2026-06-27T10:49:40Zhttps://docta.ucm.es/rest/oai/request

oai:docta.ucm.es:20.500.14352/1141912025-03-18T13:40:19Zcom_20.500.14352_14col_20.500.14352_15

Velasco-López, José Eusebio Carrasco González, Ramón Alberto Cobo, Manuel J. Fernández-Avilés, Gema 2025-01-14T10:18:24Z 2025-01-14T10:18:24Z 2023 Velasco-López, Jorge-Eusebio; Carrasco, Ramón-Alberto; Cobo, Manuel J.; Fernández-Avilés, Gema (2023). “Data driven scientific research based on public statistics: a bibliometric perspective”. Profesional de la información, v. 32, n. 3, e320314. https://doi.org/10.3145/epi.2023.may.14 10.3145/epi.2023.may.14 https://hdl.handle.net/20.500.14352/114191 https://doi.org/10.3145/epi.2023.may.14 https://revista.profesionaldelainformacion.com/index.php/EPI/article/view/87085 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. eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 International Data-driven scientific research based on public statistics: a bibliometric perspective journal article