Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples

Autores
Broeckling, Corey D.; Beger, Richard D.; Cheng, Leo L.; Cumeras, Raquel; Cuthbertson, Daniel J.; Dasari, Surendra; Davis, W. Clay; Dunn, Warwick B.; Evans, Anne Marie; Fernández Ochoa, Alvaro; Gika, Helen; Goodacre, Royston; Goodman, Kelli D.; Gouveia, Goncalo J.; Hsu, Ping-Ching; Kirwan, Jennifer A.; Kodra, Dritan; Kuligowski, Julia; Lan, Renny Shang-Lun; Monge, Maria Eugenia; Moussa, Laura W.; Nair, Sindhu G.; Reisdorph, Nichole; Sherrod, Stacy D.; Ulmer Holland, Candice; Vuckovic, Dajana; Yu, Li-Rong; Zhang, Bo; Theodoridis, Georgios; Mosley, Jonathan D.
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Untargeted metabolomics is an analytical approach with numerous applications serving as an effective metabolic phenotyping platform to characterize small molecules within a biological system. Data quality can be challenging to evaluate and demonstrate in metabolomics experiments. This has driven the use of pooled quality control (QC) samples for monitoring and, if necessary, correcting for analytical variance introduced during sample preparation and data acquisition stages. Described herein is a scoping literature review detailing the use of pooled QC samples in published untargeted liquid chromatography-mass spectrometry (LC-MS) based metabolomics studies. A literature query was performed, the list of papers was filtered, and suitable articles were randomly sampled. In total, 109 papers were each reviewed by at least five reviewers, answering predefined questions surrounding the use of pooled quality control samples. The results of the review indicate that use of pooled QC samples has been relatively widely adopted by the metabolomics community and that it is used at a similar frequency across biological taxa and sample types in both small- and large-scale studies. However, while many studies generated and analyzed pooled QC samples, relatively few reported the use of pooled QC samples to improve data quality. This demonstrates a clear opportunity for the field to more frequently utilize pooled QC samples for quality reporting, feature filtering, analytical drift correction, and metabolite annotation. Additionally, our survey approach enabled us to assess the ambiguity in the reporting of the methods used to describe the generation and use of pooled QC samples. This analysis indicates that many details of the QC framework are missing or unclear, limiting the reader’s ability to determine which QC steps have been taken. Collectively, these results capture the current state of pooled QC sample usage and highlight existing strengths and deficiencies as they are applied in untargeted LC-MS metabolomics.
Fil: Broeckling, Corey D.. State University of Colorado - Fort Collins; Estados Unidos
Fil: Beger, Richard D.. Us Food And Drug Administracion; Estados Unidos
Fil: Cheng, Leo L.. Harvard Medical School; Estados Unidos
Fil: Cumeras, Raquel. Universitat Rovira I Virgili; España
Fil: Cuthbertson, Daniel J.. Agilent Technologies; Estados Unidos
Fil: Dasari, Surendra. Mayo Clinic Cancer Center; Estados Unidos
Fil: Davis, W. Clay. United States Departament Of Commerce. National Institute Of Standars And Technology; Estados Unidos
Fil: Dunn, Warwick B.. University of Liverpool; Reino Unido
Fil: Evans, Anne Marie. Metabolon; Estados Unidos
Fil: Fernández Ochoa, Alvaro. Universidad de Granada; España
Fil: Gika, Helen. Aristotle University Of Thessaloniki; Grecia
Fil: Goodacre, Royston. University of Liverpool; Reino Unido
Fil: Goodman, Kelli D.. Metabolon, Inc.; Estados Unidos
Fil: Gouveia, Goncalo J.. University of Maryland; Estados Unidos
Fil: Hsu, Ping-Ching. University of Arkansas for Medical Sciences; Estados Unidos
Fil: Kirwan, Jennifer A.. Berliner Institut Für Gesundheitsforschung; Alemania
Fil: Kodra, Dritan. Aristotle University Of Thessaloniki; Grecia
Fil: Kuligowski, Julia. Health Research Institute la Fe; España
Fil: Lan, Renny Shang-Lun. Arkansas Children's Nutrition Center; Estados Unidos
