Explore what is possible when data are FAIR (findable, accessible, interoperable, and reusable) and how data contributors can increase the reusability of their data. Secondary research utilizes data derived from previous research to validate original study findings, generate new hypotheses, or answer new research questions. Examples of secondary research include meta-analyses, systematic reviews, and “big data” analysis efforts. The National Institutes of Health DMS policy will increase scientific data availability and potentially ignite further research to expand knowledge. Increased data reuse will benefit not only data consumers but also the primary data generators, whose work will be amplified.