What are you looking for?
Group Session January 21, 2025

Advancing drone data management through better interoperability and awareness around ethics

Plenary: RDA 24th Plenary Meeting – Fully Virtual

Submitted by

Meeting objectives

Collaborative session notes:
https://docs.google.com/document/d/1vHlbWFgvmryjjpKtdZWIyYJ46PceIDr4/edit?usp=sharing&ouid=104358842683409363823&rtpof=true&sd=true

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:

  1. Introducing the Small Uncrewed Aircraft and Autonomous Platforms Data WG
  2. Summarise notable advances of the WG since the P22 plenary through the presentation of the landscape survey and the use case compilation
  3. Discuss priorities issues and discuss key outputs of the Working Group

Meeting presenters

Ryan O'Connor (RDA), Alice Fremand (UK Polar Data Centre - British Antarctic Survey - Cambridge, UK) Thabo Semong (Botswana International University of Science and Technology (BIUST)), Jens Klump (CSIRO - Perth - Australia), Nina Grau (RDA Tiger)

Meeting agenda

  •       Introduction to the group (10 min)
  •       Presentation of the landscape survey (10 min)
  •       Use case compilation and report from the community (25 min)
  •       Discussion of the priorities of the Working Group activities as the future direction of the WG
    • TOPIC 1: interoperability and metadata (20min)
    • TOPIC2: awareness around ethics (20min)
  •       Closing remarks (5 min)

Target audience

Operators of sUAS missions
Scientists who collect and analyse UAS data
Research cloud infrastructure providers
Metadata practitioners

Group Activities and Scope

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.

Additional links to informative material

The use case compilation document is available here: https://docs.google.com/document/d/1QERCumi5ORG3ZNQ6EVy77faLN_uv9uRVKUWvaE5AKKs/edit#heading=h.fq5zs5928l4t

Short Group Status

The associated IG was 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
P22 2024 (Virtual): Introducing the small Uncrewed aircraft and autonomous platforms data Working Group
July 2024: Established WG
This meeting aims to present the work undertaken since the P22 plenary meeting

Applicable Pathways

FAIR, CARE, TRUST - Evaluation and Policy
Data Infrastructures and Environments - Discipline Focused
Training, Stewardship, and Data Management Planning

Please indicate at least (3) three breakout slots that would suit your meeting.

Breakout 3. Tuesday, 8 April, 07:00-08:30 UTC
Breakout 4. Tuesday, 8 April, 14:00-15:30 UTC
Breakout 7. Wednesday, 9 April, 14:00-15:30 UTC