add introductions and learining path

learning-pathways/fair-training.md

@@ -0,0 +1,50 @@
+---
+layout: learning-pathway
+title: FAIR Training
+description: |
+  The FAIR data management training learning pathway teaches you how to organise, describe, and store research data according to the FAIR principles (Findable, Accessible, Interoperable, Reusable).
+type: use
+tags: [fair, dmp, data management, data stewardship]
+
+editorial_board:
+  - simleo
+  - ilveroluca
+  - stain
+  - pauldg
+  - kkamieniecka
+  - poterlowicz-lab
+funding:
+- ELIXIR-UK-DaSH
+
+
+pathway:
+  - section: "Module 1: FAIR Data Management"
+    description: |
+       This FAIR data management learning pathway empowers clinicians to effectively organise, document, and share patient data for research and improved care."
+    tutorials:
+      - name: fair-intro
+        topic: : introduction
+      - name: data-management
+        topic: : data management
+      - name: fair-clinical
+        topic: : data management
+
+
+pathway:
+  - section: "Module 2: FAIR Pointers"
+    description: |
+       This learning path aims to teach you the basics FAIR data and signpost to other useful learning materials and resources.  You will learn FAIR from the perspective of the 15 FAIR Principles published in 2016. You will learn about FAIR, its origins and the FAIR Principles using real examples of FAIR data in the public domain.  The 15 FAIR Principles will be summarised using four encompassing characteristics: metadata, data registration, access and persistent identifiers.
+    tutorials:
+      - name: fair-origin
+        topic: : FAIR Pointers
+      - name: fair-matadata
+        topic: : FAIR Pointers
+      - name: fair-data-registration
+        topic: : FAIR Pointers
+      - name: fair-access
+        topic: : FAIR Pointers
+      - name: fair-persistant-identifiers
+        topic: : FAIR Pointers
+
+
+---

topics/fair/tutorials/fair-access/tutorial.md

@@ -58,6 +58,7 @@ requirements:
       - fair-metadata
       - fair-data-registration
 ---
+Data access including levels of access are described.  Learners will be able to illustrate data access in terms of the FAIR Principles using companion terms including communications protocol and authentication.  Learners will also be able to interpret the data usage licence associated with different data sets
 
 > <agenda-title></agenda-title>
 >

topics/fair/tutorials/fair-data-registration/tutorial.md

@@ -57,6 +57,7 @@ requirements:
       - fair-metadata
 ---
 
+The concept of data registration is defined as well as ways in which data registration can be achieved.  Learners will be able to describe why indexed data repositories are important as well as resources enabling you to choose a searchable repository.
 
 > <agenda-title></agenda-title>
 >
@@ -67,6 +68,9 @@ requirements:
 >
 {: .agenda}
 
+
+
+
 # Data registration and the FAIR Principles
 Data registration relates to the following 3 FAIR Principles (Table 3.1).  
 We will discuss and signpost these in this Episode.

topics/fair/tutorials/fair-metadata/tutorial.md

@@ -55,6 +55,8 @@ requirements:
       - fair-origin
 ---
 
+The term metadata is defined along with what constitutes rich metadata.  Learners will be able to recall examples of community/domain standards that apply to data and metadata.
+
 > <agenda-title></agenda-title>
 >
 > In this tutorial, we will cover:
@@ -65,6 +67,7 @@ requirements:
 {: .agenda}
 
 
+
 # Metadata and the FAIR Principles
 Metadata relates most directly to the following 10 FAIR Principles highlighted in Table 2.1.  We will discuss and signpost these in this episode.
 

topics/fair/tutorials/fair-origin/tutorial.md

@@ -54,6 +54,8 @@ requirements:
       - fair-intro
 ---
 
+FAIR as an acronym, its origins and its guiding principles are introduced.  Learners will be able to explain the difference between FAIR and open data and contextualise the main principles of FAIR around the common characteristics of identifiers, access, metadata and registration.
+
 > <agenda-title></agenda-title>
 >
 > In this tutorial, we will cover:
@@ -63,6 +65,8 @@ requirements:
 >
 {: .agenda}
 
+
+
 # FAIR
 
 The concepts underlying the FAIR principles are intuitively grounded in good scientific practice, though formalising them as easily measurable is not straightforward.  Being completely ‘FAIR’ is somewhat of an ideal, where it is often more pragmatic to be ’FAIR enough’ for a particular purpose or use case.

topics/fair/tutorials/fair-persistent-identifiers/tutorial.md

@@ -53,6 +53,7 @@ requirements:
       - fair-access
 ---
 
+The persistent identifier is defined.  Learners will be able to define the structure of an identifier and explain its importance.  
 
 > <agenda-title></agenda-title>
 >