Data Curation is the documentation, description, and management of research data to produce datasets that are FAIR: Findable, Accessible, Interoperable, and Reusable. It is a process that adds value to research by optimizing data sets for current use and future discovery and reuse. Approaches to data curation will depend on the characteristics of the data being collected (e.g. file-type, size, sensitivity), and the repository where it is being deposited.
For guidance in curating your research data, we've compiled a series of recommended resources: