Since 2014, a number of FAIR Stakeholders have developed tools and methods around the FAIRifcation of typical datasets. In the last 5 years, these efforts were field tested in a series of "Bring Your Own Data" Workshops" (https://www.dtls.nl/fair-data/byod/). This is a [link][1] to a google document the records the accumulated practical & teaching experiences from BYODS as well as more high-level FAIR awareness trainings. This document was formerly known as the "Big Book of FAIRification". The original intention of behind this document was to preserve the thousands of hours of valuable experience gained in hands-on FAIRification, and now to reuse as much as possible in the design and deployment of the next generation of methods and associated training materials (see the GO TRAN Pillar https://osf.io/za96b/). - This document is under Creative Commons Attribution 4.0 International Public License. - This version is a working document in development. Feel free to reuse and cite using the links and citation given by OSF. - Contact Erik Schultes if you have any questions on the re-use of this document. . [1]: https://docs.google.com/document/d/1Tc30MeYFjze1W1Wd7zje1dW8rsq85BwqnY-SnIVvkvU/edit#