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Title:           Structuring climate service user groups for capacity building: A European Delphi-based approach
Subject:         Climate Services, 38 (2025) 100575. doi:10.1016/j.cliser.2025.100575
Keywords:        Capacity building,Target groups,Climate services knowledge and skills,Competences,Delphi method,Consenus
Author:          Maria del Pozo Garcia
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     Item: 
      Title: Structuring climate service user groups for capacity building: A European Delphi-based approach
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       Item: 
        Title: 1 Introduction
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         Item: 
          Title: 1.1 The Consequences of inadequate capacity building in climate services
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         Item: 
          Title: 1.2 Existing Limitations in climate services Capacity-Building efforts
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         Item: 
          Title: 1.3 Advancing a structured approach to capacity building
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         Item: 
          Title: 1.4 Study Objectives
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        Title: 2 Method
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          Title: 2.1 Initial target groups and sub-groups from user learning services
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          Title: 2.2 Expert panel
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          Title: 2.3 Delphi method and survey development
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          Title: 2.4 Survey Procedure
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          Title: 2.5 Survey analysis
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        Title: 3 Results
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          Title: 3.1 Target groups
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          Title: 3.2 Producer’s sub-groups
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          Title: 3.3 Intermediary’s sub-groups
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          Title: 3.4 Reach-Out sub-group
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          Title: 3.5 Enablers sub-groups
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        Title: 4 Discussion
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        Title: Declaration of Generative AI and AI-assisted technologies in the writing process.
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       Item: 
        Title: CRediT authorship contribution statement
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        Title: Declaration of competing interest
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        Title: Acknowledgements
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       Item: 
        Title: Appendix A Supplementary data
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       Item: 
        Title: Data availability
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       Item: 
        Title: References
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    Author: Maria del Pozo Garcia
    Subject: Climate Services, 38 (2025) 100575. doi:10.1016/j.cliser.2025.100575
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  Checksum: f2145288
   Type: CRC32
  Checksum: df61264ddf694f4c4bb3ef31ec7eacec
   Type: MD5
  Checksum: 159174d99d4f96b3ee681ddb57dbd15e63ced766
   Type: SHA-1
  Checksum: 3455f620e47f668769287abc3a2923c0d03a861cdbc3c74880c3303c43876400
   Type: SHA-256