2021
DOI: 10.1162/qss_a_00097
|View full text |Cite
|
Sign up to set email alerts
|

Investigating the division of scientific labor using the Contributor Roles Taxonomy (CRediT)

Abstract: Contributorship statements were introduced by scholarly journals in the late 1990s to provide more details on the specific contributions made by authors to research papers. After more than a decade of idiosyncratic taxonomies by journals, a partnership between medical journals and standards organizations has led to the establishment, in 2015, of the Contributor Roles Taxonomy (CRediT), which provides a standardized set of 14 research contributions. Using the data from Public Library of Science (PLOS) journals … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
40
0
1

Year Published

2021
2021
2024
2024

Publication Types

Select...
7
2
1

Relationship

1
9

Authors

Journals

citations
Cited by 50 publications
(45 citation statements)
references
References 73 publications
(86 reference statements)
0
40
0
1
Order By: Relevance
“…In addition, the effects of data-intensive research on careers should be monitored for their outcomes regarding equity. Studies of authorship contributions to publications have found a clear gender divide [ 158 ]. Women are more likely to contribute to the investigation, data curation or writing of the original draft, whereas men are more likely to contribute to tasks associated with seniority (supervision, funding acquisition, resources).…”
Section: Resultsmentioning
confidence: 99%
“…In addition, the effects of data-intensive research on careers should be monitored for their outcomes regarding equity. Studies of authorship contributions to publications have found a clear gender divide [ 158 ]. Women are more likely to contribute to the investigation, data curation or writing of the original draft, whereas men are more likely to contribute to tasks associated with seniority (supervision, funding acquisition, resources).…”
Section: Resultsmentioning
confidence: 99%
“…Our data consist of 5,431,451 articles indexed in the Web of Science (WOS) database and 1,609,107 distinct US first authors. We focus on first authors, as they are generally those who have contributed the most to an article ( 53 , 54 ) and represent the most visible name in bibliographic references. The metadata includes authors’ given and family names, which are used to infer race and gender.…”
Section: Methodsmentioning
confidence: 99%
“…They are much more frequently affected by harassment (National Academies of Sciences, Engineering, and Medicine 2018), both because of their gender or sexual orientation (Hughes 2018). Women are also systematically less cited (Larivière et al 2013, Bendels et al 2018 or less credited for their work (Handley et al 2015), and the division of labor in scientific work (and subsequent publications) usually undermine the contribution of women and other minorities (Larivière et al 2020). All the beforementioned result in a lower inclusion of women in collaboration networks, especially those led by men (Araújo et al 2017).…”
mentioning
confidence: 99%