1. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 1 National Center for Health Statistics National Center for Health Statistics International Collaborative Effort on Injury Statistics Joseph S. Carra Associate Administrator National Highway Traffic Safety Administration National Center for Statistics and Analysis Washington, DC

2. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 2 Outline We will discuss :  A Overview of National Center for Statistics and Analysis  Critical Nature of Data  Goals of National Highway Traffic Safety Administration  Examples of Improving Data

3. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 3 NHTSA and Data  NHTSA and the highway safety community overall are very data driven  Data are used extensively for:  Basic research  Identifying problem areas  Identifying program and rulemaking needs  Developing and evaluating programs, rules and standards  Evaluating new technologies  Allocating grants  Implementing GPRA

4. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 4 What is NCSA?  Provides:  data collection, data analysis, and data dissemination on real world crashes and traffic records  To:  NHTSA, but also to:  other parts of DOT  outside stakeholders  automobile manufacturers  universities

5. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 5 Ingredients of an Effective Crash Data Collection Program

6. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 6 Why Are Data Critical? Building A Data Collection System 1) Problem Identification 2) In Depth Understanding 3) Approach To Addressing Problem 4) Development/Implementation Of Approach 5) Evaluation 6) Adjustments

7. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 7 NCSA’s Data Collection Network

8. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 8 Data Sources for NCSA Programs: Police Crash Reports Crash Scene Investigations Vehicle Inspections / Measurements Involved Person Interviews Medical Records (Hospital / EMS) State Vehicle Registration Files State Highway Department Data Vital Statistics Death / Coroner / ME Reports Data Sources

9. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 9 Haddon Matrix HumanVehicleEnvironment Pre-Crash Human Factors Experience/Training Distraction Vehicle Factors Defects, Brakes, Tires, etc. Highway Factors Visibility Signalization Crash Human Tolerance Occupant Protection Crashworthiness Effectiveness of Safety Systems Post-Crash Cost Long Term Disabilities Post Crash Outcomes Fuel Leakage, Fire Bystander Care EMS System First Responders

10. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 10 Crash Data Crash research and data collection tries to answer a basic set of questions regarding traffic crashes and their outcomes: Who, What, When, Where, Why and How?

11. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 11 Data Qualities  Timeliness  - Is the data available when you need it?  Completeness  - Are you collecting the kinds of data that adequately address the problem?  Accuracy  - Reliability of data. Quality Control.  Accessibility  - Who are the main users of the data? Data dissemination.  Uniformity  - Can data be shared with other systems?

12. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 12 NHTSA Global Road Safety Agenda  NHTSA will be a global leader in road traffic safety sharing its knowledge and expertise.  NHTSA will maintain its leadership and influence in international organizations that are stakeholders in regional or global road safety.  In particular, provide technical assistance to develop traffic safety data record systems

13. September 7, 2006 NHTSA’s National Center for Statistics & Analysis 13 Example  APEC – (Asia - Pacific Economic Cooperation)  Motivate – Encourage APEC economies to take necessary steps to improve their data.  Master Plan – Work with volunteer APEC economies to develop ways to improve their data.  Assessments – Evaluate existing systems.  Blueprint – Develop detailed design / redesign plan of action.  Implement – Perform or carry out plan of action.