diff --git a/src/data_integration_lib.py b/src/data_integration_lib.py
new file mode 100644
index 0000000..2192f2d
--- /dev/null
+++ b/src/data_integration_lib.py
@@ -0,0 +1,100 @@
+import os
+
+import src.hdf5_lib as hdf5_lib
+import yaml
+from datetime import datetime
+
+
+
+def integrate_data_sources(yaml_config_file_path):
+
+    """ returns an hdf5 file for each experimental campaign specified by the input configuration file.
+    
+    """
+    # TODO: add and commit changes to yaml_config_file_path
+    with open(yaml_config_file_path,'r') as stream:
+        try:
+            config_dict = yaml.load(stream, Loader=yaml.FullLoader)
+        except yaml.YAMLError as exc:
+            print(exc)
+
+    output_filename = lambda name, datetime, initials: '_'.join([name,datetime,initials])+'.h5'
+    exp_campaign_name = config_dict['experiment_name']
+    initials = config_dict['user_name']
+    input_file_dir = config_dict['input_file_directory']
+    output_dir = config_dict['output_file_directory']
+
+    select_dir_keywords = config_dict['instrument_datafolder']
+
+    root_metadata = {'project_name' : config_dict['project_name'],
+                    'experiment_name' : config_dict['experiment_name'],
+                    'user_name' : config_dict['user_name'],
+                    }
+
+    if config_dict['datetime_steps']:
+
+        datetime_augment_dict = {}
+        for datetime_step in config_dict['datetime_steps']:
+            tmp = datetime.strptime(datetime_step,'%Y-%m-%d %H-%M-%S') #convert(datetime_step)
+            datetime_augment_dict[tmp] = [tmp.strftime('%Y-%m-%d'),tmp.strftime('%Y_%m_%d'),tmp.strftime('%Y.%m.%d'),tmp.strftime('%Y%m%d')]
+            print(tmp)
+
+        if 'experimental_step' in config_dict['integration_mode']: 
+            for datetime_step in datetime_augment_dict.keys():
+                select_file_keywords = datetime_augment_dict[datetime_step]
+                output_filename_step = output_filename(exp_campaign_name,datetime_step.strftime('%Y-%m-%d'),initials)
+                output_filename_step = os.path.join(output_dir,output_filename_step)
+                print(output_filename_step)
+                output_filename_path, output_yml_filename_path = hdf5_lib.create_hdf5_file_from_filesystem_path(output_filename_step,
+                                                                                                                input_file_dir,
+                                                                                                                select_dir_keywords,
+                                                                                                                select_file_keywords,
+                                                                                                                root_metadata_dict = root_metadata)
+        elif 'collection' in config_dict['integration_mode']:
+            select_file_keywords = []
+            for datetime_step in datetime_augment_dict.keys():
+                select_file_keywords = select_file_keywords + datetime_augment_dict[datetime_step]
+
+            min_datetime = min(datetime_augment_dict.keys())
+            max_datetime = max(datetime_augment_dict.keys())
+            output_filename_step = output_filename(exp_campaign_name,min_datetime.strftime('%Y-%m-%d')+'_'+max_datetime.strftime('%Y-%m-%d'),initials)
+            output_filename_step = os.path.join(output_dir,output_filename_step)
+            output_filename_path, output_yml_filename_path = hdf5_lib.create_hdf5_file_from_filesystem_path(output_filename_step,
+                                                                                                                input_file_dir,
+                                                                                                                select_dir_keywords,
+                                                                                                                select_file_keywords,
+                                                                                                                root_metadata_dict = root_metadata)
+        
+    else:
+        output_filename_step = output_filename(exp_campaign_name,'yyyy-mm-dd',initials)
+        output_filename_step = os.path.join(output_dir,output_filename_step)
+        output_filename_path, output_yml_filename_path = hdf5_lib.create_hdf5_file_from_filesystem_path(output_filename_step,
+                                                                                                        input_file_dir,
+                                                                                                        select_dir_keywords,
+                                                                                                        select_file_keywords=[],
+                                                                                                        root_metadata_dict = root_metadata)
+
+
+ 
+
+        """for datetime_step in config_dict['datetime_steps']:
+
+            tmp = datetime.strptime(datetime_step,'%Y-%m-%d %H-%M-%S') #convert(datetime_step)
+
+            root_metadata['creation_date'] = datetime_step
+            
+            print(tmp)
+            select_file_keywords = [tmp.strftime('%Y-%m-%d'),tmp.strftime('%Y_%m_%d'),tmp.strftime('%Y.%m.%d'),tmp.strftime('%Y%m%d')]
+            print(select_file_keywords)
+            
+            output_filename_step = output_filename(exp_campaign_name,tmp.strftime('%Y-%m-%d_%H-%M-%S'),initials)
+            output_filename_step = os.path.join(output_dir,output_filename_step)
+            print(output_filename_step)
+
+            output_filename_path, output_yml_filename_path = hdf5_lib.create_hdf5_file_from_filesystem_path(output_filename_step,
+                                                                                                            input_file_dir,
+                                                                                                            select_dir_keywords,
+                                                                                                            select_file_keywords,
+                                                                                                            root_metadata_dict = root_metadata)"""
+                      
+    return output_filename_path, output_yml_filename_path
\ No newline at end of file