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preface [2026/08/19 12:31] dkottmeierpreface [2026/08/19 12:32] (current) dkottmeier
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 FAIR thus defines the properties that a well-managed digital research object should exhibit, but it does not provide the common standards or coordinated implementation required to produce those properties. Its practical success depends on research communities agreeing upon and consistently applying persistent identifiers, metadata schemas, semantic artefacts, protocols, licenses, and provenance practices. FAIR thus defines the properties that a well-managed digital research object should exhibit, but it does not provide the common standards or coordinated implementation required to produce those properties. Its practical success depends on research communities agreeing upon and consistently applying persistent identifiers, metadata schemas, semantic artefacts, protocols, licenses, and provenance practices.
  
-This wiki addresses this implementation gap through the Road-to-FAIR Strategy, which provides a framework for the coordinated application of FAIR practices across the Helmholtz Association. Rather than simply assessing individual elements of the FAIR framework, it provides guidance on the selection, prioritization, and consistent implementation of relevant standards, technologies, and community practices. Its aim is to support research data products in achieving the highest practicable level of FAIRness, by harmonizing critical parts of the research data documentation across infrastructures, institutions and organizations.+This wiki addresses this implementation gap through the [[wiki:1_road-to-fair-strategy:|Road-to-FAIR Strategy]], which provides a framework for the coordinated application of FAIR practices across the Helmholtz Association. Rather than simply assessing individual elements of the FAIR framework, it provides guidance on the selection, prioritization, and consistent implementation of relevant standards, technologies, and community practices. Its aim is to support research data products in achieving the highest practicable level of FAIRness, by harmonizing critical parts of the research data documentation across infrastructures, institutions and organizations.
  
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preface.txt · Last modified: by dkottmeier