A Minimum Information Framework for capturing FAIR data with small Uncrewed Aircraft Systems

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

Andrea Thomer , Lindsay Barbieri , Jane Wyngaard , Sarah Swanz

Abstract

Small Uncrewed Aircraft Systems (sUAS) are an increasingly common tool for data collection in many scientific fields. However, there are few standards or best practices guiding the collection, sharing, or publication of data collected with these tools. This makes collaboration, data quality control, and reproducibility challenging. To that end, we have used iterative rounds of research process modeling and user engagement to develop a Minimum Information Framework (MIF) to guide sUAS users in collecting the metadata necessary to ensure that their data is trust-worthy and shareable. This MIF outlines 74 metadata terms in four classes that users should consider collecting for any given study. The MIF provides a foundation which can be used for developing standards and best practices.

DOI

https://doi.org/10.31223/X5Z338

Subjects

Computer and Systems Architecture, Library and Information Science

Keywords

sUAS, drones, RPAs, data standard

Dates

Published: 2021-08-02 23:00

Last Updated: 2021-08-03 06:00

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

Data Availability (Reason not available):
N/A

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