Love your protocol first before you turn to data

Your data can be super-FAIR but without a protocol, detailing the steps how they were generated, they will remain irreproducible. In a time of methodological shortcuts and insufficient, often misunderstanding M&M description, I will show you what you need in a good methods protocol, that speaks for itself, that is shareable with a DOI, and that you can always keep up-to-date in a suitable protocol repository. Includes 30 min of practice session! Bring your protocol or the just the parts you have.