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--- wiki:1_road-to-fair-strategy:start [2026/08/19 12:24] – dkottmeier
+++ wiki:1_road-to-fair-strategy:start [2026/08/19 12:42] (current) – dkottmeier
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 ====== The Road-to-FAIR Strategy ======
-The Road-to-FAIR Strategy provides the implementation framework for realizing the HMC vision described above. As discussed in the Preface, the FAIR Guiding Principles define desired properties but do not prescribe the standards, technologies, responsibilities, or organizational processes through which these properties should be achieved.
+The Road-to-FAIR Strategy provides the implementation framework for realizing the HMC vision described above. As discussed in the [[:preface|Preface]], the FAIR Guiding Principles define desired properties but do not prescribe the standards, technologies, responsibilities, or organizational processes through which these properties should be achieved.
 The Road-to-FAIR Strategy translates these general objectives into coordinated and actionable measures. It provides a common structure through which technical, semantic, organizational, and procedural activities can be related to one another, prioritized, and evaluated. This is particularly important because research data management encompasses a broad range of interdependent topics, including metadata quality, semantic interoperability, institutional responsibilities, technical infrastructures, and readiness for emerging forms of data-intensive research.
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 ==== 1. Defining the FAIR Building Blocks ====
-The FAIR building blocks define the principal implementation objectives of the Road-to-FAIR Strategy. They provide a structured means of assessing which elements of FAIR are already supported and where further coordinated action is required.
+The [[..:2_fair-building-blocks:|FAIR building blocks]] define the principal implementation objectives of the Road-to-FAIR Strategy. They provide a structured means of assessing which elements of FAIR are already supported and where further coordinated action is required.
 Within the Helmholtz Research Field Earth and Environment, Findability and Accessibility are comparatively well supported for data deposited in established institutional or disciplinary repositories. Repository registries and discovery services, including re3data, FAIRsharing, and OpenAIRE, assist users in identifying appropriate repositories and locating relevant datasets. Open-science policies further support access to research data, while the provision of metadata for restricted datasets enables their discovery and communicates the conditions under which access may be obtained.