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

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 develo...
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Autor*in:	Yoon, Suhyeon [verfasserIn] Noh, Hyuna Jin, Heejin Lee, Sungyoung Han, Soyul Kim, Sung-Hee Kim, Jiseon Seo, Jung Seon Kim, Jeong Jin Park, In Ho Oh, Jooyeon Bae, Joon-Yong Lee, Gee Eun Woo, Sun-Je Seo, Sun-Min Kim, Na-Won Lee, Youn Woo Jang, Hui Jeong Hong, Seung-Min An, Se-Hee Lyoo, Kwang-Soo Yeom, Minjoo Lee, Hanbyeul Jung, Bud Yoon, Sun-Woo Kang, Jung-Ah Seok, Sang-Hyuk Lee, Yu Jin Kim, Seo Yeon Kim, Young Been Hwang, Ji-Yeon On, Dain Lim, Soo-Yeon Kim, Sol Pin Jang, Ji Yun Lee, Ho Kim, Kyoungmi Lee, Hyo-Jung Kim, Hong Bin Park, Jun Won Jeong, Dae Gwin Song, Daesub Choi, Kang-Seuk Lee, Ho-Young Choi, Yang-Kyu Choi, Jung-ah Song, Manki Park, Man-Seong Seo, Jun-Young Nam, Ki Taek Shin, Jeon-Soo Won, Sungho Yun, Jun-Won Seong, Je Kyung

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	SARS-CoV-2 COVID-19 Non-clinical Laboratory information management system Data

Anmerkung:	© The Author(s) 2022

Übergeordnetes Werk:	Enthalten in: Laboratory Animal Research - Seoul, 2010, 38(2022), 1 vom: 28. Juni
Übergeordnetes Werk:	volume:38 ; year:2022 ; number:1 ; day:28 ; month:06

