Dataset Information

Task specialization across research careers.

ABSTRACT: Research careers are typically envisioned as a single path in which a scientist starts as a member of a team working under the guidance of one or more experienced scientists and, if they are successful, ends with the individual leading their own research group and training future generations of scientists. Here we study the author contribution statements of published research papers in order to explore possible biases and disparities in career trajectories in science. We used Bayesian networks to train a prediction model based on a dataset of 70,694 publications from PLoS journals, which included 347,136 distinct authors and their associated contribution statements. This model was used to predict the contributions of 222,925 authors in 6,236,239 publications, and to apply a robust archetypal analysis to profile scientists across four career stages: junior, early-career, mid-career and late-career. All three of the archetypes we found - leader, specialized, and supporting - were encountered for early-career and mid-career researchers. Junior researchers displayed only two archetypes (specialized, and supporting), as did late-career researchers (leader and supporting). Scientists assigned to the leader and specialized archetypes tended to have longer careers than those assigned to the supporting archetype. We also observed consistent gender bias at all stages: the majority of male scientists belonged to the leader archetype, while the larger proportion of women belonged to the specialized archetype, especially for early-career and mid-career researchers.

SUBMITTER: Robinson-Garcia N

PROVIDER: S-EPMC7647403 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Task specialization across research careers.

Robinson-Garcia Nicolas N Costas Rodrigo R Sugimoto Cassidy R CR Larivière Vincent V Nane Gabriela F GF

eLife 20201028

Research careers are typically envisioned as a single path in which a scientist starts as a member of a team working under the guidance of one or more experienced scientists and, if they are successful, ends with the individual leading their own research group and training future generations of scientists. Here we study the author contribution statements of published research papers in order to explore possible biases and disparities in career trajectories in science. We used Bayesian networks t ...[more]

PMID: 33112232

Similar Datasets

Project description:BackgroundRecruitment and retention of Pulmonary and Critical Care Medicine (PCCM) trainees into academic research positions remain difficult. Factors influencing graduates, like salary and personal circumstances, remain unchangeable. However, some program-level factors, like research skill acquisition and mentorship, may be modifiable to encourage matriculation into academic research positions.ObjectiveWe aim to identify proficiency in research-specific skills in PCCM trainees and barriers to careers as research-focused academic faculty.MethodsWe surveyed PCCM fellows in a nationwide cross-sectional analysis including demographics, research intent, research skills self-assessment, and academic career barriers. The Association of Pulmonary and Critical Care Medicine Program Directors approved and disseminated the survey. Data were collected and stored using the REDCap database. Descriptive statistics were used to assess survey items.Results612 fellows received the primary survey with 112 completing the survey for a response rate of 18.3%. A majority were male (56.2%) and training at university-based medical centers (89.2%). Early fellowship trainees (first-/second-year fellows) comprised 66.9% of respondents with 33.1% being late fellowship trainees (third-/fourth-year fellows). Most early trainees (63.2%) indicated they intended to incorporate research into their careers. A chi-square testing of independence was performed to examine the relationship between training level and perceived proficiency. Significant relationships in perceived proficiency were identified between early and late fellowship trainees with an absolute difference of 25.3% (manuscript writing), 18.7% (grant writing), 21.6% (study design), and 19.5% (quantitative/qualitative methodology). The most prevalent barriers were unfamiliarity with grant writing (59.5%) and research funding uncertainty (56.8%).ConclusionWith an ongoing need for academic research faculty, this study identifies self-perceived gaps in research skills including grant writing, data analytics, and study conception and design. These skills map to fellow-identified barriers to careers in academics. Mentorship and innovative curriculum focusing on the development of key research skills may enhance academic research faculty recruitment.

Dataset Information

Task specialization across research careers.

Publications

Task specialization across research careers.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets