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Preprint (Author's original)arXiv.org - Non-exclusive license to distribute, Open
Preprint
Making Sense of Metadata Mess: Alignment & Risk Assessment for Diatom Data Use Case
01 Nov 2024
Abstract
Biologists study Diatoms, a fundamental algae, to assess the health of
aquatic systems. Diatom specimens have traditionally been preserved on analog
slides, where a single slide can contain thousands of these microscopic
organisms. Digitization of these collections presents both metadata challenges
and opportunities. This paper reports on metadata research aimed at providing
access to a digital portion of the Academy of Natural Sciences' Diatom
Herbarium, Drexel University. We report results of a 3-part study covering 1) a
review of relevant metadata standards and a microscopy metadata framework
shared by Hammer et al., 2) a baseline metadata alignment mapping current
diatom metadata properties to standard metadata types, and 3) a metadata risk
analysis associated with the course of standard data curation practices. This
research is part of an effort involving the transfer of these digital slides to
an new system, DataFed, to support global accessible. The final section of this
paper includes a conclusion and discusses next steps.
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Details
- Title
- Making Sense of Metadata Mess: Alignment & Risk Assessment for Diatom Data Use Case
- Creators
- Kio PolsonMarina PotapovaUttam MeenaChad PeiperJoshua BrownJoshua AgarJane Greenberg
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Biodiversity, Earth, and Environmental Science (BEES); Information Science; Mechanical Engineering and Mechanics; Academy of Natural Sciences of Drexel University
- Other Identifier
- 991021955315104721