Home Industries Health Sciences Data Management Workbench 3.0 Oracle Health Sciences Data Management Workbench Release 3.0 Videos What's new in DMW 3.0 What's new in DMW 3.0 Accelerate Data Cleansing, Integration and Analysis from Source to Submission Oracle Health Sciences Data Management Workbench is the industry’s only, true, end-to-end, clinical data management solution for data cleansing, integration and analysis. (3:27) Concepts Overview An overview of DMW concepts (3:58) Create a Study Create a Study (1:14) Create an InForm Clinical Data Model Create an InForm Clinical Data Model (2:29) Create a File-Based Input Clinical Data Model Create a File-Based Input Clinical Data Model (4.13) Create a Target Data Model Create a Target Data Model (2:50) Create a Data Transformation Create a Data Transformation (2:24) Create a Join Transformation Create a Join Transformation (2:13) Create a Union Transformation Create a Union Transformation (2:35) Create a Pivot Transformation Create a Pivot Transformation (1:47) Create an Unpivot Transformation Create an Unpivot Transformation (2:25) Create a Custom Program in LSH to use in DMW Create a custom program in Oracle Life Sciences Data Hub for use in DMW transformations or validation checks. (4:44) Create a Custom Function in LSH to use in DMW Create a Custom Function in LSH to use in DMW (3:23) Create a Transformation using a Custom Program Create a Transformation using a Custom Program (3:23) Create a Transformation Using a Custom Function in DMW Create a transformation using a custom function in DMW (3.28) Create a Codelist Create a Codelist (1:36) Map a Target Table's Columns manually Map a target table's columns manually (1:57) Automap Target Tables Columns Automap Target Tables Columns (1:27) Automap Tables in a Transformation Automap tables in a Transformation (2:09) Create a Validation Check Create a Validation Check (5:01) Set up DMW for Coding in TMS Set up DMW for Coding in TMS (2:41) Set up TMS Coding in a Study Set up TMS Coding in a Study (2:40) View Data and Create Discrepancies View Data and Create Discrepancies (2:03) Review and Act on Discrepancies Review and act on discrepancies (1:23) Filter Data and Discrepancies Filter Data and Discrepancies in DMW (2:03) Create a Custom Listing and Use the Expression Builder Create a custom listing and use the expression builder. (3.58) Check the Data Load using the Data Flow Visualization Check the Data Load using the Data Flow Visualization (1:09) Use the Study Health Monitor Use the Study Health Monitor