diff --git a/app/api/crud.py b/app/api/crud.py
index 1cdc6e1..5ea2f82 100644
--- a/app/api/crud.py
+++ b/app/api/crud.py
@@ -24,8 +24,8 @@
     "assessment",
     "image_modal",
     "dataset_name",
+    "dataset_uuid",
     "dataset_portal_uri",
-    "dataset_file_path",
 ]
 
 
@@ -107,13 +107,11 @@ async def get(
     results_df = pd.DataFrame(results_dicts).reindex(columns=ATTRIBUTES_ORDER)
 
     response_obj = []
-    dataset_cols = ["dataset_name", "dataset_portal_uri", "dataset_file_path"]
+    dataset_cols = ["dataset_uuid", "dataset_name"]
     if not results_df.empty:
-        for (
-            dataset_name,
-            dataset_portal_uri,
-            dataset_file_path,
-        ), group in results_df.groupby(by=dataset_cols):
+        for (dataset_uuid, dataset_name), group in results_df.groupby(
+            by=dataset_cols
+        ):
             if util.RETURN_AGG.val:
                 subject_data = list(group["session_file_path"].dropna())
             else:
@@ -139,9 +137,11 @@ async def get(
 
             response_obj.append(
                 CohortQueryResponse(
+                    dataset_uuid=dataset_uuid,
                     dataset_name=dataset_name,
-                    dataset_portal_uri=dataset_portal_uri,
-                    dataset_file_path=dataset_file_path,
+                    dataset_portal_uri=group["dataset_portal_uri"].iloc[0]
+                    if group["dataset_portal_uri"].notna().all()
+                    else None,
                     num_matching_subjects=group["sub_id"].nunique(),
                     subject_data=subject_data,
                     image_modals=list(group["image_modal"].unique()),
diff --git a/app/api/models.py b/app/api/models.py
index e45ecc4..f1a31ff 100644
--- a/app/api/models.py
+++ b/app/api/models.py
@@ -1,5 +1,7 @@
 """Data models."""
 
+from typing import Optional
+
 from fastapi import Query
 from fastapi.exceptions import HTTPException
 from pydantic import BaseModel, constr, root_validator
@@ -51,9 +53,10 @@ def check_exclusive_diagnosis_or_ctrl(cls, values):
 class CohortQueryResponse(BaseModel):
     """Data model for query results for one matching dataset (i.e., a cohort)."""
 
+    dataset_uuid: str
+    # dataset_file_path: str  # TODO: Revisit this field once we have datasets without imaging info/sessions.
     dataset_name: str
-    dataset_portal_uri: str
-    dataset_file_path: str
+    dataset_portal_uri: Optional[str]
     num_matching_subjects: int
     subject_data: list
     image_modals: list
diff --git a/app/api/utility.py b/app/api/utility.py
index 73146dc..3fa06ee 100644
--- a/app/api/utility.py
+++ b/app/api/utility.py
@@ -53,7 +53,7 @@
 
 CATEGORICAL_DOMAINS = [SEX, DIAGNOSIS, IMAGE_MODAL, ASSESSMENT]
 
-IS_CONTROL_TERM = "http://purl.obolibrary.org/obo/NCIT_C94342"
+IS_CONTROL_TERM = "purl:NCIT_C94342"  # TODO: Remove once https://github.com/neurobagel/bagel-cli/issues/139 is resolved.
 
 
 def create_query(
@@ -136,19 +136,20 @@ def create_query(
         )
 
     query_string = f"""
-        SELECT DISTINCT ?dataset_name ?dataset_portal_uri ?dataset_file_path ?sub_id ?age ?sex
+        SELECT DISTINCT ?dataset_uuid ?dataset_name ?dataset_portal_uri ?sub_id ?age ?sex
         ?diagnosis ?subject_group ?num_sessions ?session_id ?assessment ?image_modal ?session_file_path
         WHERE {{
-            ?dataset a nb:Dataset;
+            ?dataset_uuid a nb:Dataset;
                     nb:hasLabel ?dataset_name;
-                    nb:hasPortalURI ?dataset_portal_uri;
-                    nb:hasFilePath ?dataset_file_path;
                     nb:hasSamples ?subject.
             ?subject a nb:Subject;
                     nb:hasLabel ?sub_id;
                     nb:hasSession ?session;
                     nb:hasSession/nb:hasAcquisition/nb:hasContrastType ?image_modal.
             ?session nb:hasLabel ?session_id.
+            OPTIONAL {{
+                ?dataset_uuid nb:hasPortalURI ?dataset_portal_uri.
+            }}
             OPTIONAL {{
                 ?session nb:hasFilePath ?session_file_path.
             }}
@@ -184,9 +185,9 @@ def create_query(
     # wrap query in an aggregating statement so data returned from graph include only attributes needed for dataset-level aggregate metadata.
     if return_agg:
         query_string = f"""
-            SELECT ?dataset_name ?dataset_portal_uri ?dataset_file_path ?sub_id ?session_file_path ?image_modal WHERE {{\n
+            SELECT ?dataset_uuid ?dataset_name ?dataset_portal_uri ?sub_id ?session_file_path ?image_modal WHERE {{\n
             {query_string}
-            \n}} GROUP BY ?dataset_name ?dataset_portal_uri ?dataset_file_path ?sub_id ?session_file_path ?image_modal
+            \n}} GROUP BY ?dataset_uuid ?dataset_name ?dataset_portal_uri ?sub_id ?session_file_path ?image_modal
         """
 
     return "\n".join([DEFAULT_CONTEXT, query_string])
diff --git a/tests/test_query.py b/tests/test_query.py
index d3263c8..da444e4 100644
--- a/tests/test_query.py
+++ b/tests/test_query.py
@@ -13,9 +13,9 @@ def test_data():
     """Create toy data for two datasets for testing."""
     return [
         {
+            "dataset_uuid": "http://neurobagel.org/vocab/12345",
             "dataset_name": "QPN",
-            "dataset_portal_uri": "https://openneuro.org/datasets/ds002725",
-            "dataset_file_path": "https://github.com/OpenNeuroDatasets/ds002725.git",
+            "dataset_portal_uri": "https://rpq-qpn.ca/en/researchers-section/databases/",
             "num_matching_subjects": 5,
             "subject_data": [
                 "/my/happy/path/sub-0051/to/session-01",
@@ -30,9 +30,9 @@ def test_data():
             ],
         },
         {
+            "dataset_uuid": "http://neurobagel.org/vocab/67890",
             "dataset_name": "PPMI",
-            "dataset_portal_uri": "https://openneuro.org/datasets/ds002727",
-            "dataset_file_path": "https://github.com/OpenNeuroDatasets/ds002727.git",
+            "dataset_portal_uri": "https://www.ppmi-info.org/access-data-specimens/download-data",
             "num_matching_subjects": 3,
             "subject_data": [
                 "/my/happy/path/sub-719238/to/session-01",