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hortus:fair:introduction [2026/04/01 17:10] – created savino.frisardihortus:fair:introduction [2026/04/08 12:24] (current) savino.frisardi
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-====== hortus:fair ====== 
- 
 ===== FAIR data, dissemination and impact of your research ===== ===== FAIR data, dissemination and impact of your research =====
  
-Use this section when you need to:+**Use this section when you need to:**
  
   * understand FAIR data principles   * understand FAIR data principles
Line 11: Line 9:
   * track impact and interoperability   * track impact and interoperability
  
-Main roles:+**Main roles:**
   * Contributors / Researchers   * Contributors / Researchers
   * Maintainers   * Maintainers
   * Advanced users   * Advanced users
  
-Related sections: +**Related sections:** 
-  * [[hortus:publish|Create and publish research outputs]] +  * [[hortus:discover|Discover research content]] 
-  * [[hortus:workspace|My Workspace]]+  * [[hortus:workspace|Work in My Workspace]] 
 +  * [[hortus:publish|Create, submit, and publish research outputs]]
  
-HORTUS strongly supports **FAIR data principles** to maximise research impact.+Dissemination begins after structured creation and publication work has already happened. A record that is well described, properly linked, moderated, and visible in the right context is easier to find, understand, cite, export, and reuse. This is why Metrics belongs here rather than in the earlier discovery chapter: analytics and impact are most meaningful once a record is already live and moving through the world.
  
 ---- ----
  
-===== The importance of FAIR data ===== 
  
-FAIR stands for: 
  
-  * **Findable** +===== Summary ===== 
-  * **Accessible** + 
-  * **Interoperable** +FAIR data in HORTUS: 
-  * **Reusable**+ 
 +  improves discoverability 
 +  enables reuse 
 +  supports interoperability 
 +  increases research impact 
 + 
 +Key elements: 
 + 
 +  metadata quality 
 +  * structured schemas 
 +  dissemination strategy 
 +  * lifecycle management 
 + 
 +---- 
 + 
 +===== The importance of FAIR data in research data management===== 
 + 
 +Research data and research outputs become significantly more valuable when they can be **found, understood, accessed, combined, and reused** by other people (and by yourself in the future). This is the purpose of the **FAIR principles** a widely adopted framework for research data management that makes research outputs more useful and sustainable over time.
  
-These principles ensure that research outputs can be:+^ FAIR principle ^ What it means in practice ^ How HORTUS helps ^ 
 +| **Findable** | Others should be able to discover the output through search and structured description. | Marketplace records, keywords, metadata, project links, profile links, and search/filter controls improve findability. | 
 +| **Accessible** | The output should be reachable through stable, understandable access routes. | Published pages, export routes, shareable links, and repository handoff increase access paths. | 
 +| **Interoperable** | The description should be understandable across tools and systems. | Metadata management, structured fields, and integration routes support interoperable description. | 
 +| **Reusable** | Others should be able to understand the object well enough to evaluate reuse. | Licences, metadata, references, project context, version-aware documents, and dissemination workflows strengthen reuse. |
  
-  discovered easily +FAIR is not a requirement to make everything open or public. A resource can be **FAIR even when access is restricted**, as long as the access conditions are clear and the metadata remains discoverable and meaningful.
-  accessed reliably +
-  integrated with other systems +
-  reused in future research+
  
 ---- ----
hortus/fair/introduction.1775056228.txt.gz · Last modified: by savino.frisardi