Data-driven scientific research based on public statistics: a bibliometric perspective

Official statistics provide information on different areas of citizens’ lives and are widely used in scientific research as a source of data due to their open data nature and quality assurance. In this context, a bibliometric analysis is carried out using all Scopus publications from 1960 to 2020 th...

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Detalhes bibliográficos
Autores: Velasco-López, José Eusebio, Carrasco González, Ramón Alberto, Cobo, Manuel J., Fernández-Avilés, Gema
Tipo de documento: artigo
Data de publicação:2023
País:España
Recursos:Universidad Complutense de Madrid (UCM)
Repositório:Docta Complutense
Idioma:inglês
OAI Identifier:oai:docta.ucm.es:20.500.14352/114191
Acesso em linha:https://hdl.handle.net/20.500.14352/114191
Access Level:Acceso aberto
Palavra-chave:024.5:519.23
001.8
Official statistics
Co-word analysis
Strategic diagram
Science mapping analysis
Bibliometric analysis
SciMAT
Estadística aplicada
Bibliometría
1209 Estadística
1207.01 Análisis de Actividades
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oai_identifier_str oai:docta.ucm.es:20.500.14352/114191
network_acronym_str ES
network_name_str España
repository_id_str
spelling Data-driven scientific research based on public statistics: a bibliometric perspectiveVelasco-López, José EusebioCarrasco González, Ramón AlbertoCobo, Manuel J.Fernández-Avilés, Gema024.5:519.23001.8Official statisticsCo-word analysisStrategic diagramScience mapping analysisBibliometric analysisSciMATEstadística aplicadaBibliometría1209 Estadística1207.01 Análisis de ActividadesOfficial statistics provide information on different areas of citizens’ lives and are widely used in scientific research as a source of data due to their open data nature and quality assurance. In this context, a bibliometric analysis is carried out using all Scopus publications from 1960 to 2020 that use official statistics as data sources. Thus, 10,777 publications are analyzed using the SciMAT bibliometric analysis software, providing a complete conceptual analysis of the main research topics in the literature through the quantification of the main bibliometric performance indicators, identifying the most important authors, organizations, countries, sources, and intellectual structures corresponding to the main fields of research and bringing classification by subject area as an innovation to the methodology.Ediciones Profesionales de la InformaciónUniversidad Complutense de Madrid20232023-01-0120232023-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/114191reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1141912026-06-02T12:44:21Z
dc.title.none.fl_str_mv Data-driven scientific research based on public statistics: a bibliometric perspective
title Data-driven scientific research based on public statistics: a bibliometric perspective
spellingShingle Data-driven scientific research based on public statistics: a bibliometric perspective
Velasco-López, José Eusebio
024.5:519.23
001.8
Official statistics
Co-word analysis
Strategic diagram
Science mapping analysis
Bibliometric analysis
SciMAT
Estadística aplicada
Bibliometría
1209 Estadística
1207.01 Análisis de Actividades
title_short Data-driven scientific research based on public statistics: a bibliometric perspective
title_full Data-driven scientific research based on public statistics: a bibliometric perspective
title_fullStr Data-driven scientific research based on public statistics: a bibliometric perspective
title_full_unstemmed Data-driven scientific research based on public statistics: a bibliometric perspective
title_sort Data-driven scientific research based on public statistics: a bibliometric perspective
dc.creator.none.fl_str_mv Velasco-López, José Eusebio
Carrasco González, Ramón Alberto
Cobo, Manuel J.
Fernández-Avilés, Gema
author Velasco-López, José Eusebio
author_facet Velasco-López, José Eusebio
Carrasco González, Ramón Alberto
Cobo, Manuel J.
Fernández-Avilés, Gema
author_role author
author2 Carrasco González, Ramón Alberto
Cobo, Manuel J.
Fernández-Avilés, Gema
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 024.5:519.23
001.8
Official statistics
Co-word analysis
Strategic diagram
Science mapping analysis
Bibliometric analysis
SciMAT
Estadística aplicada
Bibliometría
1209 Estadística
1207.01 Análisis de Actividades
topic 024.5:519.23
001.8
Official statistics
Co-word analysis
Strategic diagram
Science mapping analysis
Bibliometric analysis
SciMAT
Estadística aplicada
Bibliometría
1209 Estadística
1207.01 Análisis de Actividades
description Official statistics provide information on different areas of citizens’ lives and are widely used in scientific research as a source of data due to their open data nature and quality assurance. In this context, a bibliometric analysis is carried out using all Scopus publications from 1960 to 2020 that use official statistics as data sources. Thus, 10,777 publications are analyzed using the SciMAT bibliometric analysis software, providing a complete conceptual analysis of the main research topics in the literature through the quantification of the main bibliometric performance indicators, identifying the most important authors, organizations, countries, sources, and intellectual structures corresponding to the main fields of research and bringing classification by subject area as an innovation to the methodology.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-01-01
2023
2023-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/114191
url https://hdl.handle.net/20.500.14352/114191
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Ediciones Profesionales de la Información
publisher.none.fl_str_mv Ediciones Profesionales de la Información
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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