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Implementation of Eurostat Quality Declarations with Cost-Effective Use of Standards
Q2014 - European conference on quality in statistics Vienna 2-5 June 2014
Mogens Grosen Nielsen & Lars Thygesen,Statistics Denmark
E-mail: [email protected]
Agenda
1.On-going project – vision and implementation
2.Quality framework and related standards
3.Challenges
4.Conclusions
Vision and focus at Statistics Denmark
1. Statistical information must help users in the “turbulent information-sea”
2. Metadata about content and quality must
help users in their knowledge processes
give users precise information about our products
3. International standards and standard software must enable:
Cost efficient solution Gradual implementation with few
ressources Sustainable long term solution
”Classical” metadata elements implemented using Data Documenation initiative (DDI) and SDMX
Hvad betyder
Quality declaration
Variable/datasetConcept
Variable database
Klassifikationsdatabase
Classifications
Methods/ ”Survey”StatBank Methods papers
Class database
Concepts database
THE SOLU-
TION
METADATA IN
COLECTICA
Enter Q.D. Publish at Dst.dk
Q.D. to EU
Publish at the Intranet
REU
SE E
XIS
TIN
G
META
DA
TA
6
Single Integrated Metadata Structure (SIMS) and reporting formats: ESMS and ESQRS
7
Work processes and quality declarations
Needs : Fill in user needs
etc.
Analyse : Fill in accuracy
etc.
Work processes and quality declarations in Colectica – Retail Trade index
Workprocesses and quality declarations in Colectica – Retail Trade index
Transmission to Eurostat and customized presentation in reports and at dst.dk - Many views into quality declarations to support various
users- Example: Extract from report with summary information
for Retail Trade Index
Status on EU-grant project
System using Colectica, DDI and SDMX in place SIMS quality concept classification inside with
integration to concept database Files to Eurostat complying with ESMS and ESQRS
metadata structure definitions can be generated Guidelines and course material prepared About 100 surveys created and subject matter staff
are working to transform from old to new standard-based quality declarations
12
Implementation of Eurostat Quality Framework
13
Quality defineed and requirement for the Quality management system
1. Define content: SIMS
2. Guidelines for production processes
3. User needs: survey specfic and quality / metadata specific
4. Quality organisation
Definition of quality: “the degree to which a set of inherent characteristics of processes and products fulfils requirements”
14
Challenge Increase in number of user demand on content
Response Focus-groups Improved dissemination
Suggestion for research and development How to improve dissemination of information on content and
quality dimensions How to ensure descriptions of society fulfilling the
democratic ideal on information
Challenge #1 User needs
15
Response Stepwise implementation towards end-to-end processes
Suggestion for research and development How to implement efficient end-to-end processes (value
chains) Business Process Management
Challenge #2 Corporate level issues
Challenge Stove pipes
16
Challenge Weak awareness on systematic quality work How to put quality elements into GSBPM
Solution Describe each SIMS element in one or more GSBPM
processes
Suggestion for research and development Improve integration of SIMS, QAF and GSBPM
Challenge #3 Integrating quality into business processes
17
Challenge Reuse of metadata Short term solution must not conflict with long term solutions
Solution Standards (DDI, SDMX etc.) implemented stepwise
Suggestion for research and development How to implement stepwise standards with different ambition
levels GSIM should be improved towards practical use
Challenge #4 Standards and technical implementation
18
Challenge How to handle the four challenges above at Member and Eurostat
level in a coordinated manner?
Solution Implement the same standards at different ambition-levels
Suggestion for research and development How do organisations work as social systems and how to
improve cooperation of organisation
Cost-efficient solutions at Member State and Eurostat level
19
Main conclusions to increase cost effectiveness
More R&D on how to a) fulfill user needs
b) integrate quality and metadata into processes
Build modern library catolog systems
Access to Quality and Metadata should be like
shopping at Amazon
Think global, act localImplement the same standards
at National and International level, but with different
ambition-levels
The End!