diff --git a/src/hdf5_data_extraction.py b/src/hdf5_data_extraction.py
index b299d60..190ed0f 100644
--- a/src/hdf5_data_extraction.py
+++ b/src/hdf5_data_extraction.py
@@ -3,6 +3,7 @@ import pandas as pd
 import numpy as np
 import os
 import src.hdf5_vis as hdf5_vis
+import src.g5505_utils as utils
 import logging
 
 class HDF5DataOpsManager():
@@ -49,7 +50,7 @@ class HDF5DataOpsManager():
         if self.file_obj is None:
             self.open_file()
 
-        dataset_obj = self.file_obj()[dataset_name]
+        dataset_obj = self.file_obj[dataset_name]
         # Read dataset content from dataset obj
         data = dataset_obj[...] 
         # The above statement can be understood as follows: 
@@ -62,6 +63,20 @@ class HDF5DataOpsManager():
         except ValueError as exp:
             logging.error(f"Failed to convert dataset '{dataset_name}' to DataFrame: {exp}")
             return data  # 'data' is a NumPy array here
+        
+    def append_dataset(self,dataset_dict, group_name):
+        
+        # Parse value into HDF5 admissible type
+        for key in dataset_dict['attributes'].keys():
+            value = dataset_dict['attributes'][key] 
+            dataset_dict['attributes'][key] = utils.parse_attribute(value)
+
+            #name = dataset_dict['name']
+            #data = dataset_dict['data']
+            #dtype = dataset_dict['dtype']
+
+        self.file_obj[group_name].create_dataset(dataset_dict['name'], data=dataset_dict['data'])
+        self.file_obj[group_name][dataset_dict['name']].attrs.update(dataset_dict['attributes'])