#GBIF #BiodiversityInformatics #NaturalHistoryCollections
#OpenData #FAIRdata #OpenScience
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Biodiversity Informatics is a diamond open-access journal exploring the digital dimension of biodiversity: data, informatics, AI, visualization, and analysis. No APCs, continuous publication, peer-reviewed. https://journals.ku.edu/jbi/index
#GBIF #BiodiversityInformatics #NaturalHistoryCollections
#OpenData #FAIRdata #OpenScience
Working with biodiversity images means working with:
data, law, infrastructure, and time. This paper is a reminder that how we access images shapes the knowledge we build from them.
π Read the paper: doi.org/10.17161/bi....
This paper doesnβt stop at diagnosing the problem.
Authors propose practical solutions, including:
β’ incremental image downloads
β’ license-aware workflows
β’ provider-level filtering
β’ strategies to reduce link rot
These issues matter for:
β’ reproducibility
β’ legal reuse
β’ long-term accessibility
β’ trustworthy biodiversity workflows
Ignoring them can silently undermine research at scale.
The paper identifies four key challenges when downloading specimen images from GBIF:
1οΈβ£ Licenses β what can you legally reuse?
2οΈβ£ Citation β how should images be credited?
3οΈβ£ Providers β filtering by institution or source
4οΈβ£ Link rot β images that disappear over time
Images are not just βdataβ.
Specimen images underpin:
β’ machine learning
β’ image analysis
β’ large-scale biodiversity research
But reusing them responsibly requires more than a download button.
Working with specimen images from Global Biodiversity Information Facility (GBIF)?
This paper breaks down why downloading images is trickier than it looksβand how to do it right.
π Biodiversity Informatics
π DOI: 10.17161/bi.v20i1.24326
What do we mean by biodiversity informatics?
The science of integrating biodiversity data, computational tools, and analytical frameworks to understand life on Earth π¬π.
π± Welcome to Biodiversity Informatics!
A diamond open-access journal at the intersection of biodiversity, data, informatics & AI.
No APCs. No paywalls. Just open science.
π journals.ku.edu/jbi