Conference paper
Making Sense of Metadata Mess: Alignment and Risk Assessment for Diatom Data Use Case
Metadata and Semantic Research, v 2331, pp 129-140
2025
Featured in Collection : UN Sustainable Development Goals @ Drexel
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 and Risk Assessment for Diatom Data Use Case
- Creators
- Kio PolsonMarina PotapovaUttam MeenaChad PeiperJoshua BrownJoshua AgarJane Greenberg
- Contributors
- Michalis Sfakakis (Editor)Emmanouel Garoufallou (Editor)Matthew Damigos (Editor)Athena Salaba (Editor)Christos Papatheodorou (Editor)
- Publication Details
- Metadata and Semantic Research, v 2331, pp 129-140
- Series
- Communications in Computer and Information Science
- Publisher
- Springer Nature Switzerland; Cham
- Number of pages
- 12
- Grant note
- Metadata Research CenterNSF-OAC: 2320600
This work is supported by NSF-OAC #2320600 and Metadata Research Center
- Resource Type
- Conference paper
- Language
- English
- Academic Unit
- Biodiversity, Earth, and Environmental Science (BEES); Information Science; Mechanical Engineering and Mechanics; Academy of Natural Sciences of Drexel University
- Web of Science ID
- WOS:001456025100011
- Scopus ID
- 2-s2.0-105013958349
- Other Identifier
- 991022032172104721
UN Sustainable Development Goals (SDGs)
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Information Science & Library Science