Investigating the delay times in academic publishing: An empirical study on publishing delay times in academic journals

Detalhes bibliográficos
Autor(a) principal: Kokes, Oguz
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/149858
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
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spelling Investigating the delay times in academic publishing: An empirical study on publishing delay times in academic journalsAcademic publicationPublishing delayPublishing delay timesDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceThe aim of this study is to analyze the differences in article publishing delay times from different perspectives. Previous works on the topic suggest there are significant differences between article publication times, which has a direct effect on the author’s personal and professional life. However, as the required dates for the analysis are not available in article databases, the works on the topic are limited to certain publishers/databases. Using the entire Scimago Journal Ranking Q1 journal pool, this study creates a representative and comprehensive article dataset, containing submittance, acceptance and publication dates for over 200,000 sampled articles from 27 different subject areas between 2010-2020. This allows publishing delay times to be analyzed from different perspectives and offers a baseline for any future studies. The study shows clear delay time differences between subject areas. The shortest delay time occurs in Life Sciences articles, with an average delay of 6 months, three times quicker overall than Social Sciences articles. Publication year analysis shows that while delay times are improving over time, this improvement is coming from acceptance to publication time delay, driven by the increase of digital publications. Delay times do not show the same improvement for the more problematic submission to acceptance delay, highlighting the reviewing process. Open Access journals offer an alternative to the traditional publications, and are faster overall, however their performances started to stagnate as number of publications increased each year. Author affiliated country data is not balanced, and the dataset is dominated by submissions from certain countries, namely United States, China, United Kingdom, and Germany, indicating these countries’ overall dominance on the scientific domain. However, matching analysis shows that an affiliated county’s “Global North vs. South”, “English as first language”, and “G7 membership” status do not play a significant role in their subsequent delay times, indicating a fair refereeing.Damásio, Bruno Miguel PintoRUNKokes, Oguz2023-03-01T18:03:35Z2023-01-262023-01-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/149858TID:203239946enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:31:44Zoai:run.unl.pt:10362/149858Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:53.507724Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Investigating the delay times in academic publishing: An empirical study on publishing delay times in academic journals
title Investigating the delay times in academic publishing: An empirical study on publishing delay times in academic journals
spellingShingle Investigating the delay times in academic publishing: An empirical study on publishing delay times in academic journals
Kokes, Oguz
Academic publication
Publishing delay
Publishing delay times
title_short Investigating the delay times in academic publishing: An empirical study on publishing delay times in academic journals
title_full Investigating the delay times in academic publishing: An empirical study on publishing delay times in academic journals
title_fullStr Investigating the delay times in academic publishing: An empirical study on publishing delay times in academic journals
title_full_unstemmed Investigating the delay times in academic publishing: An empirical study on publishing delay times in academic journals
title_sort Investigating the delay times in academic publishing: An empirical study on publishing delay times in academic journals
author Kokes, Oguz
author_facet Kokes, Oguz
author_role author
dc.contributor.none.fl_str_mv Damásio, Bruno Miguel Pinto
RUN
dc.contributor.author.fl_str_mv Kokes, Oguz
dc.subject.por.fl_str_mv Academic publication
Publishing delay
Publishing delay times
topic Academic publication
Publishing delay
Publishing delay times
description Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data Science
publishDate 2023
dc.date.none.fl_str_mv 2023-03-01T18:03:35Z
2023-01-26
2023-01-26T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/149858
TID:203239946
url http://hdl.handle.net/10362/149858
identifier_str_mv TID:203239946
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
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instacron:RCAAP
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