[Alice Fremand]

Introduction to the group (10 min)

Review of past activities (15 min)

Introducing the sUAS Data WG (5 min)

Survey of attendees (5 min)

Reports from the community (20 min) (speakers to be confirmed) 

Discussion of the priorities of the Working Group activities as the future direction of the IG (30 min)

Closing remarks (5 min)

Additional links to informative material
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#

Applicable Pathways
Discipline Focused Data Issues

Avoid conflict with the following group (1)
Virtual Research Environment IG (VRE-IG)

Brief introduction describing the activities and scope of the group
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.

Group chair serving as contact person
Alice Fremand

I Understand a Chair Must be Present at the Event to Hold the Breakout Session
Yes

Meeting objectives
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:

Introducing the Small Uncrewed Aircraft and Autonomous Platforms Data WG

Summarise notable advances in sUAS data management and in parallel areas

Launch of initial survey to better understand the needs of the community.

Discuss priorities issues and discuss key outputs of the Working Group

Please indicate at least (3) three breakout slots that would suit your meeting.
Breakout 1, Breakout 4, Breakout 7

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