Software-driven scientific workflows are often characterized by a complex interplay
of various pieces of software executed in a particular order. Moreover, each process
in a workflow may pose a number of requirements on the software or hardware environment.
In this SIG, we want to elaborate, together with the scientific community,
a vision on how scientific workflows should be created, packaged, and published in order to be as FAIR as possible. We want to evaluate if existing workflow tools provide reusable solutions, and identify the capabilities that are missing to reach our goal: reproducible research workflows, by anyone, anywhere and anytime.