1. Statistics Denmark’s presentation of metadata
Seminar on ESA 2010 Metadata
June 2017
Thomas Olsen, National Accounts
Statistics Denmark

2. Klassifikationsdatabase
Integration of metadata in Statistics Denmark – the vision we are working towards
StatBank
Methods / ”Survey”
Methods papers
Quality reports
Concept
Variable/dataset
Concepts database
Hvad betyder
Variable database
Classifications
Klassifikationsdatabase
Class database

3. Quality reports – content is what is covered by SIMS
Help for the user to understand the statistics – providing information on the frame we have worked within
Explain the content of the statistics
History
Purpose of the statistics
Content – population, variables etc.
Quality = Fitness for use
Quality of contents:
Relevance, Accuracy & reliability, Timeliness and punctuality, Coherence & comparability, Accessibility and clearness

4. Starting point for quality reports
Starting point is Code of Practise and ESS Quality assurance framework
Indicator 4.3 – reporting of quality
Indicator 15.5 – metadata are documented according to standardised metadata systems
Standards:
SIMS - Single Integrated Metadata Structure
ESQR - ESS Standard for Quality Reports Structure
ESMS - Euro-SDMX Metadata Structure
GSBPM - Generic Statistics Business Process Model
Because we want the quality work to be incorporated in the whole process

5. Quality reports in Statistics Denmark are presented at three levels
User oriented
“Front page” to appear at Statistics Denmark’s website, with a short description of the 9 headlines
From the front page one can open around 60 headlines
Producer oriented
From our intranet, one can open around 100 specified topics (SIMS)
SIMS topics cover the more detailed quality report. Links to annexes
Prepared in Danish and English

6. Same presentation of quality reports for all statistical products

7. Presentation on dst.dk – front page

8. Presentation on dst.dk – more details

9. Presentation on intranet
When preparing the quality report - start from most detailed level

10. Development and maintenance of quality reports is a cooperation between quality coordinator and subject matter responsible
Edit mode
QA mode
Changes made by subject matter responsible
Return to QA
Approved by QC
Disseminated at (by subject matter responsible)
Cycle:
Every new dissemination of a statistics is followed by an updated quality report

11. Communication is crucial – which language to use when writing?
Short easy to understand sentences
Recommendation is – have a ”high school graduate” in mind
Say one thing at the time
Use simple words and explain difficult words
Be concise
Be explicit

12. Streamlining and harmonising metadata and quality reporting
Once for all purposes reporting
Each concept is only reported upon once and is re-usable
Integrated and consistent quality and metadata
Reporting framework where the reports are stored in the same database
A flexible and up to date system
Where future extensions are possible by adding new concepts 
Single Integrated Metadata Structure” (SIMS)
A dynamic and unique inventory of ESS quality and metadata statistical concepts has been created
All statistical concepts of the two existing ESS report structures (ESMS and ESQRS) have been included and streamlined by assuring that all concepts appear and are therefore reported upon only once

13. Publish at the Intranet Send Quality report to EU
Publish at
Enter SIMS fields
METADATA IN
COLECTICA
Publish at the Intranet
Send Quality report to EU 13

14. Link between national and ESS quality reports
Our national quality reports are aligned with SIMS
The idea is in one product to cover all customers (national, EU, international – e.g. MIP, SDDS).
Issue with granularity
Eurostat domains
(MAIN, SEC, REG, SUT)
Statistics Denmark domains
(Annual, quarterly, employment, REG)
In order to automatize completely, a one-to-one relationship between fields is needed