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Ten simple rules for increased lab resilience.
Rillig, Matthias C; Bielcik, Milos; Chaudhary, V Bala; Grünfeld, Leonie; Maaß, Stefanie; Mansour, India; Ryo, Masahiro; Veresoglou, Stavros D.
  • Rillig MC; Freie Universität Berlin, Institut für Biologie, Berlin, Germany.
  • Bielcik M; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany.
  • Chaudhary VB; Freie Universität Berlin, Institut für Biologie, Berlin, Germany.
  • Grünfeld L; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany.
  • Maaß S; Department of Environmental Science and Studies, DePaul University, Chicago, IL, United States of America.
  • Mansour I; Freie Universität Berlin, Institut für Biologie, Berlin, Germany.
  • Ryo M; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany.
  • Veresoglou SD; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany.
PLoS Comput Biol ; 16(11): e1008313, 2020 11.
Article in English | MEDLINE | ID: covidwho-937215
ABSTRACT
When running a lab we do not think about calamities, since they are rare events for which we cannot plan while we are busy with the day-to-day management and intellectual challenges of a research lab. No lab team can be prepared for something like a pandemic such as COVID-19, which has led to shuttered labs around the globe. But many other types of crises can also arise that labs may have to weather during their lifetime. What can researchers do to make a lab more resilient in the face of such exterior forces? What systems or behaviors could we adjust in 'normal' times that promote lab success, and increase the chances that the lab will stay on its trajectory? We offer 10 rules, based on our current experiences as a lab group adapting to crisis.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Laboratory Personnel / COVID-19 Type of study: Observational study / Qualitative research Limits: Humans Language: English Journal: PLoS Comput Biol Journal subject: Biology / Medical Informatics Year: 2020 Document Type: Article Affiliation country: Journal.pcbi.1008313

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Laboratory Personnel / COVID-19 Type of study: Observational study / Qualitative research Limits: Humans Language: English Journal: PLoS Comput Biol Journal subject: Biology / Medical Informatics Year: 2020 Document Type: Article Affiliation country: Journal.pcbi.1008313