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 The [[https://www.helmholtz-metadaten.de/en|Helmholtz Metadata Collaboration (HMC)]] promotes the qualitative enrichment of research data by means of metadata – and implements this approach across the whole organization. The [[https://www.helmholtz-metadaten.de/en|Helmholtz Metadata Collaboration (HMC)]] promotes the qualitative enrichment of research data by means of metadata – and implements this approach across the whole organization.
  
-HMC develops and implements concepts and technologies for a sustainable handling of research data through high-quality metadata. Its main goal is to make the depth and breadth of research data produced by Helmholtz Centers findable, accessible, interoperable and reusable (FAIR Principles [1]) for the whole science community. The intention to ensure FAIR data across Helmholtz is also contained in the "Recommendations for Policies of the Helmholtz Centers on Research Data Management" [2].+HMC develops and implements concepts and technologies for a sustainable handling of research data through high-quality metadata. Its main goal is to make the depth and breadth of research data produced by Helmholtz Centers findable, accessible, interoperable and reusable (FAIR Principles((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). ))) for the whole science community. The intention to ensure FAIR data across Helmholtz is also contained in the "Recommendations for Policies of the Helmholtz Centers on Research Data Management"((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)).
  
 Many people and stakeholder groups produce data relevant for research data, information and knowledge systems. In order to create a harmonized interoperable and ultimately **[[wiki:0_vision-and-mission:start|FAIR data space]]**, practices and processes need to be aligned across our data systems and implemented by these people and stakeholders. Many people and stakeholder groups produce data relevant for research data, information and knowledge systems. In order to create a harmonized interoperable and ultimately **[[wiki:0_vision-and-mission:start|FAIR data space]]**, practices and processes need to be aligned across our data systems and implemented by these people and stakeholders.
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 Both working groups formed by the [[https://helmholtz-metadaten.de/en/earth-and-environment/overview|HMC Hub Earth and Environment]] and the [[https://earth-data.de/about|DataHub Earth and Environment]] Both working groups formed by the [[https://helmholtz-metadaten.de/en/earth-and-environment/overview|HMC Hub Earth and Environment]] and the [[https://earth-data.de/about|DataHub Earth and Environment]]
  
-===References=== 
-[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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