Ensuring Robustness in Scientific Research, Split-root assays as an example case
Lucila Salvatore, Ronald PierikiD, Kaisa KajalaiD, Kirsten ten TusscheriD
Abstract
Scientific progress relies on reproducibility, replicability, and robustness of research outcomes. After briefly discussing these terms and their significance for reliable scientific discovery, we argue for the importance of investigating robustness of outcomes to experimental protocol variations. We highlight challenges in achieving robust, replicable results in multi-step plant science experiments, using split-root assays in Arabidopsis thaliana as a case study. These experiments are important for unraveling the contributions of local, systemic and long-distance signalling in plant responses and play a central role in nutrient foraging research. The complexity of these experiments allows for extensive variation in protocols. We investigate what variations do or do not result in similar results and provide concrete recommendations for enhancing replicability and robustness of these and other complex experiments through extending the level of detail in research protocols.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 15th percentile
- Organism
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- The logical structure of experiments lays the foundation for a theory of reproducibility
E. O. Buzbas, B. Devezer, B. Baumgaertner·bioRxiv·Aug 10, 2022
- Bridging the gap between formal theory and scientific reform practices
E. O. Buzbas, B. Devezer·bioRxiv·Dec 7, 2022
- Three species, three labs, three experiments: testing the reproducibility of ecological studies on insect behaviour in a multi-laboratory setting
Carolin Mundinger, Nora K. E. Schulz, … S. Helene Richter·bioRxiv·Jan 16, 2025
- A statistical definition for reproducibility and replicability
Prasad Patil, Roger D. Peng, Jeffrey T. Leek·bioRxiv·Jul 29, 2016
- Science with no fiction: measuring the veracity of scientific reports by citation analysis
Peter Grabitz, Yuri Lazebnik, … Sean Rife·bioRxiv·Aug 9, 2017
- Estimating the replicability of Brazilian biomedical science
The Brazilian Reproducibility Initiative, Olavo B. Amaral, … Igor L. Baptista·bioRxiv·Apr 2, 2025