diff --git a/rdmorganiser/questions/training.xml b/rdmorganiser/questions/training.xml
index 4510ce8f..38275b8a 100644
--- a/rdmorganiser/questions/training.xml
+++ b/rdmorganiser/questions/training.xml
@@ -371,10 +371,10 @@ Además las pautas específicas de la disciplina sobre el manejo de los datos de
Classification du contenu
Classificazione del contenuto
-
+
https://rdmorganiser.github.io/terms
data-dataset
- training/content-classification/data-dataset
+ training/organization/data-dataset
@@ -424,13 +424,13 @@ Una raccolta di dati può ad esempio contenere più file di tipo differente (num
raccolte di dati
-
+
https://rdmorganiser.github.io/terms
description
- training/content-classification/data-dataset/description
+ training/organization/data-dataset/description
-
+
False
1
Please briefly describe the data type and / or the method used to create or collect the data, for example:
@@ -492,10 +492,10 @@ Si prega di spiegare anche se la raccolta di dati è fissa e memorizzata in un c
-
+
https://rdmorganiser.github.io/terms
data-reuse
- training/content-classification/data-reuse
+ training/organization/data-reuse
@@ -523,13 +523,13 @@ Si prega di spiegare anche se la raccolta di dati è fissa e memorizzata in un c
raccolte di dati
-
+
https://rdmorganiser.github.io/terms
scenario
- training/content-classification/data-reuse/scenario
+ training/organization/data-reuse/scenario
-
+
False
1
It is important to set the fundamental course as to whether or not the data will be permitted for reuse.
@@ -581,10 +581,10 @@ Escludendo questi casi, il potenziale per il riutilizzo va soppesato di fronte a
-
+
https://rdmorganiser.github.io/terms
data-reproducibility
- training/content-classification/data-reproducibility
+ training/organization/data-reproducibility
@@ -612,13 +612,13 @@ Escludendo questi casi, il potenziale per il riutilizzo va soppesato di fronte a
raccolte di dati
-
+
https://rdmorganiser.github.io/terms
reproducibility
- training/content-classification/data-reproducibility/reproducibility
+ training/organization/data-reproducibility/reproducibility
-
+
False
2
Some data can, technically, be created anew at any time, as is the case with scientific experiments or digitised versions of analog objects (as long as the originals are still there and in good shape). However, this can consume a considerable amount of time and cost. With respect to long-term preservation, the effort of re-creation has to be weighed up against the effort of long-term preservation.