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

被引:2
|
作者
Velasco-Lopez, Jorge-Eusebio [1 ]
Carrasco, Ramon-Alberto [1 ]
Cobo, Manuel J. [2 ]
Fernandez-Aviles, Gema [3 ]
机构
[1] Univ Complutense Madrid, Fac Estudios Estadist, Avda Puerta Hierro s-n, Madrid 28040, Spain
[2] Univ Granada, Inst Andaluz Interuniv Ciencia Datos & Inteligenc, Periodista Daniel Saucedo Aranda s-n, Granada 18071, Spain
[3] Univ Castilla La Mancha, Fac Ciencias Juridicas & Sociales Toledo, San Pedro Martir s-n, Toledo 45071, Spain
来源
PROFESIONAL DE LA INFORMACION | 2023年 / 32卷 / 03期
关键词
Official statistics; Co-word analysis; Strategic diagram; Science mapping analysis; Bibliometric analysis; SciMAT; MORTALITY; SCIENCE; DISORDERS; DISEASE; ENGLAND; GROWTH; BRAIN; LEVEL; WALES; FIELD;
D O I
10.3145/epi.2023.may.14
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
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.
引用
收藏
页数:17
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