Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Luiz Augusto Campos & Candido, Marcia. (2022). Transparency in DADOS: submissions, reviewers, and editorial workflow diversity in recent years. Dados: Revista de Ciências Sociais.
Exportar Referência (IEEE) 
L. A. Campos and M. R. Candido,  "Transparency in DADOS: submissions, reviewers, and editorial workflow diversity in recent years", in Dados: Revista de Ciências Sociais, 2022
Exportar BibTeX 
@null{campos2022_1775424352884,
	year = "2022",
	url = "https://www.scielo.br/j/dados/a/fkNyxDzMRBx4RmyGkGtnVkJ/?format=pdf&lang=pt"
}
Exportar RIS 
TY  - GEN
TI  - Transparency in DADOS: submissions, reviewers, and editorial workflow diversity in recent years
T2  - Dados: Revista de Ciências Sociais
AU  - Luiz Augusto Campos
AU  - Candido, Marcia.
PY  - 2022
SN  - 0011-5258
UR  - https://www.scielo.br/j/dados/a/fkNyxDzMRBx4RmyGkGtnVkJ/?format=pdf&lang=pt
AB  - This editorial discusses general data concerning the manuscripts workflow of
DADOS, and the challenges faced by the journal in the last few years. It presents a
scientometric analysis of several dimensions of the periodical’s workflow, ranging
from submissions to the profile of reviews and reviewers also addressing persisting
gender and spatial inequalities and the journal’s different impact metrics. The
work aims to ensure greater transparency in editorial processes without losing
sight of the discretion criteria that underly our anonymous peer-review system.
Besides, our goal is to share the strategies employed to overcome obstacles faced
by science communication in Brazil in the hope that they may work as instruments
of resistance against the many and recurring crises faced by other national and
international scientific journals.
ER  -