ArticlePLoS computational biology2019
Ten simple rules towards healthier research labs.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
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- Ten simple rules for how you can help make your lab a better place as a graduate student or postdoc.PLoS computational biology · 2022Article
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- Ten simple rules to cultivate belonging in collaborative data science research teams.PLoS computational biology · 2022Article
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- Promoting lab culture to enhance academic resilience during crises.Ecology and evolution · 2022Article
- Mastering the scientific peer review process: tips for young authors from a young senior editor.Journal of forestry research · 2022Article
- Ten simple rules for being a faculty advocate of first-year graduate students.PLoS computational biology · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The negative effects of extremely competitive academic and research environments on the performance and health of researchers are well known and common worldwide. The prevalence of these effects, particularly among early career researchers, calls for a more humane and people-centered way of working within research labs. Although there is growing concern about the urgent need for a better life-work balance when doing science, there are not many examples about how this could be achieved in practice. In this article, I introduce 10 simple rules to make the working environment of research labs more nurturing, collaborative, and people-centered. These rules are directed towards existing and future principal investigators (PIs) but will be of interest to anyone working in a research lab and/or dealing with how to improve working conditions for scientists.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.