Making marine image data FAIR
Schoening, Timm; Durden, Jennifer M. ORCID: https://orcid.org/0000-0002-6529-9109; Faber, Claas; Felden, Janine; Heger, Karl; Hoving, Henk-Jan T.; Kiko, Rainer; Köser, Kevin; Krämmer, Christopher; Kwasnitschka, Tom; Möller, Klas Ove; Nakath, David; Naß, Andrea; Nattkemper, Tim W.; Purser, Autun; Zurowietz, Martin. 2022 Making marine image data FAIR. Scientific Data, 9 (1). 10.1038/s41597-022-01491-3
Before downloading, please read NORA policies.Preview |
Text
s41597-022-01491-3.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (2MB) | Preview |
Abstract/Summary
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 data standards, image data collected from the marine environment are increasing in heterogeneity, preventing objective comparison. The extraction of actionable information thus remains challenging, particularly for researchers not directly involved with the image data collection. Standardized formats and procedures 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. The FAIR principles (Findable, Accessible, Interoperable, Reusable) provide a framework for such data management goals. We propose the use of image FAIR Digital Objects (iFDOs) and present an infrastructure environment to create and exploit such FAIR digital objects. We show how these iFDOs can be created, validated, managed and stored, and which data associated with imagery should be curated. The goal is to reduce image management overheads while simultaneously creating visibility for image acquisition and publication efforts.
Item Type: | Publication - Article |
---|---|
Digital Object Identifier (DOI): | 10.1038/s41597-022-01491-3 |
ISSN: | 2052-4463 |
Date made live: | 26 Jul 2022 11:23 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/532985 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year