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start [2026/08/04 13:31] – [Preface] esoedingstart [2026/08/04 13:36] (current) – [The Helmholtz Metadata Collaboration] esoeding
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 The Helmholtz Metadata Collaboration promotes the qualitative enrichment of research data through high-quality metadata and supports the implementation of this approach throughout the Helmholtz Association. The Helmholtz Metadata Collaboration promotes the qualitative enrichment of research data through high-quality metadata and supports the implementation of this approach throughout the Helmholtz Association.
  
-HMC develops and implements concepts, services, and technologies for the sustainable management of research data. Its principal objective is to ensure that the breadth and depth of research data produced by the Helmholtz Centres can be discovered, accessed, interpreted, and reused by the wider scientific community in accordance with the FAIR Guiding Principles.¹ The objective of enabling FAIR research data across the Helmholtz Association is also reflected in the *Recommendations for Policies of the Helmholtz Centres on Research Data Management*.²+HMC develops and implements concepts, services, and technologies for the sustainable management of research data. Its principal objective is to ensure that the breadth and depth of research data produced by the Helmholtz Centres can be discovered, accessed, interpreted, and reused by the wider scientific community in accordance with the **FAIR Guiding Principles**.[1] The objective of enabling FAIR research data across the Helmholtz Association is also reflected in the **Recommendations for Policies of the Helmholtz Centres on Research Data Management**.[2]
  
 Research data, metadata, information, and knowledge systems are created and maintained by a wide range of individuals, institutions, and stakeholder groups. The establishment of a harmonized, interoperable, and ultimately FAIR research data space therefore requires the alignment of practices, responsibilities, and technical processes across heterogeneous data infrastructures. Such alignment must be implemented not only within technical systems but also through the coordinated activities of the people and organizations responsible for producing, managing, curating, and providing access to research data. Research data, metadata, information, and knowledge systems are created and maintained by a wide range of individuals, institutions, and stakeholder groups. The establishment of a harmonized, interoperable, and ultimately FAIR research data space therefore requires the alignment of practices, responsibilities, and technical processes across heterogeneous data infrastructures. Such alignment must be implemented not only within technical systems but also through the coordinated activities of the people and organizations responsible for producing, managing, curating, and providing access to research data.
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 For questions, comments and suggestions, please write to [[hmc-hub-ee@geomar.de|hmc-hub_ee@geomar.de]]. For questions, comments and suggestions, please write to [[hmc-hub-ee@geomar.de|hmc-hub_ee@geomar.de]].
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 +====== References ======
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 +[1] Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data 3:160018 doi: 10.1038/sdata.2016.18 (2016)
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 +[2] Empfehlungen für Richtlinien der Helmholtz-Zentren zum Umgang mit Forschungsdaten, 2019, Helmholtz Open Science, https://os.helmholtz.de/open-research-data/forschungsdaten-policies/ doi: doi.org/10.2312/os.helmholtz.002
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