diff --git a/src/hdf5_data_extraction.py b/src/hdf5_data_extraction.py
index 4b62156..0906c87 100644
--- a/src/hdf5_data_extraction.py
+++ b/src/hdf5_data_extraction.py
@@ -100,6 +100,19 @@ class HDF5DataOpsManager():
                 annotation_dict[new_attr_key] = utils.parse_attribute(annotation_dict[new_attr_key])                
         obj.attrs.update(annotation_dict)
 
+    def get_metadata(self, obj_path):
+        """ Get file attributes from object at path = obj_path. For example,
+        obj_path = '/' will get root level attributes or metadata.
+        """
+        try:
+            # Access the attributes for the object at the given path
+            metadata_dict = self.file_obj[obj_path].attrs
+        except KeyError:
+            # Handle the case where the path doesn't exist
+            logging.error(f'Invalid object path: {obj_path}')
+            metadata_dict = {}
+
+        return metadata_dict
 
     def reformat_datetime_column(self, dataset_name, column_name, src_format, desired_format='%Y-%m-%d %H:%M:%S.%f'):
         # Access the dataset
@@ -165,11 +178,6 @@ def read_dataset_from_hdf5file(hdf5_file_path, dataset_path):
         #metadata_df = pd.DataFrame.from_dict(data, orient='columns')        
     return df
 
-def read_metadata_from_hdf5obj(hdf5_file_path, obj_path):
-    # TODO: Complete this function
-    metadata_df = pd.DataFrame.empty()
-    return metadata_df
-
 def list_datasets_in_hdf5file(hdf5_file_path):
 
     def get_datasets(name, obj, list_of_datasets):