Fil: Monge, Maria Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Bionanociencias "Elizabeth Jares Erijman"; Argentina
Fil: Moussa, Laura W.. Us Food And Drug Administracion; Estados Unidos
Fil: Nair, Sindhu G.. University of Alberta; Canadá
Fil: Reisdorph, Nichole. University Of Colorado Anschutz Medical Campus.; Estados Unidos
Fil: Sherrod, Stacy D.. Vanderbilt University; Estados Unidos
Fil: Ulmer Holland, Candice. United States Department of Agriculture; Estados Unidos
Fil: Vuckovic, Dajana. Concordia University; Canadá
Fil: Yu, Li-Rong. National Center For Toxicological Research; Estados Unidos. Us Food And Drug Administracion; Estados Unidos
Fil: Zhang, Bo. Olaris Inc; Estados Unidos
Fil: Theodoridis, Georgios. Aristotle University Of Thessaloniki; Grecia
Fil: Mosley, Jonathan D.. Environmental Protection Agency; Estados Unidos
Materia
METABOLOMICS
LC-MS
QUALITY CONTROL
QUALITY ASSURANCE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/229204

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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control SamplesBroeckling, Corey D.Beger, Richard D.Cheng, Leo L.Cumeras, RaquelCuthbertson, Daniel J.Dasari, SurendraDavis, W. ClayDunn, Warwick B.Evans, Anne MarieFernández Ochoa, AlvaroGika, HelenGoodacre, RoystonGoodman, Kelli D.Gouveia, Goncalo J.Hsu, Ping-ChingKirwan, Jennifer A.Kodra, DritanKuligowski, JuliaLan, Renny Shang-LunMonge, Maria EugeniaMoussa, Laura W.Nair, Sindhu G.Reisdorph, NicholeSherrod, Stacy D.Ulmer Holland, CandiceVuckovic, DajanaYu, Li-RongZhang, BoTheodoridis, GeorgiosMosley, Jonathan D.METABOLOMICSLC-MSQUALITY CONTROLQUALITY ASSURANCEhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Untargeted metabolomics is an analytical approach with numerous applications serving as an effective metabolic phenotyping platform to characterize small molecules within a biological system. Data quality can be challenging to evaluate and demonstrate in metabolomics experiments. This has driven the use of pooled quality control (QC) samples for monitoring and, if necessary, correcting for analytical variance introduced during sample preparation and data acquisition stages. Described herein is a scoping literature review detailing the use of pooled QC samples in published untargeted liquid chromatography-mass spectrometry (LC-MS) based metabolomics studies. A literature query was performed, the list of papers was filtered, and suitable articles were randomly sampled. In total, 109 papers were each reviewed by at least five reviewers, answering predefined questions surrounding the use of pooled quality control samples. The results of the review indicate that use of pooled QC samples has been relatively widely adopted by the metabolomics community and that it is used at a similar frequency across biological taxa and sample types in both small- and large-scale studies. However, while many studies generated and analyzed pooled QC samples, relatively few reported the use of pooled QC samples to improve data quality. This demonstrates a clear opportunity for the field to more frequently utilize pooled QC samples for quality reporting, feature filtering, analytical drift correction, and metabolite annotation. Additionally, our survey approach enabled us to assess the ambiguity in the reporting of the methods used to describe the generation and use of pooled QC samples. This analysis indicates that many details of the QC framework are missing or unclear, limiting the reader’s ability to determine which QC steps have been taken. Collectively, these results capture the current state of pooled QC sample usage and highlight existing strengths and deficiencies as they are applied in untargeted LC-MS metabolomics.Fil: Broeckling, Corey D.. State University of Colorado - Fort Collins; Estados UnidosFil: Beger, Richard D.. Us Food And Drug Administracion; Estados UnidosFil: Cheng, Leo L.. Harvard Medical School; Estados UnidosFil: Cumeras, Raquel. Universitat Rovira I Virgili; EspañaFil: