The Data Management (DM) function varies widely between UKCRC clinical trials units. Dm teams often struggle with resource to create materials (such as training materials) to standardise the DM function. When materials are produced by DM teams there is frequently duplication of effort and inefficiencent use of limited resources. Why does data management matter? Research is all about good data. To be able to have confidence in your data then you need to have robust data management process. Data management refers to the processes involved in planning, collecting, organising, processing, storing and maintaining data within research trials for the duration of the study. Good data management practices and processes are essential when conducting research to ensure high quality research output and data integrity. This was joint effort to identify and document standard data management processes between three Clinical Trial Units focusing on new starters, but applicable to all. Included Infographics The DM manual is text heavy, so the team developed three inforgraphic posters as quick reference guide to direct to required section of the manual and as a reference information for Chief Investigators and other CTU staff. What is Data Management Infographic Flyer v1.0 Introduction to Data Management Infographic Flyer v1.0 Data Management Through the Lifecycle of a Trial Diagram v1.0 This document was created by members of Clinical Trials Unit IT and Data Management teams from University of Bristol, Cardiff University and University of Exeter (UK). The work was part of an award from GW4 supporting collaborations and between the three CTUs to reduce duplication of effort and improve efficiency. Efficiencies through collaborationBetter IT & Better DM = Better Research