Changed the platform and/or added some comments

sample-data/data-sources-empty.yaml

@@ -4,7 +4,9 @@ version: 1.0
 file_type: data-source-administration
 name: empty-data-source-admin-file
 # Fill in the correct MITRE ATT&CK enterprise platform(s). Multiple can be included using a list
-# (Windows, Linux, macOS, AWS, GCP, Azure, Azure AD, Office 365, SaaS)
+# - (Windows, Linux, macOS, AWS, GCP, Azure, Azure AD, Office 365, SaaS)
+# Also, take into account which data sources are applicable per platform. For more info see:
+# - https://github.com/rabobank-cdc/DeTTECT/wiki/Data-sources-per-platform
 platform:
 data_sources:
   # A data source is treated as not available when all dimensions of the data quality have a score of 0.

sample-data/data-sources-endpoints.yaml

@@ -3,7 +3,9 @@
 version: 1.0
 file_type: data-source-administration
 name: endpoints-example
-platform: Windows
+platform: ['Windows', 'Azure', 'Azure AD', 'Office 365']
+# The list only contains data sources that are applicable to the above platforms. For more info see:
+# - https://github.com/rabobank-cdc/DeTTECT/wiki/Data-sources-per-platform
 data_sources:
     # A data source is treated as not available when all dimensions of the data quality have a score of 0.
     # If desired you are free to add any key-value pairs.
@@ -619,30 +621,6 @@ data_sources:
           timeliness: 5
           consistency: 5
           retention: 4
-    - data_source_name: AWS CloudTrail logs
-      date_registered:
-      date_connected:
-      products: []
-      available_for_data_analytics: False
-      comment: ''
-      data_quality:
-          device_completeness: 0
-          data_field_completeness: 0
-          timeliness: 0
-          consistency: 0
-          retention: 0
-    - data_source_name: AWS OS logs
-      date_registered:
-      date_connected:
-      products: []
-      available_for_data_analytics: False
-      comment: ''
-      data_quality:
-          device_completeness: 0
-          data_field_completeness: 0
-          timeliness: 0
-          consistency: 0
-          retention: 0
     - data_source_name: Azure OS logs
       date_registered: 2019-11-01
       date_connected: 2019-11-01
@@ -658,7 +636,7 @@ data_sources:
     - data_source_name: Azure activity logs
       date_registered: 2019-11-01
       date_connected: 2019-11-01
-      products: [Log Analytics agent]
+      products: [Azure]
       available_for_data_analytics: True
       comment: ''
       data_quality:
@@ -667,22 +645,10 @@ data_sources:
           timeliness: 5
           consistency: 5
           retention: 3
-    - data_source_name: OAuth audit logs
-      date_registered:
-      date_connected:
-      products: []
-      available_for_data_analytics: False
-      comment: ''
-      data_quality:
-          device_completeness: 0
-          data_field_completeness: 0
-          timeliness: 0
-          consistency: 0
-          retention: 0
     - data_source_name: Office 365 account logs
       date_registered: 2019-11-01
       date_connected: 2019-11-01
-      products: [Microsoft Cloud App Security]
+      products: [O365]
       available_for_data_analytics: True
       comment: ''
       data_quality:
@@ -694,7 +660,7 @@ data_sources:
     - data_source_name: Office 365 audit logs
       date_registered: 2019-11-01
       date_connected: 2019-11-01
-      products: [Microsoft Cloud App Security]
+      products: [O365]
       available_for_data_analytics: True
       comment: ''
       data_quality:
@@ -704,29 +670,17 @@ data_sources:
           consistency: 5
           retention: 3
     - data_source_name: Office 365 trace logs
-      date_registered:
-      date_connected:
-      products: []
-      available_for_data_analytics: False
+      date_registered: 2019-11-01
+      date_connected: 2019-11-01
+      products: [O365]
+      available_for_data_analytics: True
       comment: ''
       data_quality:
-          device_completeness: 0
-          data_field_completeness: 0
-          timeliness: 0
-          consistency: 0
-          retention: 0
-    - data_source_name: Stackdriver logs
-      date_registered:
-      date_connected:
-      products: []
-      available_for_data_analytics: False
-      comment: ''
-      data_quality:
-          device_completeness: 0
-          data_field_completeness: 0
-          timeliness: 0
-          consistency: 0
-          retention: 0
+          device_completeness: 5
+          data_field_completeness: 4
+          timeliness: 5
+          consistency: 5
+          retention: 3
 exceptions:
     # Adding a technique ID below will result in removing that technique in the heat map (meaning not enough data source or quality is available for proper detection).
     # Please note that the below is just an example, many more can exists.