A common ontology for stable isotope data
| dc.contributor.author | Welti, N | en_AU |
| dc.contributor.author | Hawkins, S | en_AU |
| dc.contributor.author | Waltenberg, K | en_AU |
| dc.contributor.author | Hughes, CE | en_AU |
| dc.contributor.author | Crawford, J | en_AU |
| dc.contributor.author | Shu, YF | en_AU |
| dc.contributor.author | Campbell, R | en_AU |
| dc.contributor.author | Leslie, A | en_AU |
| dc.contributor.author | Puccini, A | en_AU |
| dc.contributor.author | Gerber, C | en_AU |
| dc.contributor.author | Suckow, AO | en_AU |
| dc.contributor.author | Fraser, G | en_AU |
| dc.contributor.author | Flick, L | en_AU |
| dc.date.accessioned | 2026-08-06T23:14:45Z | en_AU |
| dc.date.issued | 2026-02 | en_AU |
| dc.date.statistics | 2026-07-24 | en_AU |
| dc.description.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. © 2026 The Authors. Published by Elsevier Ltd. Open Access CC BY 4.0. | en_AU |
| dc.description.sponsorship | This project received financial support (https://doi.org/10.47486/DC103) from the Australian Research Data Commons (ARDC) as part of their Food Security Data Challenges program (https://ardc.edu.au/program/food-security-data-challenges/). The project is a partnership between the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Geoscience Australia (GA), the Australian Nuclear Science and Technology Organisation (ANSTO), the National Measurement Institute and ARDC. The Food Security Data Challenges program is developing innovative digital infrastructure solutions to current data challenges in food security research, with the aim of improving Australia's production, consumption and distribution of safe and high-quality food. The ARDC is enabled by the National Collaborative Research Infrastructure Strategy (NCRIS). The authors would like to acknowledge the members of the Science and User Group who provided feedback throughout the ontology development: Ryan McAllister, Anthony Dosseto, Georgy Falster, Justin Maroccia, Nicole Stubing, Greg Skrzypek. The authors would like to acknowledge Robert Barlow, Ellyse Bunney, Brendan Boesen, Fong Liu, Mark Lewin, Abhijt Paul, Aaron Sedgmen, Steve Szarvas, Tim Stobaus, and Stefan Terzer for providing additional input and insight. | en_AU |
| dc.identifier.articlenumber | 106682 | en_AU |
| dc.identifier.citation | Welti, N., Hawkins, S., Waltenberg, K., Hughes, C., Crawford, J., Shu, Y., Campbell, R., Leslie, A., Puccini, A., Gerber, C., Suckow, A., Fraser, G., & Flick, L. (2026). A common ontology for stable isotope data. Applied Geochemistry, 198, 106682. doi:10.1016/j.apgeochem.2026.106682 | en_AU |
| dc.identifier.issn | 0883-2927 | en_AU |
| dc.identifier.journaltitle | Applied Geochemistry | en_AU |
| dc.identifier.uri | https://doi.org/10.1016/j.apgeochem.2026.106682 | en_AU |
| dc.identifier.uri | https://apo.ansto.gov.au/handle/10238/17298 | en_AU |
| dc.identifier.volume | 198 | en_AU |
| dc.language | English | en_AU |
| dc.language.iso | en | en_AU |
| dc.publisher | Elsevier | en_AU |
| dc.subject | Stable isotopes | en_AU |
| dc.subject | Data | en_AU |
| dc.subject | Information systems | en_AU |
| dc.subject | Geochemistry | en_AU |
| dc.subject | Nuclear data collections | en_AU |
| dc.subject | Standards | en_AU |
| dc.subject | Machine Learning | en_AU |
| dc.title | A common ontology for stable isotope data | en_AU |
| dc.type | Journal Article | en_AU |