Links:	Volltext

DOI / URN:	10.1186/s42826-022-00127-2

Katalog-ID:	SPR050819313

Internformat


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520			\|a 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.
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allfields	10.1186/s42826-022-00127-2 doi (DE-627)SPR050819313 (SPR)s42826-022-00127-2-e DE-627 ger DE-627 rakwb eng Yoon, Suhyeon verfasserin aut Laboratory information management system for COVID-19 non-clinical efficacy trial data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 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. SARS-CoV-2 (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 Non-clinical (dpeaa)DE-He213 Laboratory information management system (dpeaa)DE-He213 Data (dpeaa)DE-He213 Noh, Hyuna aut Jin, Heejin aut Lee, Sungyoung aut Han, Soyul aut Kim, Sung-Hee aut Kim, Jiseon aut Seo, Jung Seon aut Kim, Jeong Jin aut Park, In Ho aut Oh, Jooyeon aut Bae, Joon-Yong aut Lee, Gee Eun aut Woo, Sun-Je aut Seo, Sun-Min aut Kim, Na-Won aut Lee, Youn Woo aut Jang, Hui Jeong aut Hong, Seung-Min aut An, Se-Hee aut Lyoo, Kwang-Soo aut Yeom, Minjoo aut Lee, Hanbyeul aut Jung, Bud aut Yoon, Sun-Woo aut Kang, Jung-Ah aut Seok, Sang-Hyuk aut Lee, Yu Jin aut Kim, Seo Yeon aut Kim, Young Been aut Hwang, Ji-Yeon aut On, Dain aut Lim, Soo-Yeon aut Kim, Sol Pin aut Jang, Ji Yun aut Lee, Ho aut Kim, Kyoungmi aut Lee, Hyo-Jung aut Kim, Hong Bin aut Park, Jun Won aut Jeong, Dae Gwin aut Song, Daesub aut Choi, Kang-Seuk aut Lee, Ho-Young aut Choi, Yang-Kyu aut Choi, Jung-ah aut Song, Manki aut Park, Man-Seong aut Seo, Jun-Young aut Nam, Ki Taek aut Shin, Jeon-Soo aut Won, Sungho aut Yun, Jun-Won aut Seong, Je Kyung aut Enthalten in Laboratory Animal Research Seoul, 2010 38(2022), 1 vom: 28. Juni (DE-627)666217815 (DE-600)2623220-0 2233-7660 nnns volume:38 year:2022 number:1 day:28 month:06 https://dx.doi.org/10.1186/s42826-022-00127-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 38 2022 1 28 06
spelling	10.1186/s42826-022-00127-2 doi (DE-627)SPR050819313 (SPR)s42826-022-00127-2-e DE-627 ger DE-627 rakwb eng Yoon, Suhyeon verfasserin aut Laboratory information management system for COVID-19 non-clinical efficacy trial data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 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. SARS-CoV-2 (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 Non-clinical (dpeaa)DE-He213 Laboratory information management system (dpeaa)DE-He213 Data (dpeaa)DE-He213 Noh, Hyuna aut Jin, Heejin aut Lee, Sungyoung aut Han, Soyul aut Kim, Sung-Hee aut Kim, Jiseon aut Seo, Jung Seon aut Kim, Jeong Jin aut Park, In Ho aut Oh, Jooyeon aut Bae, Joon-Yong aut Lee, Gee Eun aut Woo, Sun-Je aut Seo, Sun-Min aut Kim, Na-Won aut Lee, Youn Woo aut Jang, Hui Jeong aut Hong, Seung-Min aut An, Se-Hee aut Lyoo, Kwang-Soo aut Yeom, Minjoo aut Lee, Hanbyeul aut Jung, Bud aut Yoon, Sun-Woo aut Kang, Jung-Ah aut Seok, Sang-Hyuk aut Lee, Yu Jin aut Kim, Seo Yeon aut Kim, Young Been aut Hwang, Ji-Yeon aut On, Dain aut Lim, Soo-Yeon aut Kim, Sol Pin aut Jang, Ji Yun aut Lee, Ho aut Kim, Kyoungmi aut Lee, Hyo-Jung aut Kim, Hong Bin aut Park, Jun Won aut Jeong, Dae Gwin aut Song, Daesub aut Choi, Kang-Seuk aut Lee, Ho-Young aut Choi, Yang-Kyu aut Choi, Jung-ah aut Song, Manki aut Park, Man-Seong aut Seo, Jun-Young aut Nam, Ki Taek aut Shin, Jeon-Soo aut Won, Sungho aut Yun, Jun-Won aut Seong, Je Kyung aut Enthalten in Laboratory Animal Research Seoul, 2010 38(2022), 1 vom: 28. Juni (DE-627)666217815 (DE-600)2623220-0 2233-7660 nnns volume:38 year:2022 number:1 day:28 month:06 https://dx.doi.org/10.1186/s42826-022-00127-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 38 2022 1 28 06
