Merge pull request #5311 from khaled196/fair

add videos to GTN tutorials

topics/computational-chemistry/tutorials/med-chem-data/tutorial.md

@@ -49,6 +49,13 @@ follow_up_training:
   -
     type: "internal"
     topic_name: computational-chemistry
+
+recordings:
+  - speakers:
+    - wee-snufkin
+    date: '2024-09-12'
+    length: 48M1S
+    youtube_id: "JWV6IiD6mPE"
 ---
 
 The development of medicinal chemistry is advancing very rapidly. Big pharmaceutical companies, research institutes and universities are working on ground-breaking solutions to help patients combat all kinds of diseases. During that development process, tons of data are generated – not only from the lab environment but also from clinical trials. Given that the discovery of more potent, safer and cheaper drugs is the ultimate goal of all research bodies, we should all focus on making the data we gather FAIR: **F**indable, **A**ccessible, **I**nteroperable, and **R**eusable to push the boundaries of drug development even further. 

topics/fair/tutorials/bioimage-REMBI/tutorial.md

@@ -47,6 +47,14 @@ requirements:
 follow_up_training:
   - type: "internal"
     topic_name: imaging
+
+recordings:
+  - speakers:
+    - lcooper
+    date: '2024-09-12'
+    length: 48M14S
+    youtube_id: "QA82MzWle_w"
+
 ---
 
 # Metadata guidelines for bioimaging data

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

@@ -37,6 +37,13 @@ requirements:
     tutorials:
       - fair-intro
 
+recordings:
+  - speakers:
+    - SNG888
+    date: '2024-09-12'
+    length: 1H2M54S
+    youtube_id: "48hRQM0yvao"
+
 ---
 
 

topics/single-cell/tutorials/EBI-retrieval/tutorial.md

@@ -51,9 +51,17 @@ follow_up_training:
     tutorials:
         - scrna-case_basic-pipeline
 
+recordings:
+  - speakers:
+    - hexhowells
+    date: '2024-09-12'
+    length: 18M54S
+    youtube_id: "Yx7m7Uh4tVg"
+
 tags:
   - data import
   - data management
+
 ---
 
 # Introduction

topics/single-cell/tutorials/scrna-ncbi-anndata/tutorial.md

@@ -41,6 +41,13 @@ follow_up_training:
     type: "internal"
     topic_name: single-cell
 
+recordings:
+  - speakers:
+    - hexhowells
+    date: '2020-09-12'
+    length: 26M11S
+    youtube_id: "abqwwwR1dbk"
+
 ---
 
 The goal of this tutorial is to take raw NCBI data from some published research, convert the raw data into the AnnData format then add metadata to the object so that it can be used for further processing / analysis. Here we will look at the steps to obtain, understand, and manipulate the data in order for it to be properly processed.