Cuthbertson, Daniel J.. Agilent Technologies; Estados UnidosFil: Dasari, Surendra. Mayo Clinic Cancer Center; Estados UnidosFil: Davis, W. Clay. United States Departament Of Commerce. National Institute Of Standars And Technology; Estados UnidosFil: Dunn, Warwick B.. University of Liverpool; Reino UnidoFil: Evans, Anne Marie. Metabolon; Estados UnidosFil: Fernández Ochoa, Alvaro. Universidad de Granada; EspañaFil: Gika, Helen. Aristotle University Of Thessaloniki; GreciaFil: Goodacre, Royston. University of Liverpool; Reino UnidoFil: Goodman, Kelli D.. Metabolon, Inc.; Estados UnidosFil: Gouveia, Goncalo J.. University of Maryland; Estados UnidosFil: Hsu, Ping-Ching. University of Arkansas for Medical Sciences; Estados UnidosFil: Kirwan, Jennifer A.. Berliner Institut Für Gesundheitsforschung; AlemaniaFil: Kodra, Dritan. Aristotle University Of Thessaloniki; GreciaFil: Kuligowski, Julia. Health Research Institute la Fe; EspañaFil: Lan, Renny Shang-Lun. Arkansas Children's Nutrition Center; Estados UnidosFil: Monge, Maria Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Bionanociencias "Elizabeth Jares Erijman"; ArgentinaFil: Moussa, Laura W.. Us Food And Drug Administracion; Estados UnidosFil: Nair, Sindhu G.. University of Alberta; CanadáFil: Reisdorph, Nichole. University Of Colorado Anschutz Medical Campus.; Estados UnidosFil: Sherrod, Stacy D.. Vanderbilt University; Estados UnidosFil: Ulmer Holland, Candice. United States Department of Agriculture; Estados UnidosFil: Vuckovic, Dajana. Concordia University; CanadáFil: Yu, Li-Rong. National Center For Toxicological Research; Estados Unidos. Us Food And Drug Administracion; Estados UnidosFil: Zhang, Bo. Olaris Inc; Estados UnidosFil: Theodoridis, Georgios. Aristotle University Of Thessaloniki; GreciaFil: Mosley, Jonathan D.. Environmental Protection Agency; Estados UnidosAmerican Chemical Society2023-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/229204Broeckling, Corey D.; Beger, Richard D.; Cheng, Leo L.; Cumeras, Raquel; Cuthbertson, Daniel J.; et al.; Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples; American Chemical Society; Analytical Chemistry; 95; 51; 12-2023; 18645-186540003-27001520-6882CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.analchem.3c02924info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.analchem.3c02924info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:48:04Zoai:ri.conicet.gov.ar:11336/229204instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:48:04.648CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples
title Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples
spellingShingle Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples
Broeckling, Corey D.
METABOLOMICS
LC-MS
QUALITY CONTROL
QUALITY ASSURANCE
title_short Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples
title_full Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples
title_fullStr Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples
title_full_unstemmed Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples
title_sort Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples
dc.creator.none.fl_str_mv Broeckling, Corey D.
Beger, Richard D.
Cheng, Leo L.
Cumeras, Raquel
Cuthbertson, Daniel J.
Dasari, Surendra
Davis, W. Clay
Dunn, Warwick B.
Evans, Anne Marie
Fernández Ochoa, Alvaro
Gika, Helen
Goodacre, Royston
Goodman, Kelli D.
Gouveia, Goncalo J.
Hsu, Ping-Ching
Kirwan, Jennifer A.
Kodra, Dritan
Kuligowski, Julia
Lan, Renny Shang-Lun
Monge, Maria Eugenia
Moussa, Laura W.
Nair, Sindhu G.
Reisdorph, Nichole
Sherrod, Stacy D.
Ulmer Holland, Candice
Vuckovic, Dajana
Yu, Li-Rong
Zhang, Bo
Theodoridis, Georgios
Mosley, Jonathan D.
author Broeckling, Corey D.
author_facet Broeckling, Corey D.
Beger, Richard D.
Cheng, Leo L.
Cumeras, Raquel
Cuthbertson, Daniel J.
Dasari, Surendra
Davis, W. Clay
Dunn, Warwick B.
Evans, Anne Marie
Fernández Ochoa, Alvaro
Gika, Helen
Goodacre, Royston
Goodman, Kelli D.
Gouveia, Goncalo J.
Hsu, Ping-Ching
Kirwan, Jennifer A.
