Interoperability for workflows refers to the easy exchange of information between different platforms in a standardised and compatible way. Due to layered complexity, it is considered the most challenging among the FAIR components, specifically for research software and workflows. For example, a workflow is a dynamic digital object that executes specific tasks and holds together many components, including data, tools, execution environment, dependencies, scripts, and the source code. The workflow has various components, each of which should also be interoperable. Common workflow standards and formats should be used to make workflows interoperable, recognised by different WfMSs, and executed on different operating systems. The workflow standards solve the issues with dependencies that can be retrieved from containers such as docker or singularity containers and seamlessly allow the sharing and reuse of the workflow.