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 tha...

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Detalhes bibliográficos
Autor: Fernández-Avilés Calderón, Gema
Formato: artículo
Fecha de publicación:2023
País:España
Recursos:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/40566
Acesso em linha:http://dx.doi.org/10.3145/epi.2023.may.14
https://hdl.handle.net/10578/40566
Access Level:acceso abierto
Palavra-chave:Bibliometric analysis
Co-word analysis
Data
Indicators
Official statistics
Science mapping analysis
SciMAT
Scopus
Strategic diagram
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spelling Data-driven scientific research based on public statistics: a bibliometric perspectiveFernández-Avilés Calderón, GemaBibliometric analysisCo-word analysisDataIndicatorsOfficial statisticsScience mapping analysisSciMATScopusStrategic diagramOfficial 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.El Profesional de la información202520252023info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://dx.doi.org/10.3145/epi.2023.may.14https://hdl.handle.net/10578/40566reponame:RUIdeRA. Repositorio Institucional de la UCLMinstname:Universidad de Castilla-La ManchaInglésinfo:eu-repo/semantics/openAccessoai:ruidera.uclm.es:10578/405662026-05-27T07:36:41Z
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
Fernández-Avilés Calderón, Gema
Bibliometric analysis
Co-word analysis
Data
Indicators
Official statistics
Science mapping analysis
SciMAT
Scopus
Strategic diagram
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 Fernández-Avilés Calderón, Gema
author Fernández-Avilés Calderón, Gema
author_facet Fernández-Avilés Calderón, Gema
author_role author
dc.subject.none.fl_str_mv Bibliometric analysis
Co-word analysis
Data
Indicators
Official statistics
Science mapping analysis
SciMAT
Scopus
Strategic diagram
topic Bibliometric analysis
Co-word analysis
Data
Indicators
Official statistics
Science mapping analysis
SciMAT
Scopus
Strategic diagram
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
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://dx.doi.org/10.3145/epi.2023.may.14
https://hdl.handle.net/10578/40566
url http://dx.doi.org/10.3145/epi.2023.may.14
https://hdl.handle.net/10578/40566
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv El Profesional de la información
publisher.none.fl_str_mv El Profesional de la información
dc.source.none.fl_str_mv reponame:RUIdeRA. Repositorio Institucional de la UCLM
instname:Universidad de Castilla-La Mancha
instname_str Universidad de Castilla-La Mancha
reponame_str RUIdeRA. Repositorio Institucional de la UCLM
collection RUIdeRA. Repositorio Institucional de la UCLM
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869418966488711168
score 15,812455

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