allfields_unstemmed	10.1186/s42826-022-00127-2 doi (DE-627)SPR050819313 (SPR)s42826-022-00127-2-e DE-627 ger DE-627 rakwb eng Yoon, Suhyeon verfasserin aut Laboratory information management system for COVID-19 non-clinical efficacy trial data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 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. SARS-CoV-2 (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 Non-clinical (dpeaa)DE-He213 Laboratory information management system (dpeaa)DE-He213 Data (dpeaa)DE-He213 Noh, Hyuna aut Jin, Heejin aut Lee, Sungyoung aut Han, Soyul aut Kim, Sung-Hee aut Kim, Jiseon aut Seo, Jung Seon aut Kim, Jeong Jin aut Park, In Ho aut Oh, Jooyeon aut Bae, Joon-Yong aut Lee, Gee Eun aut Woo, Sun-Je aut Seo, Sun-Min aut Kim, Na-Won aut Lee, Youn Woo aut Jang, Hui Jeong aut Hong, Seung-Min aut An, Se-Hee aut Lyoo, Kwang-Soo aut Yeom, Minjoo aut Lee, Hanbyeul aut Jung, Bud aut Yoon, Sun-Woo aut Kang, Jung-Ah aut Seok, Sang-Hyuk aut Lee, Yu Jin aut Kim, Seo Yeon aut Kim, Young Been aut Hwang, Ji-Yeon aut On, Dain aut Lim, Soo-Yeon aut Kim, Sol Pin aut Jang, Ji Yun aut Lee, Ho aut Kim, Kyoungmi aut Lee, Hyo-Jung aut Kim, Hong Bin aut Park, Jun Won aut Jeong, Dae Gwin aut Song, Daesub aut Choi, Kang-Seuk aut Lee, Ho-Young aut Choi, Yang-Kyu aut Choi, Jung-ah aut Song, Manki aut Park, Man-Seong aut Seo, Jun-Young aut Nam, Ki Taek aut Shin, Jeon-Soo aut Won, Sungho aut Yun, Jun-Won aut Seong, Je Kyung aut Enthalten in Laboratory Animal Research Seoul, 2010 38(2022), 1 vom: 28. Juni (DE-627)666217815 (DE-600)2623220-0 2233-7660 nnns volume:38 year:2022 number:1 day:28 month:06 https://dx.doi.org/10.1186/s42826-022-00127-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 38 2022 1 28 06
allfieldsGer	10.1186/s42826-022-00127-2 doi (DE-627)SPR050819313 (SPR)s42826-022-00127-2-e DE-627 ger DE-627 rakwb eng Yoon, Suhyeon verfasserin aut Laboratory information management system for COVID-19 non-clinical efficacy trial data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 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. SARS-CoV-2 (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 Non-clinical (dpeaa)DE-He213 Laboratory information management system (dpeaa)DE-He213 Data (dpeaa)DE-He213 Noh, Hyuna aut Jin, Heejin aut Lee, Sungyoung aut Han, Soyul aut Kim, Sung-Hee aut Kim, Jiseon aut Seo, Jung Seon aut Kim, Jeong Jin aut Park, In Ho aut Oh, Jooyeon aut Bae, Joon-Yong aut Lee, Gee Eun aut Woo, Sun-Je aut Seo, Sun-Min aut Kim, Na-Won aut Lee, Youn Woo aut Jang, Hui Jeong aut Hong, Seung-Min aut An, Se-Hee aut Lyoo, Kwang-Soo aut Yeom, Minjoo aut Lee, Hanbyeul aut Jung, Bud aut Yoon, Sun-Woo aut Kang, Jung-Ah aut Seok, Sang-Hyuk aut Lee, Yu Jin aut Kim, Seo Yeon aut Kim, Young Been aut Hwang, Ji-Yeon aut On, Dain aut Lim, Soo-Yeon aut Kim, Sol Pin aut Jang, Ji Yun aut Lee, Ho aut Kim, Kyoungmi aut Lee, Hyo-Jung aut Kim, Hong Bin aut Park, Jun Won aut Jeong, Dae Gwin aut Song, Daesub aut Choi, Kang-Seuk aut Lee, Ho-Young aut Choi, Yang-Kyu aut Choi, Jung-ah aut Song, Manki aut Park, Man-Seong aut Seo, Jun-Young aut Nam, Ki Taek aut Shin, Jeon-Soo aut Won, Sungho aut Yun, Jun-Won aut Seong, Je Kyung aut Enthalten in Laboratory Animal Research Seoul, 2010 38(2022), 1 vom: 28. Juni (DE-627)666217815 (DE-600)2623220-0 2233-7660 nnns volume:38 year:2022 number:1 day:28 month:06 https://dx.doi.org/10.1186/s42826-022-00127-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 38 2022 1 28 06
