In many research disciplines, the expertise and effort required to make data truly FAIR—Findable, Accessible, Interoperable, and Reusable—remain vastly underestimated. Researchers often face tight timelines, limited resources, and a lack of specialized knowledge, leaving valuable datasets under-documented, siloed, or simply unusable for future research.
This is where CaSDaR steps in.