A short practical guide for preparing and sharing your analysis code
With the increasing popularity of open science practices, it is now more and more common to openly share data processing and analysis code along with more traditional scientific objects such as papers. There are many benefits to doing so: it makes your work more easily verifiable, reproducible, and reusable. But what are the best ways to create an understandable, openly accessible, findable, citable, and stable archive of your code? In this post, we look at what you need to do to prepare your code folder and then how to upload it to Zenodo.
