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start [2026/08/19 12:10] – dkottmeierstart [2026/08/20 10:40] (current) – dkottmeier
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 /*Alternative: Metadata Management Recommendations and Best Practices*/ /*Alternative: Metadata Management Recommendations and Best Practices*/
 /* /*
-In this Wiki, the HMC Hub Earth and Environment and its partners will **formulate recommendations** for such aligned practices for the community. We are making concrete suggestions for the implementation and support with practical suggestions for such procedures.+In this Wiki, the HMC Hub Earth and Environment and its partners will **formulate [[wiki:3_implementation:|recommendations]]** for such aligned practices for the community. We are making concrete suggestions for the implementation and support with practical suggestions for such procedures.
  
 To achieve FAIR data across the various Helmholtz Earth and Environment data infrastructures (DIS), we have developed the **[[wiki:1_road-to-fair-strategy:start|Road-to-FAIR-Strategy]]**. This strategy describes a number of coordinated efforts. As a first step, the existing DIS and their interfaces are examined to identify best practices that can serve as models. Based on this, different committees work together to develop concrete implementation steps for specific goals. For each agreed-upon building block, concrete recommendations are formulated and documented. These recommendations are developed and presented in this Wiki as a living handbook and will evolve over time as work progresses. To achieve FAIR data across the various Helmholtz Earth and Environment data infrastructures (DIS), we have developed the **[[wiki:1_road-to-fair-strategy:start|Road-to-FAIR-Strategy]]**. This strategy describes a number of coordinated efforts. As a first step, the existing DIS and their interfaces are examined to identify best practices that can serve as models. Based on this, different committees work together to develop concrete implementation steps for specific goals. For each agreed-upon building block, concrete recommendations are formulated and documented. These recommendations are developed and presented in this Wiki as a living handbook and will evolve over time as work progresses.
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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. The Road-to-FAIR Strategy provides the framework through which these technical, organizational, and procedural aspects can be coordinated and translated into actionable recommendations. 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. The Road-to-FAIR Strategy provides the framework through which these technical, organizational, and procedural aspects can be coordinated and translated into actionable recommendations.
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 Within this wiki, the HMC Hub Earth and Environment and its partners from the Helmholtz DataHub Earth and Environment formulate recommendations aligning research data management practices across the Earth and Environment community. The wiki translates general objectives into concrete implementation guidance and documents the recommendations developed through the Road-to-FAIR Strategy. Within this wiki, the HMC Hub Earth and Environment and its partners from the Helmholtz DataHub Earth and Environment formulate recommendations aligning research data management practices across the Earth and Environment community. The wiki translates general objectives into concrete implementation guidance and documents the recommendations developed through the Road-to-FAIR Strategy.
  
-The Road-to-FAIR Strategy provides the overarching framework for identifying shared requirements, developing implementation measures, and coordinating their adoption across heterogeneous infrastructures. Its structure and individual components are described in the dedicated Road-to-FAIR Strategy chapter.+The [[wiki:1_road-to-fair-strategy:|Road-to-FAIR Strategy]] provides the overarching framework for identifying shared requirements, developing implementation measures, and coordinating their adoption across heterogeneous infrastructures. Its structure and individual components are described in the dedicated Road-to-FAIR Strategy chapter.
  
 As an initial step, existing data infrastructures and their interfaces are examined in order to identify established practices, recurring challenges, and approaches that may serve as transferable models. On this basis, relevant committees and stakeholder groups collaborate to define implementation measures for specific objectives. For each agreed Road-to-FAIR building block, concrete recommendations are developed and documented. These recommendations are presented in this wiki as part of a living handbook and are revised as technical environments, community practices, and institutional requirements evolve. As an initial step, existing data infrastructures and their interfaces are examined in order to identify established practices, recurring challenges, and approaches that may serve as transferable models. On this basis, relevant committees and stakeholder groups collaborate to define implementation measures for specific objectives. For each agreed Road-to-FAIR building block, concrete recommendations are developed and documented. These recommendations are presented in this wiki as part of a living handbook and are revised as technical environments, community practices, and institutional requirements evolve.
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 To support consistency and transparency, recommendations are documented according to a common structure and a shared set of guiding questions. Their development considers two complementary perspectives: the substantive discussion and community agreement concerning the intended outcome, and the organizational, administrative, and technical measures required for its implementation. To support consistency and transparency, recommendations are documented according to a common structure and a shared set of guiding questions. Their development considers two complementary perspectives: the substantive discussion and community agreement concerning the intended outcome, and the organizational, administrative, and technical measures required for its implementation.
  
-Each step necessary for implementation must therefore be examined individually. The perspectives, responsibilities, and requirements of the relevant stakeholder groups are considered in order to identify dependencies and influencing factors. The processes through which procedures are discussed, agreed upon, and established are also documented, including both bottom-up processes originating within communities and infrastructures and top-down processes arising from institutional strategies and policies.+Each step necessary for [[wiki:3_implementation:|implementation]] must therefore be examined individually. The perspectives, responsibilities, and requirements of the relevant stakeholder groups are considered in order to identify dependencies and influencing factors. The processes through which procedures are discussed, agreed upon, and established are also documented, including both bottom-up processes originating within communities and infrastructures and top-down processes arising from institutional strategies and policies.
  
 This approach provides a basis for clarifying and improving procedures, responsibilities, and required actions. The successful implementation of FAIR practices ultimately depends on the active participation of the identified stakeholders and on their willingness and ability to assume clearly defined responsibilities. This approach provides a basis for clarifying and improving procedures, responsibilities, and required actions. The successful implementation of FAIR practices ultimately depends on the active participation of the identified stakeholders and on their willingness and ability to assume clearly defined responsibilities.
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