diff --git a/osm/schemas/schema_helpers.py b/osm/schemas/schema_helpers.py
index 8d9502d9..5ea35f05 100644
--- a/osm/schemas/schema_helpers.py
+++ b/osm/schemas/schema_helpers.py
@@ -26,6 +26,10 @@ def rtransparent_pub_data_processing(row):
     return row
 
 
+def theneuro_data_processing(row):
+    return row
+
+
 def types_mapper(pa_type):
     if pa.types.is_int64(pa_type):
         # Map pyarrow int64 to pandas Int64 (nullable integer)
diff --git a/scripts/invocation_upload.py b/scripts/invocation_upload.py
index 84f82138..5935314e 100644
--- a/scripts/invocation_upload.py
+++ b/scripts/invocation_upload.py
@@ -23,7 +23,11 @@
     "user_comment": "Bulk upload of NIH-IRP data",
     "components": [Component(name="Sciencebeam parser/RTransparent", version="x.x.x")],
 }
-
+theneuro_kwargs = {
+    "data_tags": ["Th Neuro"],
+    "user_comment": "Bulk upload of The Neuro data containing OddPub metrics underlying RTransparent metrics for open code/data.",
+    "components": [Component(name="TheNeuroOddPub", version="x.x.x")],
+}
 logging.basicConfig(
     level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
 )
@@ -58,6 +62,8 @@ def get_data(args):
     file_in = Path(args.input_file)
     if file_in.is_dir() or file_in.suffix == ".parquet":
         tb = ds.dataset(file_in, format="parquet").to_table()
+    else:
+        raise ValueError("Only parquet files are supported")
     return tb
 
 
@@ -70,6 +76,8 @@ def get_upload_kwargs(args):
             kwargs = rtrans_publication_kwargs
         elif args.custom_processing == "irp_data_processing":
             kwargs = irp_kwargs
+        elif args.custom_processing == "theneuro_data_processing":
+            kwargs = theneuro_kwargs
         else:
             raise ValueError(
                 f"Kwargs associated with {args.custom_processing} not found"