Biomedical supervisors’ role modeling of open science practices

  1. Tamarinde L Haven  Is a corresponding author
  2. Susan Abunijela
  3. Nicole Hildebrand
  1. Danish Centre for Studies in Research and Research Policy, Department of Political Science, Aarhus University, Denmark
  2. QUEST Center for Responsible Research, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Germany
2 tables and 1 additional file

Tables

Table 1
Prevalence of open access publishing and sharing data openly among unique DOIs.
PracticePh.D. candidatesSupervisorsTotal*Spearman’s correlation
Open access54811541702 (82.8%)0.24
Open data (automated)67112179 (8.8%)0.20
Open data (manually verified)3466100 (4.8%)0.22
  1. *

    Between parentheses indicates proportion out of the total sample.

Table 2
GEE logistic analyses for open access, open data (automated detection), and open data (manually verified).
Crude analysisAdjusted analysis (institution added)
PracticeNOR*95% CIp-valueNOR*95% CIp-value
Open access (binary)6511.99(1.17–3.38)0.0116511.64(0.94–2.85)0.079
Reference category: up to or including the national average (76%) of the supervisor’s publications were open access
Open data automated (binary)6442.09(1.13–3.88)0.0196442.21(1.19–4.12)0.012
Reference category: supervisor never shared data
Open data manually verified (binary)6533.74(1.53–9.12)0.0046534.60(1.86–11.35)0.001
Reference category: supervisor never shared data
  1. N=the total number of included publications by Ph.D. candidates.

  2. *

    Odds ratios are EXP transformed.

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  1. Tamarinde L Haven
  2. Susan Abunijela
  3. Nicole Hildebrand
(2023)
Biomedical supervisors’ role modeling of open science practices
eLife 12:e83484.
https://doi.org/10.7554/eLife.83484