Working groups, gender and publication impact of Canada’s ecology and evolution faculty

Working groups are recognized as a highly effective method for synthesizing science. It is less clear if participating in working groups benefits individual researchers, or if benefits differ between men and women. This is a critical question, for the working group method is not sustainable if the benefit to science comes at a cost to academic careers or gender equity. Here, we analyze the publications of Canadian university faculty specialized in ecology and evolution (N=1244), a field that has embraced the working group method. Researchers were more likely to have participated in a working group as their academic age and prior H-index increased, but controlling for these factors there was no effect of gender. Using a longitudinal analysis, we find that researcher H-indices accrue 14% faster following their first working group publication, regardless of gender. Part of this acceleration may be the 3- to 5-fold higher citation rate of working group synthesis publications. In a survey (N..., We compiled information on 1,244 faculty members at Canadian universities who were funded by a NSERC Discovery grant (Evolution and Ecology subcommittee) between 1991 and 2019. This information included assumed binary gender from first names and institutional website use of pronouns and photographs (coded men, women); we acknowledge that we may have mis-assigned gender or failed to notice non-binary, transitional or fluid gender identities. We also collected information on the researcher’s year of PhD and all institutions they were affiliated with during their research career. This information was obtained from public curriculum vitae, institutional websites, personally-maintained researcher websites, academic networking platforms (LinkedIn, Research Gate), Google Scholar, and other public sources such as obituaries. For each researcher, we reconstructed their H-index through time using (1) a compiled list of their peer-reviewed publications and (2) the citations for each publication, f..., , # Data from: \"Working groups, gender and publication impact of Canada’s ecology and evolution faculty\"

## Description of the Data and file structure

This readme file describes the (1) scripts and (2) datafiles included in this repository. Missing data in data files are indicated as NA. All data files are in .csv format meaning that “,” is used as the separator.

# (1) Scripts

## paper\_analysis.do:

This do file is written using Stata 18.0.
This script analyses whether working group (WG) experience has a significant impact on researchers' Hindex progression and whether this benefit or WG participation is gendered.

Input: researcher_database.csv
Output: Table 1, Table 2, Figure 1(a) (b) (c), Figure 3(a) (b)

## SSS\_citations\_public.R:

This script is written in the programming language R.
The script analyses the effect of research type and research method on the citations of publications using generalized linear models.
The script also plots this data.

Input: syn_sc_socio_public_...