Making Drone Data FAIR Through a Community-Developed Information Framework Cover

Making Drone Data FAIR Through a Community-Developed Information Framework

Data Science Journal

Volume 22 (2023): Issue 1

By: Lindsay Barbieri , Jane Wyngaard , Sarah Swanz and Andrea K. Thomer

Open Access

|Jan 2023

Authors

Lindsay Barbieri

barbieri.lindsay@gmail.edu

University of Vermont, Gund Institute for Environment, Burlington, Vermont, 05401; Earth Science Information Partners, Severna Park, MD 21146

Jane Wyngaard

Jane.Wyngaard@uct.ac.za

University of Cape Town, Department of Electrical Engineering, Cape Town, 7701

Sarah Swanz

spswanz@umich.edu

Washington University in St. Louis, University Libraries, St. Louis, MO, 63130

Andrea K. Thomer

athomer@umich.edu

University of Arizona, School of Information, Tucson, AZ, 85721

DOI: https://doi.org/10.5334/dsj-2023-001 | Journal eISSN: 1683-1470

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Language: English

Submitted on: Jun 2, 2022

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Accepted on: Nov 4, 2022

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Published on: Jan 25, 2023

Published by: Ubiquity Press

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

minimum information framework,

uncrewed aerial systems

© 2023 Lindsay Barbieri, Jane Wyngaard, Sarah Swanz, Andrea K. Thomer, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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