This poster outlines how creators of scientific data can and should work with librarians to make their data FAIR (findable, accessible, interoperable, reusable). The starting point is the observation that the originators of the FAIR concept point out that a 'little FAIR' may go a long way towards achieving FAIR aspirations. Second, the authors point out that value-added FAIR efforts should align with where the data is in the data life cycle. Fully FAIR data is not a binary choice. Third, data has an ongoing presence or life story, that suggests ongoing curation and potential additional FAIR data activities are possible increasing data FAIR-ness. Finally the authors argue that librarians have knowledge, skills, and resources that researchers can leverage in working towards FAIR data.