Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects

Autores
Stockhause, Martina; Huard, David; Al Khourdajie, Alaa; Gutiérrez, José M.; Kawamiya, Michio; Klutse, Nana Ama Browne; Krey, Volker; Milward, David; Okem, Andrew E.; Pirani, Anna; Sitz, Lina E.; Solman, Silvina Alicia; Spinuso, Alessandro; Xing, Xiaoshi
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Every five to seven years, the Intergovernmental Panel on Climate Change (IPCC) con-venes the climate science community to assess the latest knowledge on climate change rel-evant to policy-makers. This generally takes the form of Assessment Reports (AR) coveringthe scientific basis of climate change, its impacts and future risks, and options for adaptationand mitigation. With each cycle, these reports have grown in scope, length, number of refer-enced papers, and underpinning datasets. During the sixth assessment cycle, a large-scalecollective effort went into archiving digital products assessed and generated through theIPCC process. The main objectives driving this initiative are making IPCC’s work moretransparent, improving the reproducibility and reusability of the assessment outcomes, bet-ter utilization of the services of the IPCC Data Distribution Centre (DDC), and, more gener-ally, compliance with best practices in open science. This paper expands on the motivationsfor the curation and preservation of digital objects in the IPCC. It gives an overview of howFAIR (Findable, Accessible, Interoperable, Reusable) and open data principles have beenimplemented in practice and explores some of the successes and setbacks of the AR6experience. It concludes with recommendations for consolidation and expansion of theapproach for AR7. These include a tighter integration of digital curation activities in the IPCCtimeline and workflows, better support of IPCC authors and contributors through early train-ing and use of suitable software, improved standardization and harmonization of data and software handling across Working Groups (WGs), and close collaboration with key externaldata providers and research organizations.
Fil: Stockhause, Martina. No especifíca;
Fil: Huard, David. No especifíca;
Fil: Al Khourdajie, Alaa. No especifíca;
Fil: Gutiérrez, José M.. Universidad de Cantabria; España
Fil: Kawamiya, Michio. Tohoku University; Japón
Fil: Klutse, Nana Ama Browne. University Of Ghana; Ghana
Fil: Krey, Volker. No especifíca;
Fil: Milward, David. No especifíca;
Fil: Okem, Andrew E.. No especifíca;
Fil: Pirani, Anna. Universidad de Cantabria; España
Fil: Sitz, Lina E.. Universidad de Cantabria; España
Fil: Solman, Silvina Alicia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Spinuso, Alessandro. No especifíca;
Fil: Xing, Xiaoshi. Columbia University; Estados Unidos
Materia
TG DATA
IPCC
FAIR DATA
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/272105
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospectsStockhause, MartinaHuard, DavidAl Khourdajie, AlaaGutiérrez, José M.Kawamiya, MichioKlutse, Nana Ama BrowneKrey, VolkerMilward, DavidOkem, Andrew E.Pirani, AnnaSitz, Lina E.Solman, Silvina AliciaSpinuso, AlessandroXing, XiaoshiTG DATAIPCCFAIR DATAhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Every five to seven years, the Intergovernmental Panel on Climate Change (IPCC) con-venes the climate science community to assess the latest knowledge on climate change rel-evant to policy-makers. This generally takes the form of Assessment Reports (AR) coveringthe scientific basis of climate change, its impacts and future risks, and options for adaptationand mitigation. With each cycle, these reports have grown in scope, length, number of refer-enced papers, and underpinning datasets. During the sixth assessment cycle, a large-scalecollective effort went into archiving digital