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dc.contributor.authorVelasco López, Jorge Eusebio
dc.contributor.authorCobo Martín, Manuel Jesús 
dc.date.accessioned2023-11-13T12:09:27Z
dc.date.available2023-11-13T12:09:27Z
dc.date.issued2023-05-30
dc.identifier.citationVelasco-López, J.-E. ., Carrasco, R.-A., Cobo, M. J., & Fernández-Avilés, G. . (2023). Data-driven scientific research based on public statistics: a bibliometric perspective. Profesional De La información Information Professional, 32(3). [https://doi.org/10.3145/epi.2023.may.14]es_ES
dc.identifier.urihttps://hdl.handle.net/10481/85630
dc.description.abstractOfficial 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.es_ES
dc.description.sponsorship- Spanish State Research Agency through project PID2019-105381GA-I00/AEI/10.13039/501100011033 (iScience)es_ES
dc.description.sponsorshipUniversity of Castilla-La Mancha, Faculty of Law and Social Science at Toledo, Code: 00440710es_ES
dc.language.isoenges_ES
dc.publisherSclmagoes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectOfficial statisticses_ES
dc.subjectDataes_ES
dc.subjectIndicatorses_ES
dc.subjectCo-word analysis,es_ES
dc.subjectStrategic diagrames_ES
dc.subjectScience mapping analysises_ES
dc.subjectBibliometric analysises_ES
dc.subjectSciMATes_ES
dc.subjectScopuses_ES
dc.titleData-driven scientific research based on public statistics: a bibliometric perspectivees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3145/epi.2023.may.14
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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