A common ontology for stable isotope data

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Authors: Nina Welti, Steph Hawkins, Kathryn Waltenberg, Cath Jackson Ca Hughes, Jagoda Crawford, Yanfeng Shu, Regina Campbell, Alex Leslie, Athina Puccini, Christoph Gerber, Axel Suckow, Geoff Fraser
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Abstract

Stable isotope data has broad applicability across multiple science domains. As more datasets are published and stable isotope data systems are built, the findability and accessibility of stable isotope data increases. However, due to a lack of a common reporting framework, the interoperability of these data systems is limited. A common ontology is needed so stable isotope data systems and published datasets can be translated into a common format without disrupting existing data models or introducing complex workflows. This common ontology for stable isotope data and associated metadata offers a methodology to achieve cross-domain interoperability of environmental stable isotope data. It functions as a straightforward data stewardship tool to enhance the findability, accessibility, interoperability, and reuse (FAIR principles) of stable isotope data across disciplines. Ultimately, this ontology aims to make existing data systems cohesive, interoperable, and discoverable across the entire measurement pipeline, encompassing publicly accessible repositories, peer-reviewed literature, and grey literature.

Fields of Study & Subjects

Research Data Management Practices Isotope Analysis in Ecology Scientific Computing and Data Management

Publication details

Journal / source
Applied Geochemistry
Volume
198
Pages
106682–106682
Publication date
6 January 2026
Language
EN