Informetrics and discourse analysis applied to scientific production in Data Science and Information Science

 

Đã lưu trong:
Chi tiết về thư mục
Tác giả: Martínez Musiño, Celso
Định dạng: artículo original
Trạng thái:Versión publicada
Ngày xuất bản:2021
Miêu tả:Objective. To research scientific production at the thematic intersection of Data Science (DS) and Information Science (IS). Method. Informetric, descriptive study, and of first incursion, in the analysis of the written discourse of the academic texts included in the Web of Science (WoS), period 1900 to November 6, 2020, and coverage in the databases: SCI-Expanded, SSCI, A & HCI, ESCI, CPCI-S, CPCI-SSH, BKCI-S and BKCI-SSH. Results. 49 documents represented in 38 articles, 7 conference memoires, 2 book chapters and 2 editorial materials were retrieved and analyzed. The set of investigations that deal with the subject of DS and IS added 128 citations, 2.6 citations per document and H index: 7. Discussion. Conceptually, it was found that for DS and IS their origin is the “data” and that both disciplines are predominantly practical. In those investigations with greater visibility there are more than an author. DS and IS are recent areas of knowledge in which information technologies are indispensable for the analysis of large amounts of data and information. Conclusions. DS and IS have an intra- and multi and transdisciplinary character and they are characterized by the use of information technologies for the analysis of large amounts of data and information.
Quốc gia:Portal de Revistas UCR
Tổ chức giáo dục:Universidad de Costa Rica
Repositorio:Portal de Revistas UCR
Ngôn ngữ:Español
OAI Identifier:oai:portal.ucr.ac.cr:article/45234
Truy cập trực tuyến:https://revistas.ucr.ac.cr/index.php/eciencias/article/view/45234
Từ khóa:Data science
Information sciences
Informetrics
Written Speech Analysis
Ciencia de datos
Ciencias de la información
Informetría
Análisis del discurso escrito