diff --git a/SAS/TMSS/backend/src/tmss/tmssapp/models/specification.py b/SAS/TMSS/backend/src/tmss/tmssapp/models/specification.py
index d176a162ea702646f041790b1639dc6408736b58..43fcac7128d74571d92f609e72eada025c477986 100644
--- a/SAS/TMSS/backend/src/tmss/tmssapp/models/specification.py
+++ b/SAS/TMSS/backend/src/tmss/tmssapp/models/specification.py
@@ -73,7 +73,7 @@ class Datatype(AbstractChoice):
         INSTRUMENT_MODEL = "instrument model"
         IMAGE = "image"
         QUALITY = "quality"
-        PROFILE = "profile"
+        PULSAR_PROFILE = "pulsar profile"
 
 
 class Dataformat(AbstractChoice):
diff --git a/SAS/TMSS/backend/src/tmss/tmssapp/populate.py b/SAS/TMSS/backend/src/tmss/tmssapp/populate.py
index f704cd013916e4a27ac94ef210fc1cb313ad0c08..1827c3ccc42540caa5c76d1eb58bf8eb903833b8 100644
--- a/SAS/TMSS/backend/src/tmss/tmssapp/populate.py
+++ b/SAS/TMSS/backend/src/tmss/tmssapp/populate.py
@@ -397,7 +397,7 @@ def populate_connectors():
                                  iotype=IOType.objects.get(value=IOType.Choices.OUTPUT.value))
 
     TaskConnectorType.objects.create(role=Role.objects.get(value=Role.Choices.ANY.value),
-                                 datatype=Datatype.objects.get(value=Datatype.Choices.PROFILE.value),
+                                 datatype=Datatype.objects.get(value=Datatype.Choices.PULSAR_PROFILE.value),
                                  task_template=TaskTemplate.objects.get(name='pulsar pipeline'),
                                  iotype=IOType.objects.get(value=IOType.Choices.OUTPUT.value))
 
diff --git a/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py b/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py
index 14688be5cbc486c8c1821d5449465266f79ddba3..382fc8381cdbf608d60cba4a3d24ca7b9c2a9898 100644
--- a/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py
+++ b/SAS/TMSS/backend/src/tmss/tmssapp/subtasks.py
@@ -1446,7 +1446,7 @@ def _create_pulsar_pipeline_output_dataproducts_and_transforms(pipeline_subtask:
     pipeline_subtask_output = pipeline_subtask.outputs.first()  # TODO: if we have several, how to map input to output?
 
     dataformat = Dataformat.objects.get(value="pulp analysis")
-    datatype = Datatype.objects.get(value="profile")
+    datatype = Datatype.objects.get(value="pulsar profile")
     dataproduct_specifications_template = DataproductSpecificationsTemplate.objects.get(name="time series")
     dataproduct_feedback_template = DataproductFeedbackTemplate.objects.get(name="empty")