Kodra, Dritan
Kuligowski, Julia
Lan, Renny Shang-Lun
Monge, Maria Eugenia
Moussa, Laura W.
Nair, Sindhu G.
Reisdorph, Nichole
Sherrod, Stacy D.
Ulmer Holland, Candice
Vuckovic, Dajana
Yu, Li-Rong
Zhang, Bo
Theodoridis, Georgios
Mosley, Jonathan D.
author_role author
author2 Beger, Richard D.
Cheng, Leo L.
Cumeras, Raquel
Cuthbertson, Daniel J.
Dasari, Surendra
Davis, W. Clay
Dunn, Warwick B.
Evans, Anne Marie
Fernández Ochoa, Alvaro
Gika, Helen
Goodacre, Royston
Goodman, Kelli D.
Gouveia, Goncalo J.
Hsu, Ping-Ching
Kirwan, Jennifer A.
Kodra, Dritan
Kuligowski, Julia
Lan, Renny Shang-Lun
Monge, Maria Eugenia
Moussa, Laura W.
Nair, Sindhu G.
Reisdorph, Nichole
Sherrod, Stacy D.
Ulmer Holland, Candice
Vuckovic, Dajana
Yu, Li-Rong
Zhang, Bo
Theodoridis, Georgios
Mosley, Jonathan D.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv METABOLOMICS
LC-MS
QUALITY CONTROL
QUALITY ASSURANCE
topic METABOLOMICS
LC-MS
QUALITY CONTROL
QUALITY ASSURANCE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Untargeted metabolomics is an analytical approach with numerous applications serving as an effective metabolic phenotyping platform to characterize small molecules within a biological system. Data quality can be challenging to evaluate and demonstrate in metabolomics experiments. This has driven the use of pooled quality control (QC) samples for monitoring and, if necessary, correcting for analytical variance introduced during sample preparation and data acquisition stages. Described herein is a scoping literature review detailing the use of pooled QC samples in published untargeted liquid chromatography-mass spectrometry (LC-MS) based metabolomics studies. A literature query was performed, the list of papers was filtered, and suitable articles were randomly sampled. In total, 109 papers were each reviewed by at least five reviewers, answering predefined questions surrounding the use of pooled quality control samples. The results of the review indicate that use of pooled QC samples has been relatively widely adopted by the metabolomics community and that it is used at a similar frequency across biological taxa and sample types in both small- and large-scale studies. However, while many studies generated and analyzed pooled QC samples, relatively few reported the use of pooled QC samples to improve data quality. This demonstrates a clear opportunity for the field to more frequently utilize pooled QC samples for quality reporting, feature filtering, analytical drift correction, and metabolite annotation. Additionally, our survey approach enabled us to assess the ambiguity in the reporting of the methods used to describe the generation and use of pooled QC samples. This analysis indicates that many details of the QC framework are missing or unclear, limiting the reader’s ability to determine which QC steps have been taken. Collectively, these results capture the current state of pooled QC sample usage and highlight existing strengths and deficiencies as they are applied in untargeted LC-MS metabolomics.
Fil: Broeckling, Corey D.. State University of Colorado - Fort Collins; Estados Unidos
Fil: Beger, Richard D.. Us Food And Drug Administracion; Estados Unidos
Fil: Cheng, Leo L.. Harvard Medical School; Estados Unidos
Fil: Cumeras, Raquel. Universitat Rovira I Virgili; España
Fil: Cuthbertson, Daniel J.. Agilent Technologies; Estados Unidos
Fil: Dasari, Surendra. Mayo Clinic Cancer Center; Estados Unidos
Fil: Davis, W. Clay. United States Departament Of Commerce. National Institute Of Standars And Technology; Estados Unidos
Fil: Dunn, Warwick B.. University of Liverpool; Reino Unido
Fil: Evans, Anne Marie. Metabolon; Estados Unidos
Fil: Fernández Ochoa, Alvaro. Universidad de Granada; España
Fil: Gika, Helen. Aristotle University Of Thessaloniki; Grecia
Fil: Goodacre, Royston. University of Liverpool; Reino Unido
Fil: Goodman, Kelli D.. Metabolon, Inc.; Estados Unidos
Fil: Gouveia, Goncalo J.. University of Maryland; Estados Unidos
Fil: Hsu, Ping-Ching. University of Arkansas for Medical Sciences; Estados Unidos
Fil: Kirwan, Jennifer A.. Berliner Institut Für Gesundheitsforschung; Alemania
Fil: Kodra, Dritan. Aristotle University Of Thessaloniki; Grecia
Fil: Kuligowski, Julia. Health Research Institute la Fe; España
Fil: Lan, Renny Shang-Lun. Arkansas Children's Nutrition Center; Estados Unidos
Fil: Monge, Maria Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Investigaciones en Bionanociencias "Elizabeth Jares Erijman"; Argentina
Fil: Moussa, Laura W.. Us Food And Drug Administracion; Estados Unidos
Fil: Nair, Sindhu G.. University of Alberta; Canadá
Fil: Reisdorph, Nichole. University Of Colorado Anschutz Medical Campus.; Estados Unidos
Fil: Sherrod, Stacy D.. Vanderbilt University; Estados Unidos
Fil: Ulmer Holland, Candice. United States Department of Agriculture; Estados Unidos
Fil: Vuckovic, Dajana. Concordia University; Canadá
Fil: Yu, Li-Rong. National Center For Toxicological Research; Estados Unidos. Us Food And Drug Administracion; Estados Unidos
Fil: Zhang, Bo. Olaris Inc; Estados Unidos
Fil: Theodoridis, Georgios. Aristotle University Of Thessaloniki; Grecia
Fil: Mosley, Jonathan D.. Environmental Protection Agency; Estados Unidos
description Untargeted metabolomics is an analytical approach with numerous applications serving as an effective metabolic phenotyping platform to characterize small molecules within a biological system. Data quality can be challenging to evaluate and demonstrate in metabolomics experiments. This has driven the use of pooled quality control (QC) samples for monitoring and, if necessary, correcting for analytical variance introduced during sample preparation and data acquisition stages. Described herein is a scoping literature review detailing the use of pooled QC samples in published untargeted liquid chromatography-mass spectrometry (LC-MS) based metabolomics studies. A literature query was performed, the list of papers was filtered, and suitable articles were randomly sampled. In total, 109 papers were each reviewed by at least five reviewers, answering predefined questions surrounding the use of pooled quality control samples. The results of the review indicate that use of pooled QC samples has been relatively widely adopted by the metabolomics community and that it is used at a similar frequency across biological taxa and sample types in both small- and large-scale studies. However, while many studies generated and analyzed pooled QC samples, relatively few reported the use of pooled QC samples to improve data quality. This demonstrates a clear opportunity for the field to more frequently utilize pooled QC samples for quality reporting, feature filtering, analytical drift correction, and metabolite annotation. Additionally, our survey approach enabled us to assess the ambiguity in the reporting of the methods used to describe the generation and use of pooled QC samples. This analysis indicates that many details of the QC framework are missing or unclear, limiting the reader’s ability to determine which QC steps have been taken. Collectively, these results capture the current state of pooled QC sample usage and highlight existing strengths and deficiencies as they are applied in untargeted LC-MS metabolomics.
publishDate 2023
dc.date.none.fl_str_mv 2023-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/229204
Broeckling, Corey D.; Beger, Richard D.; Cheng, Leo L.; Cumeras, Raquel; Cuthbertson, Daniel J.; et al.; Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples; American Chemical Society; Analytical Chemistry; 95; 51; 12-2023; 18645-18654
0003-2700
1520-6882
CONICET Digital
CONICET
url http://hdl.handle.net/11336/229204
identifier_str_mv Broeckling, Corey D.; Beger, Richard D.; Cheng, Leo L.; Cumeras, Raquel; Cuthbertson, Daniel J.; et al.; Current Practices in LC-MS Untargeted Metabolomics: A Scoping Review on the Use of Pooled Quality Control Samples; American Chemical Society; Analytical Chemistry; 95; 51; 12-2023; 18645-18654
0003-2700
1520-6882
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/10.1021/acs.analchem.3c02924
info:eu-repo/semantics/altIdentifier/doi/10.1021/acs.analchem.3c02924
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Chemical Society
publisher.none.fl_str_mv American Chemical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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