![]() This is essentially the concept of reproducibility - research should be able to be reproduced in order to validate its conclusions. ![]() When performing some research via any method, the most basic expectation is that the results should be able to be validated somehow, otherwise how can they be trusted? The most basic version of this is that by following the same methods of the researchers who originally performed a piece of work, you should be able to come to the same conclusions. You can expect more to come throughout my Fellowship, so watch this space. This blog post should serve as a very brief set of signposts to some of the concepts you can use to develop a reproducible project in MATLAB. Now it's time to share what I've learned with everyone! Over the last few years, as a Research Software Engineer, I've gained the experience needed to develop reproducible software in a range of languages including MATLAB. However, at the time, I didn't know about the concepts required to make my code reproducible for myself and others. It will help them to find and learn the tools that they need to easily produce better research by making their code reproducible.ĭuring my PhD and postdoctoral research I used MATLAB, among other languages, to analyse data, run simulations, make figures and control instrumentation. This year, I've been awarded a Fellowship by the Software Sustainability Institute to develop guidance and training for researchers who use MATLAB. However, more often than not, the code that is written for research purposes cannot be easily run again, sometimes even by the code's author (yours truly included!). In research, it is of utmost importance to the scientific process to be able to reproduce research findings in order to establish their validity. ![]() Beginners may also our want to see our guide on The art of coding without coding with MATLAB Live tasks. ![]()
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