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Laboratory information management system for COVID-19 non-clinical efficacy trial data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yoon, Suhyeon | - |
dc.contributor.author | Noh, Hyuna | - |
dc.contributor.author | Jin, Heejin | - |
dc.contributor.author | Lee, Sungyoung | - |
dc.contributor.author | Han, Soyul | - |
dc.contributor.author | Kim, Sung-Hee | - |
dc.contributor.author | Kim, Jiseon | - |
dc.contributor.author | Seo, Jung Seon | - |
dc.contributor.author | Kim, Jeong Jin | - |
dc.contributor.author | Park, In Ho | - |
dc.contributor.author | Oh, Jooyeon | - |
dc.contributor.author | Bae, Joon-Yong | - |
dc.contributor.author | Lee, Gee Eun | - |
dc.contributor.author | Woo, Sun-Je | - |
dc.contributor.author | Seo, Sun-Min | - |
dc.contributor.author | Kim, Na-Won | - |
dc.contributor.author | Lee, Youn Woo | - |
dc.contributor.author | Jang, Hui Jeong | - |
dc.contributor.author | Hong, Seung-Min | - |
dc.contributor.author | An, Se-Hee | - |
dc.contributor.author | Lyoo, Kwang-Soo | - |
dc.contributor.author | Yeom, Minjoo | - |
dc.contributor.author | Lee, Hanbyeul | - |
dc.contributor.author | Jung, Bud | - |
dc.contributor.author | Yoon, Sun-Woo | - |
dc.contributor.author | Kang, Jung-Ah | - |
dc.contributor.author | Seok, Sang-Hyuk | - |
dc.contributor.author | Lee, Yu Jin | - |
dc.contributor.author | Kim, Seo Yeon | - |
dc.contributor.author | Kim, Young Been | - |
dc.contributor.author | Hwang, Ji-Yeon | - |
dc.contributor.author | On, Dain | - |
dc.contributor.author | Lim, Soo-Yeon | - |
dc.contributor.author | Kim, Sol Pin | - |
dc.contributor.author | Jang, Ji Yun | - |
dc.contributor.author | Lee, Ho | - |
dc.contributor.author | Kim, Kyoungmi | - |
dc.contributor.author | Lee, Hyo-Jung | - |
dc.contributor.author | Kim, Hong Bin | - |
dc.contributor.author | Park, Jun Won | - |
dc.contributor.author | Jeong, Dae Gwin | - |
dc.contributor.author | Song, Daesub | - |
dc.contributor.author | Choi, Kang-Seuk | - |
dc.contributor.author | Lee, Ho-Young | - |
dc.contributor.author | Choi, Yang-Kyu | - |
dc.contributor.author | Choi, Jung-ah | - |
dc.contributor.author | Song, Manki | - |
dc.contributor.author | Park, Man-Seong | - |
dc.contributor.author | Seo, Jun-Young | - |
dc.contributor.author | Nam, Ki Taek | - |
dc.contributor.author | Shin, Jeon-Soo | - |
dc.contributor.author | Won, Sungho | - |
dc.contributor.author | Yun, Jun-Won | - |
dc.contributor.author | Seong, Je Kyung | - |
dc.date.accessioned | 2022-08-06T08:11:19Z | - |
dc.date.available | 2022-08-06T17:17:11Z | - |
dc.date.issued | 2022-06-28 | - |
dc.identifier.citation | Laboratory Animal Research, 38(1):17 | ko_KR |
dc.identifier.issn | 2233-7660 | - |
dc.identifier.uri | https://doi.org/10.1186/s42826-022-00127-2 | - |
dc.identifier.uri | https://hdl.handle.net/10371/184241 | - |
dc.description.abstract | Background : 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. | ko_KR |
dc.description.sponsorship | This research was supported by the National research foundation of Korea(NRF) grant funded by the Korea government(MSIT) (2020M3A9I2109027 and 2021M3H9A1030260). | ko_KR |
dc.language.iso | en | ko_KR |
dc.publisher | BMC | ko_KR |
dc.subject | SARS-CoV-2 | - |
dc.subject | COVID-19 | - |
dc.subject | Non-clinical | - |
dc.subject | Laboratory information management system | - |
dc.subject | Data | - |
dc.title | Laboratory information management system for COVID-19 non-clinical efficacy trial data | ko_KR |
dc.type | Article | ko_KR |
dc.identifier.doi | 10.1186/s42826-022-00127-2 | ko_KR |
dc.citation.journaltitle | Laboratory Animal Research | ko_KR |
dc.language.rfc3066 | en | - |
dc.rights.holder | The Author(s) | - |
dc.date.updated | 2022-07-03T03:15:19Z | - |
dc.citation.number | 1 | ko_KR |
dc.citation.startpage | 17 | ko_KR |
dc.citation.volume | 38 | ko_KR |
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