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Overview

Preamble: We strive to make marine image data FAIR. We maintain metadata profiles to establish a common language of marine imagery, we develop best-practice operating procedures for handling marine images and we develop software tools to apply the vocabulary and procedures to marine imagery.

FAIRness#

The buzzterm FAIR is an acronym for Findable, Accessible, Interoperable and Reusable. Which you probably knew already. Sorry. But in case you didn’t: its the big idea, currently driving research data management (RDM) and a massive challenge for RDM infrastructure providers, maintainers and users. But it is also a fantastic opportunity to open up research by making research efforts more prominent and results more reliable. It appears everywhere nowadays, most importantly in project calls and thus project proposals. So while there is also no way around it, embracing this new data culture will change the face of research for the better!

FAIR Digital Objects for images (iFDOs)#

Achieving FAIRness and Openness of (marine) image data requires structured and standardised metadata on the image data itself and the visual and semantic image data content. This metadata shall be provided in the form of FAIR digital objects (FDOs). These documentation pages describes how FDOs for images (aka iFDOs) shall be structured. If you want, an iFDO is a human and machine-readable file format for an entire image set, except that it does not contain the actual image data, only references to it through persistent identifiers!

Standard Operating Procedures (SOPs)#

SOP iFDO Creation:#

  • Main document: https://doi.org/10.5281/zenodo.5681428
  • Supplement: https://doi.org/10.5281/zenodo.5683081
  • OceanBestPractices Bundle: http://hdl.handle.net/11329/1782

SOP Image curation and publication:#

  • Main document: https://doi.org/10.5281/zenodo.5704845
  • Supplement: https://doi.org/10.5281/zenodo.5704843
  • OceanBestPractices Bundle: http://hdl.handle.net/11329/1781

Vocabulary terms#

The following wording - based on Dublin Core - will be used throughout these documents.

  • images: photos (still images) and videos (moving images) acquired by cameras, recording the optical spectrum of light
  • still image: A static visual representation
  • moving image: A series of visual representations imparting an impression of motion when shown in succession
  • image set: a collection of at least one, but usually many, images
  • <tag>: represent various placeholders for information (like variables)