Iatlantic Logo Hybrid
  • Our Work
    • Work Packages
    • Study areas
    • Expeditions
    • Innovation & Technology
    • Publications
    • iAtlantic GeoNode
    • iMirabilis2 Expedition
  • Our Team
    • Consortium
    • Steering Committee
    • iAtlantic Fellows
    • Advisory Board
    • Science Council
  • News
  • Events
    • Webinar programme
    • Webinar archive
    • iAtlantic Annual Meetings
    • iAtlantic Workshops
    • iMirabilis2 Expedition
  • Resources
  • Opportunities
  • Contact
Menu
  • Our Work
    • Work Packages
    • Study areas
    • Expeditions
    • Innovation & Technology
    • Publications
    • iAtlantic GeoNode
    • iMirabilis2 Expedition
  • Our Team
    • Consortium
    • Steering Committee
    • iAtlantic Fellows
    • Advisory Board
    • Science Council
  • News
  • Events
    • Webinar programme
    • Webinar archive
    • iAtlantic Annual Meetings
    • iAtlantic Workshops
    • iMirabilis2 Expedition
  • Resources
  • Opportunities
  • Contact
Login
Search
Close

Processing seafloor imagery with FAIR image Digital Objects (iFDOs)

What are iFDOs?

The team at GEOMAR and NOC is working on making marine image data FAIR (Findable, Accessible, Interoperable, and Reusable) using image FAIR Digital Objects (iFDOs). They provide a standardised framework for processing marine imagery. The team further presents an infrastructure environment to create, validate, manage, and store these iFDOs, and which data associated with imagery should be curated (see figure below). 

Ifdos
Setup of image FAIR Digital Objects. Key information and image data is stored in a dedicated infrastructure (yellow squares). iFDOs only contain persistent identifiers to those external information resources. Additionally, specific metadata for marine imaging use-cases is stored inside the iFDO files. iFDOs consist of three sections: (1) the required core part which includes the persistent identifiers as well as licensing information; (2) the recommended capture part that addresses the technical heterogeneity of image acquisition; and the (3) the optional content part that captures semantic information from within the images to address the heterogeneous nature of image data. Together, these three sections constitute one iFDO file. This file contains header information on the entire image data set as well as detailed information on each image item within a defined set of images (Schoening et al. 2022: https://doi.org/10.1038/s41597-022-01491-3).
What can be achieved by using iFDOs?

The goal is to reduce image management overheads while simultaneously creating visibility for image acquisition and publication efforts. Ultimately, the curated image data are the key to efficient and effective Artificial Intelligence (AI) applications that detect and classify objects within well-curated image data sets.

Why are iFDOs important?

Underwater images are used to explore and monitor ocean habitats, generating huge datasets with unusual data characteristics that preclude traditional data management strategies. Due to the lack of universally adopted (meta)data standards, image data collected from the marine environment are increasing in heterogeneity, thus preventing objective comparison. Hence, the extraction of actionable information remains challenging, particularly for researchers not directly involved with the image data collection. Standardised formats and procedures following the FAIR principles, such as the iFDOs, are needed to enable sustainable image analysis and processing tools, as are solutions for image publication in long-term repositories to ascertain reuse of data.

For more information

If you want more info, do not hesitate to contact Timm Schoening (tschoening[at]geomar.de), but please also check the following:

  • This work has produced an open-access peer-reviewed publication ‘Making marine image data FAIR’: https://doi.org/10.1038/s41597-022-01491-3
  • A Python library and tools are available here: https://gitlab.hzdr.de/datahub/marehub/ag-videosimages. The online documentation is updated dynamically from the documentation repository: https://marine-imaging.com/fair/
  • The team also published hands-on material as two Ocean Best Practice guides: https://repository.oceanbestpractices.org/handle/11329/1781  & https://repository.oceanbestpractices.org/handle/11329/1782.
  • Finally, the team are currently updating the next version – contributions (as issues) can be added here: https://gitlab.hzdr.de/datahub/marehub/ag-videosimages/fair-marine-images.

Main contributors: Timm Schoening, Jennifer Durden, Henk-Jan Hoving, based at the GEOMAR Helmholtz Centre for Ocean Research (Germany) and the National Oceanography Centre (UK)

Subscribe to our newsletter

Get the latest news, events and developments from iAtlantic, straight to your inbox.

iAtlantic_logo
  • Our Work
  • Our Team
  • News
  • Events
  • Resources
  • Contact
  • Our Work
  • Our Team
  • News
  • Events
  • Resources
  • Contact
Facebook-fTwitterInstagram

© 2020 iAtlantic. All rights reserved.

Responsive website design, Development and Hosting by mtc.

Photo by : Andrew Stevenson

EU

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 818123 (iAtlantic). This output reflects only the author’s view and the European Union cannot be held responsible for any use that may be  made of the information contained therein.