Document level disaggregated data about evaluation and publication delay in Ibero-American scientific journals (2018-2020)

Document level disaggregated data of the review, acceptance and publication dates of a sample of 21890 articles from 326 Ibero-American scientific journals from all subject areas and countries included in the Latindex Catalogue 2.0 and published between 2018 and 2020. The variable included are: document identifier; identifier of the journal section in which the document was include; literal of journal section in which the document was include; source data; year of the publication of the article; reception date of the article; acceptance date of the article; publication date of the article; days between reception date and acceptance date; days between acceptance date and publication date; days between reception date and publication date; identifier of the country/region of the journal; literal of the country/region of the journal; subject area identifier; subject area literal; journal periodicity identifier; journal periodicity; journal identifier; ISSN; journal title. Descripción: Document level disaggregated dataset about evaluation and publication delay in Ibero-Aamerican scientific journals (2018-2020). This dataset has a Creative Commons BY-NC-SA 4.0 licence

Data and Resources

Interoperability


Groups


Additional Info

Field Value
Identifier https://doi.org/10.20350/digitalCSIC/14628
Author
Name Document level disaggregated data about evaluation and publication delay in Ibero-American scientific journals (2018-2020)
Themes Science and technology
Tags
Creation date 2022-05-10
Languages
  • Spanish
  • English
Geographic coverage (International) Latin America
Time coverage
  • From 2018-01-01 to 2020-12-31
Related resources
Institute
Publisher Publicador - Digital.CSIC
Observations

Recommended citation : González-Albo, Borja; Zabala Vázquez, Jon; Abejón Peña, Teresa; 2022; Document level disaggregated data about evaluation and publication delay in Ibero-American scientific journals (2018-2020) [DATASET]; DIGITAL.CSIC; https://doi.org/10.20350/digitalCSIC/14628