products assessed and generated through theIPCC process. The main objectives driving this initiative are making IPCC’s work moretransparent, improving the reproducibility and reusability of the assessment outcomes, bet-ter utilization of the services of the IPCC Data Distribution Centre (DDC), and, more gener-ally, compliance with best practices in open science. This paper expands on the motivationsfor the curation and preservation of digital objects in the IPCC. It gives an overview of howFAIR (Findable, Accessible, Interoperable, Reusable) and open data principles have beenimplemented in practice and explores some of the successes and setbacks of the AR6experience. It concludes with recommendations for consolidation and expansion of theapproach for AR7. These include a tighter integration of digital curation activities in the IPCCtimeline and workflows, better support of IPCC authors and contributors through early train-ing and use of suitable software, improved standardization and harmonization of data and software handling across Working Groups (WGs), and close collaboration with key externaldata providers and research organizations.Fil: Stockhause, Martina. No especifíca;Fil: Huard, David. No especifíca;Fil: Al Khourdajie, Alaa. No especifíca;Fil: Gutiérrez, José M.. Universidad de Cantabria; EspañaFil: Kawamiya, Michio. Tohoku University; JapónFil: Klutse, Nana Ama Browne. University Of Ghana; GhanaFil: Krey, Volker. No especifíca;Fil: Milward, David. No especifíca;Fil: Okem, Andrew E.. No especifíca;Fil: Pirani, Anna. Universidad de Cantabria; EspañaFil: Sitz, Lina E.. Universidad de Cantabria; EspañaFil: Solman, Silvina Alicia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Spinuso, Alessandro. No especifíca;Fil: Xing, Xiaoshi. Columbia University; Estados UnidosPublic Library of Science2024-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/272105Stockhause, Martina; Huard, David; Al Khourdajie, Alaa; Gutiérrez, José M.; Kawamiya, Michio; et al.; Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects; Public Library of Science; PLOS Climate; 3; 12; 12-2024; 1-152767-3200CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://dx.plos.org/10.1371/journal.pclm.0000533info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pclm.0000533info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:57:27Zoai:ri.conicet.gov.ar:11336/272105instacron: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:34982025-10-15 14:57:27.43CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects
title Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects
spellingShingle Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects
Stockhause, Martina
TG DATA
IPCC
FAIR DATA
title_short Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects
title_full Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects
title_fullStr Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects
title_full_unstemmed Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects
title_sort Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects
dc.creator.none.fl_str_mv Stockhause, Martina
Huard, David
Al Khourdajie, Alaa
Gutiérrez, José M.
Kawamiya, Michio
Klutse, Nana Ama Browne
Krey, Volker
Milward, David
Okem, Andrew E.
Pirani, Anna
Sitz, Lina E.
Solman, Silvina Alicia
Spinuso, Alessandro
Xing, Xiaoshi
author Stockhause, Martina
author_facet Stockhause, Martina
Huard, David
Al Khourdajie, Alaa
Gutiérrez, José M.
Kawamiya, Michio
Klutse, Nana Ama Browne
Krey, Volker
Milward, David
Okem, Andrew E.
Pirani, Anna
Sitz, Lina E.
Solman, Silvina Alicia
Spinuso, Alessandro
Xing, Xiaoshi
author_role author
author2 Huard, David
Al Khourdajie, Alaa
Gutiérrez, José M.
Kawamiya, Michio
Klutse, Nana Ama Browne
Krey, Volker
Milward, David
Okem, Andrew E.
Pirani, Anna
Sitz, Lina E.
