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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 - PowerPoint PPT Presentation
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Statistics Denmarkcommunicating methodology
Ulla Agerskov
Topic (iv): Good practices in communicating methodology Work Session on the Communication of Statistics ▼ Berlin 29 May 2013
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2
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.
>>
Documentation and methodology
The challenges Quality declarations – new
setup New ways of communicating
methodology Errata
Program
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4
A. ”What-documentation” – content of statistics1) Quality-declarations and quality reports2) Concepts3) Variables4) Categories and codes (classifications)
B. ”How-documentation” – how we produce the statistics1) Management : Business Case, Project plan, Status,
Evaluation etc2) Work-processes: (workflow, user-guides, process
descriptions etc.) 3) IT: Requirement-, Design-, Test-, Maintenance-documents
etc
Main types of documentation
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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-standards3. Variables: Presentation on the Internet is not consolidated –
not consistent4. 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
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”Metadata must be connected and reusable ”
Hvad betyder
Quality declaration
Variable/datasetConceptVariable database
KlassifikationsdatabaseClassifications
Methods/ ”Survey”StatBank Methods papers
Class database
Concepts 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)
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Present version:
Loads of information
Without angle
Without target group
Quality declarations
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Prototype
Must be further developed - on the basis of input from internal and external users
More news-orientedand targeted
Must suit the needs of many different users: Specialists, journalists, students, etc.
Quality declaration – new setup
Introduction
Contents
Accuracy
Comparability
Accessibility
TimeContact
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Subject pages – www.dst.dk
Videos
New ways of communicating methodology
>> 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
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Errors in News from Statistics Denmark
Trends in errors
Based on a systematic reporting of errors:
Explanation, type, etc.
2006 2007 2008 2009 2010 2011 20120
5
10
15
20
25
30
35
40
45
Serious
Limited
Minor
Total
Number
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Data input:Serious errors
Production:Mixed
Errors in dissimination:Limited
Why and where?20
06
2007
2008
2009
2010
2011
2012
2006
2007
2008
2009
2010
2011
2012
2006
2007
2008
2009
2010
2011
2012
Data input Production of statistics Dissimination
0
10
20
30
40
50
60
70
80
90
100
Limited
SeriousPer cent
The End!
