Abstract
Key principles of data management achieved via FAIR implementation can have positive effects on many aspects of R&D, from workflow efficiency to collaboration to costs. While machines offer incredible benefits in terms of the speed and scale at which they can process data, they lack the judgment, intuition, and contextual understanding that humans bring to the table. Making data FAIR is in essence making them more accessible to machines and humans alike.
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