Klump J1, Frémand A2, Manthorpe S3, Whitelaw M2, Gerard F4, Garland W5, Semong T6, George C4, Guru S7, Ricketts H8
1CSIRO, Perth, Australia, 2British Antarctic Survey, Cambridge, United Kingdom, 3University College Cork, Cork, Ireland, 4UK Centre for Ecology and Hydrology, Wallingford, United Kingdom, 5Science and Technology Facilities Council, Oxford, United Kingdom, 6Botswana International University of Science & Technology, Gaborone, Botswana, 7TERN, University of Queensland, Brisbane, Australia, 8NERC National Centre for Atmospheric Science, University of Manchester, Manchester, United Kingdom
Biography:
Jens Klump is a geochemist with more than two decades of experience working at the intersection of geoscience and data science. His research focuses on data‑driven approaches to minerals exploration, earth science informatics, and digital research infrastructures. He has contributed to the development of data and software citation practices, global identifier systems for data and geological samples, and the design of virtual research environments supporting large‑scale geoscience analysis.
Abstract:
As Uncrewed Aerial Vehicles (UAVs), also known as Remotely Piloted Aerial Systems (RPAS) and, more generally, drones, become more accessible, the volume and variety of data streamed from UAVs as instrument platforms are growing rapidly. UAVs enable the collection of large volumes of data for diverse research applications across various scientific disciplines. The volume of data generated and the absence of standardised workflows often complicate data sharing and publication.
As the Research Data Alliance (RDA) Small Uncrewed Aircraft and Autonomous Platforms Data Working Group (sUAS Data WG), we developed guidelines to improve the Findability, Accessibility, Interoperability, and Reusability (FAIR) of these data while taking into account legal, privacy, and ethical considerations.
The recommendations were developed from the analysis of use cases and best-practice examples in the management of UAV data, while also considering best practices from related but more advanced communities, such as marine autonomous vehicles.
The presentation will discuss the recommendations developed by the RDA sUAS Data WG, with a particular focus on mission planning, data collection, ethical considerations, data pipeline description, data storage, data formats, and interoperability.
