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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]

Mogens G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: [email protected]

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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 G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: [email protected]. Agenda. - PowerPoint PPT Presentation

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Page 1: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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]

Page 2: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

Agenda

1.On-going project – vision and implementation

2.Quality framework and related standards

3.Challenges

4.Conclusions

Page 3: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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

Page 4: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

”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

Page 5: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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

Page 6: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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Single Integrated Metadata Structure (SIMS) and reporting formats: ESMS and ESQRS

Page 7: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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Work processes and quality declarations

Needs : Fill in user needs

etc.

Analyse : Fill in accuracy

etc.

Page 8: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

Work processes and quality declarations in Colectica – Retail Trade index

Page 9: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

Workprocesses and quality declarations in Colectica – Retail Trade index

Page 10: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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

Page 11: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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

Page 12: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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Implementation of Eurostat Quality Framework

Page 13: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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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”

Page 14: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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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

Page 15: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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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

Page 16: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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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

Page 17: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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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

Page 18: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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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

Page 19: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

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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

Page 20: Mogens  G rosen Nielsen & Lars Thygesen, Statistics Denmark E-mail: mgn@dst.dk

The End!