Metadata Recommendations for Geodetic data: GNSS

Data publications with digital object identifiers (DOI) are key supporting elements for Findable, Accessible, Interoperable and Reusable (FAIR) data (Wilkinson et al. 2016). DOIs were originally developed to provide permanent access to static datasets described in scholarly literature. Currently, they are increasingly being used for both static and dynamic data. DOIs are providing globally unique, persistent and resolvable references of various types of sources (data, software, samples, equipment) and means of rewarding the originators and institutions (through citation). This is important for geodesy, as researchers rely on observational data and operational aspects. Geodetic equipment, observational data and results require a documented mechanism for citation, scientific recognition and reward that can be provided by assigning a DOI. To address these challenges and identify opportunities for improved coordination and advocacy within the geodetic community, GGOS established a Working Group on 'Digital Object Identifiers (DOIs) for Geodetic Datasets' in 2019, transforming it into a GGOS Committee in 2023. This Committee is designated to establish best practices and advocate for the consistent implementation of DOIs across all IAG Services and in the greater geodetic community. This document presents the GGOS DOI Committee's first set of recommendations for DOI metadata for geodetic data. These recommendations have been developed for GNSS data and include specific guidance on different GNSS data products. However, many sections of this document are not specific to GNSS data and may also be applicable to other geodetic data.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-29
DOI
https://doi.org/10.5281/zenodo.16992829
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Metadata Recommendations for Geodetic data: GNSS

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Metadata Recommendations for Geodetic data: GNSS

article en

Abstract

Data publications with digital object identifiers (DOI) are key supporting elements for Findable, Accessible, Interoperable and Reusable (FAIR) data (Wilkinson et al. 2016). DOIs were originally developed to provide permanent access to static datasets described in scholarly literature. Currently, they are increasingly being used for both static and dynamic data. DOIs are providing globally unique, persistent and resolvable references of various types of sources (data, software, samples, equipment) and means of rewarding the originators and institutions (through citation). This is important for geodesy, as researchers rely on observational data and operational aspects. Geodetic equipment, observational data and results require a documented mechanism for citation, scientific recognition and reward that can be provided by assigning a DOI. To address these challenges and identify opportunities for improved coordination and advocacy within the geodetic community, GGOS established a Working Group on 'Digital Object Identifiers (DOIs) for Geodetic Datasets' in 2019, transforming it into a GGOS Committee in 2023. This Committee is designated to establish best practices and advocate for the consistent implementation of DOIs across all IAG Services and in the greater geodetic community. This document presents the GGOS DOI Committee's first set of recommendations for DOI metadata for geodetic data. These recommendations have been developed for GNSS data and include specific guidance on different GNSS data products. However, many sections of this document are not specific to GNSS data and may also be applicable to other geodetic data.

Zenodo (CERN European Organization for Nuclear Research)
University of Bern (CH), GNS Science (NZ), Natural Resources Canada (CA), National Oceanic and Atmospheric Administration (US), British Oceanographic Data Centre (GB), Geoscience Australia (AU), Scripps Institution of Oceanography (US), Tokyo University of Science (JP), University of Colorado Boulder (US), Royal Observatory of Belgium (BE), Hartebeesthoek Radio Astronomy Observatory (ZA), European Space Agency (FR), University of Colorado System (US), Collecte Localisation Satellites (France) (FR), South African Radio Astronomy Observatory (ZA), Federal Agency for Cartography and Geodesy (DE), Institut de Recherche en Informatique de Toulouse (FR), GFZ Helmholtz Centre for Geosciences (DE), Institut de Recherche pour le Développement (FR), UNAVCO (US), Technical University of Munich (DE), Advanced Institute of Industrial Technology (JP), The University of Tokyo (JP), Politecnico di Milano (IT)
Partnerships for the goals
Openalex Percentile: Top 58%
Geochemistry and Geologic Mapping
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