Nine Ways To Improve Your Data Reproducibility
There are few things more soul-destroying in research than performing what seems like the perfect experiment – and then seeing your colleagues or other research groups fail to obtain similar results. With concerns being raised about a potential “reproducibility crisis” and how this reflects on the quality and trustworthiness of research outputs, there have been concerted efforts to address challenges and devise ways in which to improve reproducibility.
Download this guide to discover tips on improving your data reproducibility such as:
- Check for guidelines specific to your field
- Know your equipment and maintain it well
- Understand what your analysis software is doing
Meet the Author
Natasha Beeton-Kempen, PhD