Multifunctional data in a multifunctional landscape – Development of an ontology-based metadata description of near-surface geophysical data

Near-surface geophysical methods are used to characterise soil properties on agricultural sites and are also useful inproviding information on archaeological features and soil dynamics. Metadata standards are essential for making data reusable and interoperable, as well as facilitating its findability andaccessibility, which goes in line with the FAIR principles. The aim of use case is therefore to develop a metadata standard that will later be made available as a tool for datacollection in order to implement the FAIR principles in practice and enable interchangeability. Developed as a joint initiative within the NFDI consortia FAIRagro, NFDI4Objects and NFDI4Earth (Werban et al., 2025)

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-24
DOI
https://doi.org/10.5281/zenodo.19726327
Primary Topic
Research Data Management Practices
Type
article
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article

Multifunctional data in a multifunctional landscape – Development of an ontology-based metadata description of near-surface geophysical data

Claudia Schuetze, Johannes Rabiger‐Völlmer, Ulrike Werban, Till Sonnemann
Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Multifunctional data in a multifunctional landscape – Development of an ontology-based metadata description of near-surface geophysical data

Claudia Schuetze, Johannes Rabiger‐Völlmer, Ulrike Werban, Till Sonnemann
article en

Abstract

Near-surface geophysical methods are used to characterise soil properties on agricultural sites and are also useful inproviding information on archaeological features and soil dynamics. Metadata standards are essential for making data reusable and interoperable, as well as facilitating its findability andaccessibility, which goes in line with the FAIR principles. The aim of use case is therefore to develop a metadata standard that will later be made available as a tool for datacollection in order to implement the FAIR principles in practice and enable interchangeability. Developed as a joint initiative within the NFDI consortia FAIRagro, NFDI4Objects and NFDI4Earth (Werban et al., 2025)

Zenodo (CERN European Organization for Nuclear Research)
University of Bonn (DE), Helmholtz Centre for Environmental Research (DE), German Environment Agency (DE)
Zero hunger
Openalex Percentile: Top 7%
Research Data Management Practices
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Multifunctional data in a multifunctional landscape – Development of an ontology-based metadata description of near-surface geophysical data — Claudia Schuetze, Johannes Rabiger‐Völlmer, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS