Whenever we talk about 'open science', we tend to discuss the underlying concepts, how they are beneficial, what limitations and mitigations exist, and who has made use of them. This structure is even present within my own papers and workshops on open science as it makes sense from a presentation perspective where you only have a limited amount of time to introduce the concepts and make your point. However, research does not encounter these concepts through this organizational structure. A lot of these concepts are encounter in different orders with varying priorities (e.g., preregistration at the beginning of a study while making your code open source can be an afterthought).
As such, welcome to 'How to Open Science', a blog thread on how to integrate open science practices into a project. We will go through the common steps of creation, design, implementation, and reporting within a project and see how open science practices can integrate with each of those steps. By putting these concepts into examples similar to reality, I hope you are able to get a better sense on how these concepts work, when they can be integrated, and how any available mitigations or workarounds can be achieved.
Structure and Timeline
I will be releasing a topic for 'How To Open Science' every Monday EST until the workflow is complete. For those curious, I have provided a rough timeline below, which will be changed and linked to the relevant blog posts as needed:
Creating Preprints
Submitting and Publishing a Report
A Brief Disclaimer
You don't have to integrate any of these practices within your work itself. Additionally, these are not the only way to use these practices within a body of work. This is simply an informational thread on how I would tackle these concepts and implement them within my own research. Additionally, I believe these practices are good for bookkeeping and organization even if you choose not to make it open.
Footnote
* For that 1% of people who realize the title has the same section header as my research papers: this is actually a 'How To' on open science and not just a title to audit existing works.