FAIR research data encompasses the way to create, store and publish research data in a way that they are findable, accessible, interoperable and reusable. In order to be FAIR, research data published should meet certain criteria described by the FAIR principles. Despite this, many research performing organisations and infrastructures are still reluctant to apply the FAIR principles and share their datasets due to real or perceived costs, including time investment and money. To answer such concerns, this report formulates 36 policy recommendations on cost-effective funding and business models... to make the model of FAIR data sustainable. It provides evidence to decision makers on setting up short and long-term actions pertinent to the practical implementation of FAIR principles.