Differences

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--- hortus:fair:introduction [2026/04/07 12:34] – savino.frisardi
+++ hortus:fair:introduction [2026/04/08 12:24] (current) – savino.frisardi
@@ Line 1: / Line 1: @@
 ===== 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
@@ Line 9: / Line 9: @@
   * track impact and interoperability
-Main roles:
+**Main roles:**
   * Contributors / Researchers
   * Maintainers
   * 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]]
 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.
+----
+===== Summary =====
+FAIR data in HORTUS:
+  * improves discoverability
+  * enables reuse
+  * supports interoperability
+  * increases research impact
+Key elements:
+  * metadata quality
+  * structured schemas
+  * dissemination strategy
+  * lifecycle management
 ----
@@ Line 24: / Line 45: @@
 ===== 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.
+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.
 ^ FAIR principle ^ What it means in practice ^ How HORTUS helps ^
@@ Line 32: / Line 53: @@
 | **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. |
-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.
+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.
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