Statistics Denmark communicating methodology Ulla Agerskov Topic (iv): Good practices in communicating methodology Work Session on the Communication of Statistics ▼ Berlin 29 May 2013 >> About me Ulla Agerskov, Senior Advisor, Communication Centre [email protected], +45 3917 3939 MSc Economics 1996 Statistics Greenland 1997-2000 Statistics Denmark since 2000 Editor of Statistical Yearbook, News from Statistics Denmark, communication, Social medial, etc. 2 >> Program Documentation and methodology The challenges Quality declarations – new setup New ways of communicating methodology Errata >> Main types of documentation A. ”What-documentation” – content of statistics 1) Quality-declarations and quality reports 2) Concepts 3) Variables 4) Categories and codes (classifications) B. ”How-documentation” – how we produce the statistics 1) Management : Business Case, Project plan, Status, Evaluation etc 2) Work-processes: (workflow, user-guides, process descriptions etc.) 3) IT: Requirement-, Design-, Test-, Maintenance-documents etc 4 Productive communicators >> of methodology Subject matter units Research and Methods Communication Centre >> The challenge #1 >> The challenge #2 1. Metadata is not co-ordinated and integrated to fullfill user demands 2. Quality declarations do not follow EU-standards 3. Variables: Presentation on the Internet is not consolidated – not consistent 4. Database of terms (not consolidated and consistent) 5. Metadata is not integrated with the proces model in Statistics Denmark (Documentation is usually made after the productions of statistics) 6. and the communication of methodology >> ”Metadata must be connected and reusable ” StatBank Methods/ ”Survey” Methods papers Quality declaration Concept Variable/dataset Concepts database Hvad betyder Variable database Classifications Klassifikationsdatabase Class database >> New project on metadata Purpose • to fulfill external users needs for metadata in connection with their use of statistics • Achieve internal efficiency, one metadata-system easy to use for all users. Detailed targets • Prepere Peer Review in 2014: Implementation of relevant indicators from EU’s Quality Assurance Frame-work. • Fulfill demands to the content of quality declarations (EU-grant received). >> Time schedule 1. Pilot part 1 (spring 2013) • User needs: dst.dk (strategy, method, prototype etc) • Quality declarations - simple version (demands, development and test on 5 statistics) • Work processes and guidelines • Terms and classifications (strategy, methods, etc.) 2. Pilot part 2 (fall 2013) • Quality declarations and metadata (demands, development and test on 5 statistics) • Courses, etc. 3. Evaluation of pilots and plan for 2014 (November og December 2013) 4. Adjustments and implementation (2014) • Demands, development and tests on 5 statistics • New setup implemented 6. Evaluation (November and December 2014) >> Quality declarations Present version: Loads of information Without angle Without target group >> Quality declaration – new setup Introduction Prototype Contents Accuracy Comparability Must be further developed - on the basis of input from internal and external users More news-oriented and targeted Accessibility Time Contact Must suit the needs of many different users: Specialists, journalists, students, etc. New ways of communicating >> methodology Subject pages – www.dst.dk Videos >> Errata An error is detected: Published instantly on the web and errata send to subscribers of the statistics >> Errata A brief explanation on the front page Errors in News from Statistics >> Denmark Number Trends in errors 45 40 Total 35 Based on a systematic reporting of errors: 30 25 20 Minor 15 Limited 10 Explanation, type, etc. 5 Serious 0 2006 2007 2008 2009 2010 2011 2012 >> Why and where? Limited Per cent Serious 100 Data input: Serious errors 90 Production: Mixed 80 70 60 50 Errors in dissimination: Limited 40 30 20 10 0 2006200720082009201020112012 Data input 2006200720082009201020112012 Production of statistics 2006200720082009201020112012 Dissimination The End!
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