Meta data _ Team Pub.xlsx

To assess team composition, we used an existing dataset of survey responses collected from NSF science teams (Settles et al. 2019; https://doi.org/10.3886/E105622V1). Teams and participants were identified using the NSF database of awards (National Science Foundation 2020). We identified a total of 1,727 individuals from 229 interdisciplinary research teams in this database and invited them to participate in an online survey regarding perceptions of team composition (Settles et al. 2019). We included only teams in which two or more individuals participated in the survey in this current dataset (for a total of 50 teams comprised of 182 individuals). To protect the identities of research participants, only team-level variables are shared here.   

To determine team bibliometrics, we collected publication information from the NSF online database, including all peer-reviewed scientific journal articles published by the teams and reported on NSF annual reports through 2019. For publication productivity, we used the number of years that each team received grant funding from NSF to calculate an average rate of publications per funding year (i.e., mean number of publications per funding year). For publication impact, we used the InCites Journal Citation Reports database to obtain journal impact factors for each article in the year of publication (Clarivate 2020) and calculated an average impact factor for each team (i.e., mean journal impact factor).