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

Full article title	Laboratory information management system for COVID-19 non-clinical efficacy trial data
Journal	Laboratory Animal Research
Author(s)	Yoon, Suhyeon; Noh, Hyuna; Jin, Heejin; Lee, Sugyoung; Han, Soyul; Kim, Sung-Hee; Kim, Jiseon; Seo, Jung S.; Kim, Jeong J.; Park, In H.; Oh, Jooyeon; Bae, Joon-Yong; Lee, Gee E.; Woo, Sun-Je; Seo, Sun-Min; Kim, Na-Won; Lee, Youn W.; Jang, Hui J.; Hong, Seung-Min; An, Se-Hee; Lyoo, Kwang-Soo; Yeom, Minjoo; Lee, Hanbyeul; Jung, Bud; Yoon, Sun-Woo; Jang, Hung-Ah; Seok, Sang-Hyuk; Lee, Yu J.; Kim, Seo Y.; Kim, Young B.; Hwang, Ji-Yeon; On, Dain; Lim, Soo-Yeon; Kim, Sol P.; Jang, Ji Y.; Lee, Ho; Kim, Kyoungmi; Lee, Hyo-Jung; Kim, Hong B.; Park, Hun W.; Jeong, Dae G.; Song, Daesub; Choi, Kang-Seuk; Lee, Ho-Young; Choi, Yang-Kyu; Choi, Jung-ah; Song, Manki; Park, Man-Seong; Seo, Jun-Yeong; Nam, Ki T.; Shin, Jeon-Soo; Won, Sungho; Yun, Jun-Won; Seong, Je K.
Author affiliation(s)	Seoul National University, RexSoft Corp., Yonsei University College of Medicine, Korea University College of Medicine, International Vaccine Institute, Konkuk University, Seoul National University Bundang Hospital, Chonbuk National University, Korea University, Korea Research Institute of Bioscience and Biotechnology, Kangwon National University, National Cancer Center, Dongguk University, Yonsei University College of Medicine,
Primary contact	snumouse at snu dot ac dot kr
Year published	2022
Volume and issue	38
Article #	17
DOI	10.1186/s42826-022-00127-2
ISSN	2233-7660
Distribution license	Creative Commons Attribution 4.0 International
Website	https://labanimres.biomedcentral.com/articles/10.1186/s42826-022-00127-2
Download	https://labanimres.biomedcentral.com/track/pdf/10.1186/s42826-022-00127-2.pdf (PDF)

Abstract

Background: As the number of large-scale research studies involving multiple organizations producing data has steadily increased, an integrated system for a common interoperable data format is needed. For example, 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) has been adopted to systemically manage, via web interface, 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 multi-organ histopathology—from multiple institutions. The main aim of the implemented system is to integrate, standardize, and organize data collected from laboratories in multiple institutes conducting COVID-19 non-clinical efficacy testing. Six animal Biosafety level 3 (BSL-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 current and future outbreaks, leading to accelerated medical product development through the systematic management of extensive data from non-clinical animal studies.

Keywords: SARS-CoV-2, COVID-19, non-clinical, laboratory information management system, data

Notes

This presentation is faithful to the original, with only a few minor changes to presentation, grammar, and spelling. In some cases important information was missing from the references, and that information was added. The authors don't define "non-clinical trial" or "non-clinical research" in the original; for this version, a presumed definition and accompanying citation is provided to the reader for additional context.