon, Sun-Woo-
dc.contributor.authorKang, Jung-Ah-
dc.contributor.authorSeok, Sang-Hyuk-
dc.contributor.authorLee, Yu Jin-
dc.contributor.authorKim, Seo Yeon-
dc.contributor.authorKim, Young Been-
dc.contributor.authorHwang, Ji-Yeon-
dc.contributor.authorOn, Dain-
dc.contributor.authorLim, Soo-Yeon-
dc.contributor.authorKim, Sol Pin-
dc.contributor.authorJang, Ji Yun-
dc.contributor.authorLee, Ho-
dc.contributor.authorKim, Kyoungmi-
dc.contributor.authorLee, Hyo-Jung-
dc.contributor.authorKim, Hong Bin-
dc.contributor.authorPark, Jun Won-
dc.contributor.authorJeong, Dae Gwin-
dc.contributor.authorSong, Daesub-
dc.contributor.authorChoi, Kang-Seuk-
dc.contributor.authorLee, Ho-Young-
dc.contributor.authorChoi, Yang-Kyu-
dc.contributor.authorChoi, Jung-ah-
dc.contributor.authorSong, Manki-
dc.contributor.authorPark, Man-Seong-
dc.contributor.authorSeo, Jun-Young-
dc.contributor.authorNam, Ki Taek-
dc.contributor.authorShin, Jeon-Soo-
dc.contributor.authorWon, Sungho-
dc.contributor.authorYun, Jun-Won-
dc.contributor.authorSeong, Je Kyung-
dc.date.accessioned2022-09-28T06:13:31Z-
dc.date.available2022-09-28T06:13:31Z-
dc.date.created2022-07-12-
dc.date.issued2022-06-
dc.identifier.citationLaboratory Animal Research, Vol.38 No.1, p. 17-
dc.identifier.issn1738-6055-
dc.identifier.urihttps://hdl.handle.net/10371/184505-
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.language영어-
dc.publisher한국실험동물학회-
dc.titleLaboratory information management system for COVID-19 non-clinical efficacy trial data-
dc.typeArticle-
dc.identifier.doi10.1186/s42826-022-00127-2-
dc.citation.journaltitleLaboratory Animal Research-
dc.identifier.wosid000819007500001-
dc.citation.number1-
dc.citation.startpage17-
dc.citation.volume38-
dc.identifier.kciidART002850875-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorLee, Youn Woo-
dc.contributor.affiliatedAuthorKim, Hong Bin-
dc.contributor.affiliatedAuthorWon, Sungho-
dc.contributor.affiliatedAuthorSeong, Je Kyung-
dc.type.docTypeArticle-
dc.description.journalClass1-
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