Small uncrewed aircraft systems (sUAS, also known as drones, remotely piloted aircraft or uncrewed aerial vehicles) and Autonomous platforms have become important tools for collecting data from the environment. They offer the potential to acquire data at higher temporal and spatial resolutions and in environments that are too hazardous to work in. Today, with the development of miniaturised sensors and the availability of performant autopilot hardware and software, they have become accessible and cost-effective platforms for collecting high volumes of data.
While cloud computing infrastructures can offer the necessary scalability for processing the large volumes of data produced by these platforms, the lack of common data and metadata practices is a barrier to interoperability and reuse.
Following the example of marine autonomous platforms, which is much further advanced in terms of data and metadata standardisation, the aim of the Small Uncrewed Aircraft and Autonomous Platforms Data WG is to produce recommendations for data and metadata coming from sUAS and autonomous platforms to support interoperability and reuse of these data in research data infrastructures.
Objectives for this session are:
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Introducing the Small Uncrewed Aircraft and Autonomous Platforms Data WG
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Summarise notable advances in sUAS data management and in parallel areas
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Launch of initial survey to better understand the needs of the community.
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Discuss priorities issues and discuss key outputs of the Working Group
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Introduction to the group (10 min)
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Review of past activities (15 min)
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Introducing the sUAS Data WG (5 min)
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Survey of attendees (5 min)
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Reports from the community (20 min) (speakers to be confirmed)
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Discussion of the priorities of the Working Group activities as the future direction of the IG (30 min)
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Closing remarks (5 min)
Operators of sUAS missions
Scientists who collect and analyse UAS data
Research cloud infrastructure providers
Metadata practitioners
The sUAS Data IG seeks to be a forum for drone users to build appropriate drone data management infrastructure and norms collaboratively and in partnership with academia, industry, regulators, and standards bodies.
Established in 2017
P13 2019 (Philadelphia): sUAS Data Collaborations Effort
P14 2019 (Helsinki): Developing community recommendations for FAIR drone data
P15 2020 (Melbourne): Joint session Research Data Management in Engineering IG (RDMinEng) and IG small Unmanned Aircraft data (sUAS data IG)
P18 2021 (Virtual): Progress: The needle is moving on small unstaffed vehicles data
The group's shared work has been stalled by the pandemic. This meeting will seek to update the community on efforts that have continued throughout the pandemic and serve as an opportunity to restrategise its role through the introduction of the new sUAS Data WG.
Barbieri, Lindsay, Jane Wyngaard, Sarah Swanz, and Andrea K. Thomer. ‘Making Drone Data FAIR Through a Community-Developed Information Framework’. Data Science Journal 22 (2023): 1–1.
Wyngaard, Jane, Lindsay Barbieri, Andrea Thomer, Josip Adams, Don Sullivan, Christopher Crosby, Cynthia Parr, Jens Klump, Sudhir Raj Shrestha, and Tom Bell. ‘Emergent Challenges for Science sUAS Data Management: Fairness through Community Engagement and Best Practices Development’. Remote Sensing 11, no. 15 (2019): 1797.
RDA TIGER Proposal for WG support services: https://docs.google.com/document/d/12zFxnshtx56OuDRTbQ3cPlYnU1gcqhdQJEuV9-jHhJ0/edit#
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