allfieldsSound	10.1186/s42826-022-00127-2 doi (DE-627)SPR050819313 (SPR)s42826-022-00127-2-e DE-627 ger DE-627 rakwb eng Yoon, Suhyeon verfasserin aut Laboratory information management system for COVID-19 non-clinical efficacy trial data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2022 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. SARS-CoV-2 (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 Non-clinical (dpeaa)DE-He213 Laboratory information management system (dpeaa)DE-He213 Data (dpeaa)DE-He213 Noh, Hyuna aut Jin, Heejin aut Lee, Sungyoung aut Han, Soyul aut Kim, Sung-Hee aut Kim, Jiseon aut Seo, Jung Seon aut Kim, Jeong Jin aut Park, In Ho aut Oh, Jooyeon aut Bae, Joon-Yong aut Lee, Gee Eun aut Woo, Sun-Je aut Seo, Sun-Min aut Kim, Na-Won aut Lee, Youn Woo aut Jang, Hui Jeong aut Hong, Seung-Min aut An, Se-Hee aut Lyoo, Kwang-Soo aut Yeom, Minjoo aut Lee, Hanbyeul aut Jung, Bud aut Yoon, Sun-Woo aut Kang, Jung-Ah aut Seok, Sang-Hyuk aut Lee, Yu Jin aut Kim, Seo Yeon aut Kim, Young Been aut Hwang, Ji-Yeon aut On, Dain aut Lim, Soo-Yeon aut Kim, Sol Pin aut Jang, Ji Yun aut Lee, Ho aut Kim, Kyoungmi aut Lee, Hyo-Jung aut Kim, Hong Bin aut Park, Jun Won aut Jeong, Dae Gwin aut Song, Daesub aut Choi, Kang-Seuk aut Lee, Ho-Young aut Choi, Yang-Kyu aut Choi, Jung-ah aut Song, Manki aut Park, Man-Seong aut Seo, Jun-Young aut Nam, Ki Taek aut Shin, Jeon-Soo aut Won, Sungho aut Yun, Jun-Won aut Seong, Je Kyung aut Enthalten in Laboratory Animal Research Seoul, 2010 38(2022), 1 vom: 28. Juni (DE-627)666217815 (DE-600)2623220-0 2233-7660 nnns volume:38 year:2022 number:1 day:28 month:06 https://dx.doi.org/10.1186/s42826-022-00127-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_20 GBV_ILN_22 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 38 2022 1 28 06
language	English
source	Enthalten in Laboratory Animal Research 38(2022), 1 vom: 28. Juni volume:38 year:2022 number:1 day:28 month:06
sourceStr	Enthalten in Laboratory Animal Research 38(2022), 1 vom: 28. Juni volume:38 year:2022 number:1 day:28 month:06
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	SARS-CoV-2 COVID-19 Non-clinical Laboratory information management system Data
isfreeaccess_bool	true
container_title	Laboratory Animal Research
authorswithroles_txt_mv	Yoon, Suhyeon @@aut@@ Noh, Hyuna @@aut@@ Jin, Heejin @@aut@@ Lee, Sungyoung @@aut@@ Han, Soyul @@aut@@ Kim, Sung-Hee @@aut@@ Kim, Jiseon @@aut@@ Seo, Jung Seon @@aut@@ Kim, Jeong Jin @@aut@@ Park, In Ho @@aut@@ Oh, Jooyeon @@aut@@ Bae, Joon-Yong @@aut@@ Lee, Gee Eun @@aut@@ Woo, Sun-Je @@aut@@ Seo, Sun-Min @@aut@@ Kim, Na-Won @@aut@@ Lee, Youn Woo @@aut@@ Jang, Hui Jeong @@aut@@ Hong, Seung-Min @@aut@@ An, Se-Hee @@aut@@ Lyoo, Kwang-Soo @@aut@@ Yeom, Minjoo @@aut@@ Lee, Hanbyeul @@aut@@ Jung, Bud @@aut@@ Yoon, Sun-Woo @@aut@@ Kang, Jung-Ah @@aut@@ Seok, Sang-Hyuk @@aut@@ Lee, Yu Jin @@aut@@ Kim, Seo Yeon @@aut@@ Kim, Young Been @@aut@@ Hwang, Ji-Yeon @@aut@@ On, Dain @@aut@@ Lim, Soo-Yeon @@aut@@ Kim, Sol Pin @@aut@@ Jang, Ji Yun @@aut@@ Lee, Ho @@aut@@ Kim, Kyoungmi @@aut@@ Lee, Hyo-Jung @@aut@@ Kim, Hong Bin @@aut@@ Park, Jun Won @@aut@@ Jeong, Dae Gwin @@aut@@ Song, Daesub @@aut@@ Choi, Kang-Seuk @@aut@@ Lee, Ho-Young @@aut@@ Choi, Yang-Kyu @@aut@@ Choi, Jung-ah @@aut@@ Song, Manki @@aut@@ Park, Man-Seong @@aut@@ Seo, Jun-Young @@aut@@ Nam, Ki Taek @@aut@@ Shin, Jeon-Soo @@aut@@ Won, Sungho @@aut@@ Yun, Jun-Won @@aut@@ Seong, Je Kyung @@aut@@
publishDateDaySort_date	2022-06-28T00:00:00Z
hierarchy_top_id	666217815
id	SPR050819313
language_de	englisch
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author	Yoon, Suhyeon
spellingShingle	Yoon, Suhyeon misc SARS-CoV-2 misc COVID-19 misc Non-clinical misc Laboratory information management system misc Data Laboratory information management system for COVID-19 non-clinical efficacy trial data
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topic_title	Laboratory information management system for COVID-19 non-clinical efficacy trial data SARS-CoV-2 (dpeaa)DE-He213 COVID-19 (dpeaa)DE-He213 Non-clinical (dpeaa)DE-He213 Laboratory information management system (dpeaa)DE-He213 Data (dpeaa)DE-He213
