A common ontology for stable isotope data
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. • Developed a method to harmonise environmental using a common ontology. • Simplified data sharing with a flat structured ontology. • The common ontology increases data interoperability across scientific domains, describing the metadata information needed. • Incorporated IUPAC-compliant reporting guidelines to streamline reporting and publication of stable isotope data. • Facilitates cross-domain data reuse and accessibility, implementing FAIR principles.
Authors
- Axel Suckow (ORCID: https://orcid.org/0000-0002-6237-2198)
- Jagoda Crawford (ORCID: https://orcid.org/0000-0001-6021-3794)
- Yujie Shu
- Geoff Fraser (ORCID: https://orcid.org/0000-0001-9504-2331)
- Cath Jackson Ca Hughes
- Athina Puccini (ORCID: https://orcid.org/0000-0002-1023-9088)
- Christoph Gerber (ORCID: https://orcid.org/0000-0003-4339-5746)
- Kathryn Waltenberg (ORCID: https://orcid.org/0000-0002-1629-0597)
- Lian Flick
- Nina Welti
- Regina Campbell
- Alex Leslie
- Steph Hawkins
Institutions
- Commonwealth Scientific and Industrial Research Organisation (AU)
- Geoscience Australia (AU)
- Australian Nuclear Science and Technology Organisation (AU)
Publication Details
- Journal
- Applied Geochemistry
- Published
- 2026-01-06
- DOI
- https://doi.org/10.1016/j.apgeochem.2026.106682
- Primary Topic
- Research Data Management Practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00