Science Forum: A community-led initiative for training in reproducible research
- Department of Plant Physiology, Institute of Botany, Faculty of Biology, Technische Universität Dresden, Germany
- Department of Molecular and Human Genetics, Baylor College of Medicine, United States
- QUEST Center, Berlin Institute of Health, Charité Universitätsmedizin Berlin, Germany
- Shanghai Key Laboratory of Brain Functional Genomics, East China Normal University, China
- Medical Technology Cluster, Indonesian Medical Education and Research Institute, Faculty of Medicine, Universitas Indonesia, Indonesia
- Boyce Thompson Institute, United States
- CIBO/InBIOO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Campus Agrário de Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Portugal
- Research School of Biology, Australian National University, Australia
- Department of Biomedical Science, Midwestern University, United States
- Department of Neuroscience, Carleton University, Canada
- Reproducibility for Everyone, United States
Figures
Figure 1
Factors that affect reproducibility in research.
An approximation of the classification of categories that contribute to irreproducible scientific results, including technical, human, errors in study design and statistical analysis and external. Specific examples have been listed under each category.
Figure 2
Approaches that scientists can use to increase the reproducibility of their publications.
From top to bottom, approaches that can be used on their own or in combination to increase the reproducibility of experiments, ordered from least reproducibility to most. The column on the right includes details of tools and resources than can be used to help scientists take each specific approach.
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Science Forum: A community-led initiative for training in reproducible research
eLife 10:e64719.
https://doi.org/10.7554/eLife.64719
