A minimum information framework the FAIR collection of earth and environmental science data with drones. version 1.1

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

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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