A System for Managing Data Quality for Statistical Organizations

SpeakerDr. Paul Biemer
Organization Research Triangle Institute
LocationEBII 1230
DateApril 4, 2014 12:50 PM

This paper describes a general framework for improving the quality of statistical programs in organizations that provide a continual flow of statistical products to users and stakeholders. The work stems from a 2011 mandate to Statistics Sweden issued by the Swedish Ministry of Finance to develop a system of quality indicators for tracking developments and changes in statistical product quality and for achieving continual improvements in survey quality across a diverse set of key statistical products. We describe this system, apply it to a number of products at Statistics Sweden, and summarize key results and lessons learned. The implications of this work for monitoring and evaluating product quality in statistical organizations are discussed.

Dr. Paul Biemer is an RTI Distinguished Fellow and Director of the Center for Complex Data Analysis at RTI. He is also Associate Director of Survey Research and Development at the Odum Institute, University of North Carolina, Chapel Hill. He has over 35 years of experience in statistical methodology, and has authored over 100 publications in the field. Dr. Biemer is a Fellow of the ASA and the AAAS and an Elected Member of the ISI. Among his awards he holds the H.O. Hartley Award, Morris Hansen Award and the Roger Herriot Award for his work in statistics.

  April 2014
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