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title	Laboratory information management system for COVID-19 non-clinical efficacy trial data
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title_full	Laboratory information management system for COVID-19 non-clinical efficacy trial data
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author_browse	Yoon, Suhyeon Noh, Hyuna Jin, Heejin Lee, Sungyoung Han, Soyul Kim, Sung-Hee Kim, Jiseon Seo, Jung Seon Kim, Jeong Jin Park, In Ho Oh, Jooyeon Bae, Joon-Yong Lee, Gee Eun Woo, Sun-Je Seo, Sun-Min Kim, Na-Won Lee, Youn Woo Jang, Hui Jeong Hong, Seung-Min An, Se-Hee Lyoo, Kwang-Soo Yeom, Minjoo Lee, Hanbyeul Jung, Bud Yoon, Sun-Woo Kang, Jung-Ah Seok, Sang-Hyuk Lee, Yu Jin Kim, Seo Yeon Kim, Young Been Hwang, Ji-Yeon On, Dain Lim, Soo-Yeon Kim, Sol Pin Jang, Ji Yun Lee, Ho Kim, Kyoungmi Lee, Hyo-Jung Kim, Hong Bin Park, Jun Won Jeong, Dae Gwin Song, Daesub Choi, Kang-Seuk Lee, Ho-Young Choi, Yang-Kyu Choi, Jung-ah Song, Manki Park, Man-Seong Seo, Jun-Young Nam, Ki Taek Shin, Jeon-Soo Won, Sungho Yun, Jun-Won Seong, Je Kyung
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title_sort	laboratory information management system for covid-19 non-clinical efficacy trial data
title_auth	Laboratory information management system for COVID-19 non-clinical efficacy trial data
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. © The Author(s) 2022
abstractGer	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. © The Author(s) 2022
abstract_unstemmed	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. © The Author(s) 2022
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title_short	Laboratory information management system for COVID-19 non-clinical efficacy trial data
url	https://dx.doi.org/10.1186/s42826-022-00127-2
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author2	Noh, Hyuna Jin, Heejin Lee, Sungyoung Han, Soyul Kim, Sung-Hee Kim, Jiseon Seo, Jung Seon Kim, Jeong Jin Park, In Ho Oh, Jooyeon Bae, Joon-Yong Lee, Gee Eun Woo, Sun-Je Seo, Sun-Min Kim, Na-Won Lee, Youn Woo Jang, Hui Jeong Hong, Seung-Min An, Se-Hee Lyoo, Kwang-Soo Yeom, Minjoo Lee, Hanbyeul Jung, Bud Yoon, Sun-Woo Kang, Jung-Ah Seok, Sang-Hyuk Lee, Yu Jin Kim, Seo Yeon Kim, Young Been Hwang, Ji-Yeon On, Dain Lim, Soo-Yeon Kim, Sol Pin Jang, Ji Yun Lee, Ho Kim, Kyoungmi Lee, Hyo-Jung Kim, Hong Bin Park, Jun Won Jeong, Dae Gwin Song, Daesub Choi, Kang-Seuk Lee, Ho-Young Choi, Yang-Kyu Choi, Jung-ah Song, Manki Park, Man-Seong Seo, Jun-Young Nam, Ki Taek Shin, Jeon-Soo Won, Sungho Yun, Jun-Won Seong, Je Kyung
author2Str	Noh, Hyuna Jin, Heejin Lee, Sungyoung Han, Soyul Kim, Sung-Hee Kim, Jiseon Seo, Jung Seon Kim, Jeong Jin Park, In Ho Oh, Jooyeon Bae, Joon-Yong Lee, Gee Eun Woo, Sun-Je Seo, Sun-Min Kim, Na-Won Lee, Youn Woo Jang, Hui Jeong Hong, Seung-Min An, Se-Hee Lyoo, Kwang-Soo Yeom, Minjoo Lee, Hanbyeul Jung, Bud Yoon, Sun-Woo Kang, Jung-Ah Seok, Sang-Hyuk Lee, Yu Jin Kim, Seo Yeon Kim, Young Been Hwang, Ji-Yeon On, Dain Lim, Soo-Yeon Kim, Sol Pin Jang, Ji Yun Lee, Ho Kim, Kyoungmi Lee, Hyo-Jung Kim, Hong Bin Park, Jun Won Jeong, Dae Gwin Song, Daesub Choi, Kang-Seuk Lee, Ho-Young Choi, Yang-Kyu Choi, Jung-ah Song, Manki Park, Man-Seong Seo, Jun-Young Nam, Ki Taek Shin, Jeon-Soo Won, Sungho Yun, Jun-Won Seong, Je Kyung
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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. 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Laboratory information management system for COVID-19 non-clinical efficacy trial data

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