--- a
+++ b/modules/DataDispatcher/DDManager.py
@@ -0,0 +1,32 @@
+#DDManager.py
+"""
+ Deep Learning for Cancer Therapy
+
+ Authors:
+ Kumud Ravisankaran | Valeria Brewer
+ Ninad Mehta | Suraj Jena
+
+"""
+import os
+from Queue import *
+import time
+from multiprocessing import Queue
+from Status.Status import Status
+
+class DDManager():
+    def __init__(self):
+        self.status = Status("DDManager")
+
+    def DispatchData(self,trainPaths,testPaths,dataDispatcherQ):
+        self.status.message(1,"DispatchData(self,trainPaths,testPaths,dataDispatcherQ)")
+        while((trainPaths.empty()==True and testPaths.empty()==True) or trainPaths.empty()==True or testPaths.empty()==True):
+            #entering this loops means that CVManager has not yet added next set of train/test folds to Queues.
+            time.sleep(1)
+
+        #reaching this point means that CVManager has both a test and train fold ready for DD in the Queues
+        self.trainFold = trainPaths.get()
+        self.testFold = testPaths.get()
+        #put the newly generated test and train folds in Admin's data Queue in the order which NNManager wants them
+        dataDispatcherQ.put(self.trainFold)
+        dataDispatcherQ.put(self.testFold)
+        self.status.message(0,"DispatchData(self,trainPaths,testPaths,dataDispatcherQ)")