This repository contains a minimum information framework (MIF) for data collected by small unmanned aerial systems (AKA sUAS AKA RPAs AKA drones). A MIF is essentially a framework for the development for further data standards; it enumerates the metadata needed for the collection of FAIR (Findable Accessible Interoperable and Reusable) scientific data with drones/sUAS/RPAs. The MIF was drafted through examination of 3 case studies of data collection with drones, and then refined through iterative rounds of community feedback and reflection on the authors' own work with drone-based data collection. We are currently writing a short paper further describing the development of the standard. This project was funded as an ESIP Lab and we thank ESIP for their support. Please cite as: Thomer, Andrea K., Swanz, Sarah, Barbieri, Lindsay, Wyngaard, Jane. (2020). A minimum information framework the FAIR collection of earth and environmental science data with drones. https://doi.org/10.5281/zenodo.4124166 ===== Minor updates to this release: Added ER diagram, finally Updates to MIF: merged "use" and "access" in "project" class. These were meant to be merged in prior release Added "dataset identifier" to "observational dataset class." This was also meant to be included before Added "required?" column to CSV to denote recommended minimum metadata