Solman, Silvina Alicia
Spinuso, Alessandro
Xing, Xiaoshi
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv TG DATA
IPCC
FAIR DATA
topic TG DATA
IPCC
FAIR DATA
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Every five to seven years, the Intergovernmental Panel on Climate Change (IPCC) con-venes the climate science community to assess the latest knowledge on climate change rel-evant to policy-makers. This generally takes the form of Assessment Reports (AR) coveringthe scientific basis of climate change, its impacts and future risks, and options for adaptationand mitigation. With each cycle, these reports have grown in scope, length, number of refer-enced papers, and underpinning datasets. During the sixth assessment cycle, a large-scalecollective effort went into archiving digital products assessed and generated through theIPCC process. The main objectives driving this initiative are making IPCC’s work moretransparent, improving the reproducibility and reusability of the assessment outcomes, bet-ter utilization of the services of the IPCC Data Distribution Centre (DDC), and, more gener-ally, compliance with best practices in open science. This paper expands on the motivationsfor the curation and preservation of digital objects in the IPCC. It gives an overview of howFAIR (Findable, Accessible, Interoperable, Reusable) and open data principles have beenimplemented in practice and explores some of the successes and setbacks of the AR6experience. It concludes with recommendations for consolidation and expansion of theapproach for AR7. These include a tighter integration of digital curation activities in the IPCCtimeline and workflows, better support of IPCC authors and contributors through early train-ing and use of suitable software, improved standardization and harmonization of data and software handling across Working Groups (WGs), and close collaboration with key externaldata providers and research organizations.
Fil: Stockhause, Martina. No especifíca;
Fil: Huard, David. No especifíca;
Fil: Al Khourdajie, Alaa. No especifíca;
Fil: Gutiérrez, José M.. Universidad de Cantabria; España
Fil: Kawamiya, Michio. Tohoku University; Japón
Fil: Klutse, Nana Ama Browne. University Of Ghana; Ghana
Fil: Krey, Volker. No especifíca;
Fil: Milward, David. No especifíca;
Fil: Okem, Andrew E.. No especifíca;
Fil: Pirani, Anna. Universidad de Cantabria; España
Fil: Sitz, Lina E.. Universidad de Cantabria; España
Fil: Solman, Silvina Alicia. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Spinuso, Alessandro. No especifíca;
Fil: Xing, Xiaoshi. Columbia University; Estados Unidos
description Every five to seven years, the Intergovernmental Panel on Climate Change (IPCC) con-venes the climate science community to assess the latest knowledge on climate change rel-evant to policy-makers. This generally takes the form of Assessment Reports (AR) coveringthe scientific basis of climate change, its impacts and future risks, and options for adaptationand mitigation. With each cycle, these reports have grown in scope, length, number of refer-enced papers, and underpinning datasets. During the sixth assessment cycle, a large-scalecollective effort went into archiving digital products assessed and generated through theIPCC process. The main objectives driving this initiative are making IPCC’s work moretransparent, improving the reproducibility and reusability of the assessment outcomes, bet-ter utilization of the services of the IPCC Data Distribution Centre (DDC), and, more gener-ally, compliance with best practices in open science. This paper expands on the motivationsfor the curation and preservation of digital objects in the IPCC. It gives an overview of howFAIR (Findable, Accessible, Interoperable, Reusable) and open data principles have beenimplemented in practice and explores some of the successes and setbacks of the AR6experience. It concludes with recommendations for consolidation and expansion of theapproach for AR7. These include a tighter integration of digital curation activities in the IPCCtimeline and workflows, better support of IPCC authors and contributors through early train-ing and use of suitable software, improved standardization and harmonization of data and software handling across Working Groups (WGs), and close collaboration with key externaldata providers and research organizations.
publishDate 2024
dc.date.none.fl_str_mv 2024-12
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/11336/272105
Stockhause, Martina; Huard, David; Al Khourdajie, Alaa; Gutiérrez, José M.; Kawamiya, Michio; et al.; Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects; Public Library of Science; PLOS Climate; 3; 12; 12-2024; 1-15
2767-3200
CONICET Digital
CONICET
url http://hdl.handle.net/11336/272105
identifier_str_mv Stockhause, Martina; Huard, David; Al Khourdajie, Alaa; Gutiérrez, José M.; Kawamiya, Michio; et al.; Implementing FAIR data principles in the IPCC seventh assessment cycle: Lessons learned and future prospects; Public Library of Science; PLOS Climate; 3; 12; 12-2024; 1-15
2767-3200
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://dx.plos.org/10.1371/journal.pclm.0000533
info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pclm.0000533
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
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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score 13.22299

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