Recently many industry leaders have been highlighting the problems of not having F.A.I.R. data. For example, a recent report estimates that data that is not findable, understandable or has incomplete metadata introduces inefficiencies and negatively impact research quality, ultimately costing the European economy in excess of €26 billion per year. In this white paper, we explore what the F.A.I.R. principles mean in practical terms for your R&D data management strategy before describing how IDBS enables organizations to make their scientific data Findable, Accessible, Interoperable and Reusable and mitigate the costs of not being F.A.I.R.